TY - CHAP A1 - Nurhas, Irawan A1 - Geisler, Stefan A1 - Ojala, Arto A1 - Pawlowski, Jan ED - Bui, Tung T1 - Towards a Wellbeing-driven System Design for Intergenerational Collaborative Innovation: A Literature Review T2 - Proceedings of the 53rd Hawaii International Conference on System Sciences N2 - Researchers have previously utilized the advantages of a design driven by well-being and intergenerational collaboration (IGC) for successful innovation. Unfortunately, scant information exists regarding barrier dimensions and correlated design solutions in the information systems (IS) domain, which can serve as a starting point for a design oriented toward well-being in an IGC system. Therefore, in this study, we applied the positive computing approach to guide our analysis in a systematic literature review and developed a framework oriented toward well-being for a system with a multi-generational team. Our study contributes to the IS community by providing five dimensions of barriers to IGC and the corresponding well-being determinants for positive system design. In addition, we propose further research directions to close the research gap based on the review outcomes. KW - Intergenerational Innovation KW - Intergenerational Collaboration KW - positive computing Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5903 UR - http://hdl.handle.net/10125/63801 SN - 978-0-9981331-3-64 VL - 2020 SP - 502 EP - 511 PB - University of Hawai'i at Manoa CY - Hawaii, USA ER - TY - CHAP A1 - Nurhas, Irawan A1 - Aditya, Bayu R. A1 - Geisler, Stefan A1 - Pawlowski, Jan T1 - Why Does Cultural Diversity Foster Technology-enabled Intergenerational Collaboration? N2 - Globalization and information technology enable people to join the movement of global citizenship and work without borders. However, different type of barriers existed that could affect collaboration in today’s work environment, in which different generations are involved. Although researchers have identified several technical barriers to intergenerational collaboration (iGOAL), the influence of cultural diversity on iGOAL has rarely been studied. Therefore, using a quantitative study approach, this paper investigates the impact of differences in cultural background on perceived technical and operational barriers to iGOAL. Our study reveals six barriers to IGC that are perceived differently by culturally diverse people (CDP) and non-CDP. Furthermore, CDP can foster IGC because CDP consider the barriers to be of less of a reason to avoid working with different generations than do non-CDP. KW - Intergenerational Innovation KW - Intergenerational Collaboration KW - Collaboration Challenges Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5881 PB - Elsevier, Procedia Computer Science ER - TY - CHAP A1 - Joiko, Matthias A1 - Kohnen, Florian A1 - Lapinski, Kevin A1 - Moudrik, Houda A1 - Nurhas, Irawan A1 - Paproth, Florian A1 - Pawlowski, Jan ED - Drews, Paul ED - Funk, Burkhardt ED - Niemeyer, Peter ED - Xie, Lin T1 - Enabling decentral collaborative innovation processes -a web based real time collaboration platform T2 - Multikonferenz Wirtschaftsinformatik (MKWI) 2018 N2 - The main goal of this paper is to define a collaborative innovation process as well as a supporting tool. It is motivated through the increasing competition on global markets and the resultant propagation of decentralized projects with a high demand of innovative collaboration in global contexts. It bases on a project accomplished by the author group. A detailed literature review and the action design research methodology of the project led to an enhanced process model for decentral collaborative innovation processes and a basic realization of a browser based real time tool to enable these processes.The initial evaluation in a practical distributed setting has shown that the created tool is a useful way to support collaborative innovation processes. KW - innovation process model KW - innovation KW - collaboration KW - decentral cooperation KW - collaboration platform Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5851 UR - http://mkwi2018.leuphana.de/wp-content/uploads/MKWI_143.pdf SN - 978-3-935786-72-0 VL - 2018 SP - 1531 EP - 1542 PB - Leuphana Universität CY - Lüneburg ER - TY - CHAP A1 - Lausberg, Isabel A1 - Hoffmann, Dominique T1 - Robotic Process Automation, Predictive Analytics und künstliche Intelligenz - wo liegen die Anwendungsbereiche im Controlling? Ergebnisse einer empirischen Studie N2 - Vor dem Hintergrund globaler Vernetzung, Digitalisierung und Big Data geht das Excel-Zeitalter seinem Ende entgegen. Neue Technologien versprechen eine höhere Effizienz und Effektivität des Controllings. Die Veränderungen umfassen dabei alle Aufgabenbereiche des Controllings – allerdings mit unterschiedlicher Geschwindigkeit und differenzierten Lösungsansätzen. Der vorliegende Beitrag untersucht drei Technologien, die im Controlling derzeit besonders stark diskutiert werden: Robotic Process Automation, Predictive Analytics und Künstliche Intelligenz. Im Rahmen eines Forschungsseminars an der Hochschule Ruhr West in Mülheim a.d.R. wurden dazu 57 Führungskräfte aus Controlling und Rechnungswesen befragt. Über 75% der befragten Unternehmen halten die Digitalisierung für wichtig, mehr als die Hälfte (52%) beabsichtigen, eine oder mehrere der drei untersuchten Technologien in den nächsten drei Jahren neu einzusetzen. In den Aufgabenbereichen ist bislang vor allem das Reporting digital unterstützt, in der Strategischen Planung und im Risikomanagement ist dagegen die Digitalisierung gering. Wesentliche Hindernisse sehen die Befragten im fehlenden Know-How und mangelnder Veränderungsbereitschaft. KW - Digitalisierung KW - Controlling KW - Künstliche Intelligenz KW - Robotic Process Automation KW - Predictive Analytics Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5836 UR - https://www.hslu.ch/de-ch/wirtschaft/forschung/konferenzen/carf-luzern/carf-konferenzbeitraege/controlling/ ER - TY - CHAP A1 - Nurhas, Irawan A1 - Pawlowski, Jan A1 - Jansen, Marc A1 - Stoffregen, Julia T1 - OERauthors: requirements for collaborative OER authoring tools in global settings T2 - Adaptive and Adaptable Learning - Proceedings of the 11th European Conference on Technology Enhanced Learning N2 - Open Educational Resources (OER) intend to support access to education for everyone. However, this potential is not fully exploited due to various barriers in the production, distribution and the use of OER. In this paper, we present requirements and recommendations for systems for global OER authoring. These requirements as well as the system itself aim at helping creators of OER to overcome typical obstacles such as lack of technical skills, different types of devices and systems as well as the cultural differences in cross-border-collaboration. The system can be used collaboratively to create OER and supports multi-languages for localization. Our paper contributes to facilitate global, collaborative e-Learning and design of authoring platforms by identifying key requirements for OER authoring in a global context. KW - Open educational resources Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5801 SN - 978-3-319-45153-4 VL - 2016 SP - 460 EP - 465 PB - Springer ER - TY - RPRT A1 - Zengeler, Nico A1 - Grimm, Matthias A1 - Arntz, Alexander A1 - Keßler, Dustin A1 - Jansen, Marc A1 - Eimler, Sabrina A1 - Handmann, Uwe A1 - Hermsen, Klaus A1 - Grubert, Christian T1 - DamokleS 4.0 T2 - Interner Report N2 - Dieser interne Bericht beschreibt die Zielsetzung, Durchführung und Auswertung des Projektes Damokles 4.0. Das Projekt zielt darauf ab, neue, digitale Technologien in die Schwerindustrie einzuführen um Produktionsprozesse zu modernisieren. Unter Einsatz neuer Technologien, insbesondere mobiler Geräte, soll ein cyberphyiskalisches System (CPS) eine kontextbasierte und künstlich intelligente Unterstützung der Mitarbeiter in den Bereichen der Schwerindustrie ermöglichen. Hierzu werden typische Anwendungsfälle und die damit verbundenen Szenarien zur Unterstützung der Mitarbeiter auf Basis von neuen, flexiblen, adaptiven und mobilen Technologien, wie Augmented Reality und künstlicher Intelligenz, modelliert. Um den Prototypen einer AR-Anwendung und einer kamerabasierte Personenverfolgung zu entwickeln, hat die Hochschule Ruhr West im kleinen Technikum am Campus Bottrop eine entsprechende industrielle Umgebung simuliert. Die Projektergebnisse zeigen die Anwendbarkeit der vorgeschlagenen Softwareansätze und die Ergebnisse einer Untersuchung der psychologischen Einflüsse auf die Mitarbeiter. T2 - Dynamisches, adaptives und mobiles System zur kontextbasierten und intelligenten Unterstützung von Mitarbeitern/Innen in der Schwerindustrie 4.0 KW - DamokleS KW - Augmented Reality KW - Künstliche Intelligenz Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5752 SN - 2199-9937 VL - 2019 EP - 2 ET - 1. Auflage ER - TY - CHAP A1 - Handmann, Uwe A1 - Kalinke, Thomas A1 - Tzomakas, Christos A1 - Werner, Martin A1 - von Seelen, Werner T1 - An image processing system for driver assistance T2 - IEEE International Conference on Intelligent Vehicles '98 Y1 - 1998 UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.4944 U6 - http://dx.doi.org/10.1.1.28.4944 SP - 481 EP - 486 PB - IEEE CY - Stuttgart, Germany ER - TY - CHAP A1 - Pawlowski, Jan M. A1 - Geisler, Stefan A1 - Nurhas, Irawan T1 - Towards humane digitization: a wellbeing-driven process of personas creation T2 - the 5th International ACM In-Cooperation HCI and UX Conference N2 - Digital transformation is a process of digitizing the working and living environment in which people are at the center of digitization. In this paper, we present a personas-based guideline for system developers on how the humanization of digital transformation integrates into the design process. The proposed guideline uses the positive personas from the beginning as a basis for the transformation of the working environment into the digital form. We used the literature research as a preliminary study for the process of wellbeing-driven digital transformation design, consisting of questions for structuring the required information in the positive personas as well as a potential method that could be integrated into the wellbeing-based design process. KW - Personas KW - wellbeing-driven design KW - Positive computing Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5701 SN - 978-1-4503-6187-3 VL - 2019 PB - ACM ICPS ER - TY - CHAP A1 - Nurhas, Irawan A1 - Geisler, Stefan A1 - Pawlowski, Jan M. T1 - Why Should the Q-method Be Integrated Into the Design Science Research? A Systematic Mapping Study N2 - The Q-method has been utilized over time in various areas, including information systems. In this study, we used a systematic mapping to illustrate how the Q-method was applied within Information Systems (IS) community and proposing towards integration of Q-method into the Design Sciences Research (DSR) process as a tool for future research DSR-based IS studies. In this mapping study, we collected peer-reviewed journals from Basket-of-Eight journals and the digital library of the Association for Information Systems (AIS). Then we grouped the publications according to the process of DSR, and different variables for preparing Q-method from IS publications. We found that the potential of the Q-methodology can be used to support each main research stage of DSR processes and can serve as the useful tool to evaluate a system in the IS topic of system analysis and design KW - Q sort KW - DSR KW - Q methodology Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5671 VL - 2019 PB - Association for Information Systems ER - TY - JOUR A1 - Lübbers, Tanja A1 - Nowak, Dominik A1 - Handmann, Uwe T1 - Microcontroller-Einsatz im Unterricht JF - bildung + schule digital Y1 - 2018 UR - http://www.handmann.net/pdf/b%2B-LueNowHan2018.pdf VL - 2018 SP - 40 EP - 41 ER - TY - CHAP A1 - Günther, Liane A1 - Osterhoff, Anke A1 - Thiel, Christian A1 - Sommer, Sascha A1 - Niehoff, Mike A1 - Sharma, Marius A1 - Handmann, Uwe A1 - Koch, Oliver A1 - Grüneberg, Christian T1 - Wirksamkeit eines Smartphone-unterstützten körperlichkognitiven Trainingsprogrammes zur quartiersbezogenen Teilhabeförderung älterer Menschen T2 - Gerontologie und Geriatrie Kongress 2018 (6. bis 8. September 2018, Köln) Y1 - 2018 VL - 2018 ER - TY - CHAP A1 - Aditya, Bayu Rima A1 - Nurhas, Irawan A1 - Pawlowski, Jan M. ED - nurhas, irawan T1 - Towards Successful Implementation of a Virtual Classroom for Vocational Higher Education in Indonesia T2 - The 8th International Workshop on Learning Technology for Education Challenges N2 - The virtual classroom continues to grow, but it is becoming more and more the norm, and it is fundamentally different from the vocational students at the Indonesian university. With the promised benefits of the virtual classroom, many challenges and difficulties come in the implementation. Although there are already successful design principles for virtual classrooms that support organizations in overcoming the challenges, the approach to implementing the design principles of virtual classroom at the vocational higher education in Indonesia is still lacking. In this study, we aim to answer the research gap and used the design sciences research by interviewing the lecturers to design the solutions. The proposed design approaches were implemented in a course and evaluated with students from two different groups. Overall, the evaluation of the proposed approaches shows1 significant results as an indicator of the benefits of the implementation of a virtual classroom for vocational students in Indonesia. KW - Online Learning KW - Design Challenges KW - Design Principles KW - Vocational Education KW - Indonesian Higher Education Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5601 VL - 2019 SP - 151 EP - 161 ER - TY - RPRT A1 - Handmann, Uwe A1 - Klinke, Thomas A1 - Tzomakas, Christos T1 - Videobasierte Hinderniserkennung T2 - Internal report N2 - In diesem Artikel wird ein System vorgestellt, welches eine videobasierte Hinderniserkennung zur automatisierten Bildanalyse von Straßenverkehrsszenen durchführt. Eine Unterteilung der Hinderniserkennung in Objektdetektion, Objektverfolgung und Objektklassifikation lässt eine Extraktion und eine Attributierung von Verkehrsteilnehmern zu. Eine Szeneninterpretation ist ableitbar. Y1 - 1998 UR - http://www.handmann.net/pdf/IRINI-HanEtAl1998c.pdf SN - 0943-2752 VL - 1998 IS - 4 ET - 2. Auflage ER - TY - JOUR A1 - Bumiller, Gerd A1 - Eimler, Sabrina A1 - Geisler, Stefan A1 - Handmann, Uwe A1 - Haselhoff, Anselm A1 - Jansen, Marc A1 - Koch, Oliver A1 - Lei, Zhichun A1 - Müller, Gordon A1 - Ostendorf, Andrea A1 - Pawlowski, Jan M. A1 - Schäfer, Michael T1 - IPCo - Institut Positive Computing JF - Forschung an Fachhochschulen - FÖRDERLINIEN: FH LOMPETENZ & FH STRUKTUR N2 - Positive Computing umfasst Design, Realisierung und Bewertung von Anwendungssystemen und deren Einflüsse mit dem Ziel, Lebensqualität und Wohlbefinden von Menschen zu verbessern und sie bei der Entfaltung ihrer Potenziale zu unterstützen. Das Institut Positive Computing (IPCo) an der Hochschule Ruhr West soll dieses neue Paradigma in einem inter- und transdisziplinären Ansatz erschließen, untersuchen und umsetzen. Das Paradigma ist anwendbar auf nahezu alle Bereiche des privaten und beruflichen Lebens. Die Forschung des IPCo fokussiert zunächst jedoch auf die positive Nutzung von Informations- und Kommunikationstechnologien (IKT) für generationenübergreifende Herausforderungen. Hierzu sollen technologische Lösungen unter kontinuierlicher Einbeziehung menschlicher Bedürfnisse und sozialer Fragestellungen erarbeitet werden. Y1 - 2016 UR - http://www.handmann.net/pdf/NRW-GeiHanEtAl2016.pdf VL - 2016 SP - [6] EP - [6] ER - TY - CHAP A1 - Nurhas, Irawan A1 - de Fries, Thomas A1 - Geisler, Stefan A1 - Pawlowski, Jan M. T1 - Positive Computing as Paradigm to Overcome Barriers to Global Co-authoring of Open Educational Resources T2 - 23rd Conference of Open Innovations Association (FRUCT) N2 - The adoption of Open Educational Resources (OER) can support collaboration and knowledge sharing. One of the main areas of the usage OER is the internationalization, i.e., the use in a global context. However, the globally distributed co-creation of digital materials is still low. Therefore, we identify essential barriers, in particular for co-authoring of OER in global environments. We use a design science research method to introduce a barrier framework for co-authoring OER in global settings and propose a wellbeing-based system design constructed from the barrier framework for OER co-authoring tool. We describe how positive computing concepts can be used to overcome barriers, emphasizing design that promotes the author's sense of competence, relatedness, and autonomy. Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5631 SN - 978-9-5268-6536-2 SN - 2305-7254 SP - 283 EP - 292 PB - IEEE CY - Bologna ER - TY - JOUR A1 - Geisler, Stefan A1 - Bumiller, Gerd A1 - Eimler, Sabrina A1 - Handmann, Uwe A1 - Haselhoff, Anselm A1 - Jansen, Marc A1 - Koch, Oliver A1 - Müller, Gordon A1 - Ostendorf, Andrea A1 - Pawlowski, Jan M. A1 - Schäfer, Michael A1 - Lei, Zhichun T1 - Technologie die beflügelt JF - Digitalisierung & Gesellschaft Y1 - 2016 UR - http://www.handmann.net/pdf/IA-GeiHanEtAl2016a.pdf SP - 32 EP - 33 ER - TY - JOUR A1 - Fey, Jens A1 - Schlaghecke, Sven A1 - Vöing, Patrick A1 - Malysiak, Darius A1 - Handmann, Uwe T1 - CameraFramework - Socket-Kommunikation als Middleware zwischen verschiedenen Kamerainstanzen mit eigenen Kameratreibern und Clienten JF - Internal Report N2 - Das CameraFramework wurde entwickelt, um mittels Socket-Kommunikation [1] als Middleware zwischen verschiedenen Kamerainstanzen mit eigenen Kameratreibern und Clienten zu fungieren. Über diesen Kommunikationsweg ist es möglich Clienten nicht nur lokal, sondern auch über das Netzwerk mit Kameradaten zu versorgen. Um neue Kameras mit dem Framework nutzen zu können, muss die Implementierung gewissen Regeln folgen, was durch ein vorgegebenes Basis-Interface (abstrakte Basis-Klasse in C++ [2]) fast vollständig sichergestellt ist. Neue Kameras werden zur Laufzeit über dynamische Bibliotheken geladen. Parameter für Kameras sind über ein XML-File [3] einzustellen. Funktionen zur Übergabe von neuen Kameradaten sind implementiert und müssen durch den Entwickler der einzelnen Kamerainterfaces aufgerufen werden. Die Zuordnung von Kameradaten zum passenden Nutzer übernimmt das Framework. Jeder Clienterhält seinen eigenen konfigurierbaren Ringbuffer [4] um unabhängig von anderen Nutzern und Kameras zu sein. Die Aufgaben des Frameworks sind auf verschiedene Module, wie in Abbildung 1 dargestellt, aufgeteilt. Y1 - 2017 UR - https://epflicht.ulb.uni-muenster.de/content/titleinfo/504766 UR - http://www.handmann.net/pdf/IR-FeyHanEtAl2017.pdf SN - 2197-6953 VL - 2017 IS - 1 ER - TY - JOUR A1 - Chateau, Noël A1 - Regal, Xavier A1 - Bodden, Marcus A1 - Handmann, Uwe T1 - The effect of noise on directional bands JF - ACUSTICA - acta acustica N2 - In a recent study on the effect of disturbring noiseon the localization of pure tones in the median plane, an attraction of tones toward the actual position of noises was discovered. The experiments reported here are part of a general study on this attraction effect. KW - Psychoacoustics Y1 - 1996 UR - http://www.handmann.net/pdf/ACTA-ChaHanEtAl1995.pdf SN - 0001-7884 VL - 1996 IS - vol. 82/1 SP - 210 EP - 210 ER - TY - JOUR A1 - Tatarek, Thorsten A1 - Kronenberger, Jan A1 - Handmann, Uwe T1 - Functionality, Advantages and Limits of the Tesla Autopilot N2 - Autonomous driving is one of the future visions in which many vehicle manufacturers are working with high pressure. Nowadays, it is already supported partially by high-class vehicles. A completely autonomous journey is indeed the goal, but in cars for the public road traffic still not available. Automatic lane keeping assistants, speed regulators as well as shield and obstacle detections are parts or precursors on the way to completely autonomous driving. The American vehicle manufacturer Tesla is not only known for its electric drive, but also for the fact that high-pressure work is carried out on the autonomous drive. Tesla is thus the only vehicle manufacturer to use its users as so-called beta testers for its assistance systems. The progress and the function of the currently available Model S in the field of assistance systems and autonomic driving is documented and described in this paper. It is shown how good or bad the test vehicle manages scenarios in normal road traffic situations with the assistance systems, e.g. lane keeping assistant, speed control, lane change and distance assistant, and which scenarios can not be managed by the vehicle itself. Y1 - 2017 UR - https://epflicht.ulb.uni-muenster.de/content/titleinfo/504769 SN - 2197-6953 IS - internal report 17-04 ER - TY - RPRT A1 - von Seelen, Werner A1 - Gillner, Walter A1 - Goerick, Christian A1 - Handmann, Uwe A1 - Kalinke, Thomas A1 - Kastrup, David A1 - Leefken, Iris A1 - Lorenz, Gesa A1 - Noll, Detlev A1 - Tzomakas, Christos A1 - Völpel, Bernd A1 - Werner, Martin A1 - Winkel, Carsten T1 - Technische Bildverarbeitung dynamischer Szenen T2 - Internal Report N2 - Systeme zur automatisierten Bildanalyse sind vielfältig einsetzbar und gewinnen aufgrund technologischer Weiterentwicklungen und gesellschaftlicher Akzeptanz zunehmend an Bedeutung. Schwerpunkt im Bereich der "Technischen Bildverarbeitung dynamischer Szenen" ist die Entwicklung von Methoden, die bei der Interpretation von Bildern aus verschiedenen Sensordaten Verwendung finden. Dies sind neben den herkömmlichen Kamerabildern im wesentlichen Röntgen- und Radarbilder. Unter geeigneter Berücksichtigung der durch die jeweiligen Anwendungen vorgegebenen Randbedingungen werden daraus entsprechende Verfahren abgeleitet. Derzeitige Projekte beschäftigen sich mit der Analyse von Straßenverkehrsszenen, der Detektion von Sprengstoffzündern bei der Durchleuchtung von Fluggepäck, sowie mit der Bestimmung von Art und Ausdehnung von Ölverschmutzungen bei der Meeresüberwachung. Y1 - 1997 UR - http://www.handmann.net/pdf/IRINI-HanEtAl997a.pdf SN - 0943-2752 VL - 1997 IS - 13 ER - TY - CHAP A1 - Nurhas, Irawan A1 - Aditya, Bayu Rima A1 - Geisler, Stefan A1 - Ojala, Arto A1 - Pawlowski, Jan M. T1 - We are “not” too (young/old) to collaborate: Prominent Key Barriers to Intergenerational Innovation T2 - Proceedings of the 23rd Pacific Asia Conference on Information Systems. Barriers to Intergenerational Innovation in Global Context N2 - In this study, we analyzed the barriers to technology-supported intergenerational innovation to understand better how young and old can collaborate towards global innovations. Researchers in different disciplines have already identified various barriers to intergenerational collaboration. However, barriers are changing depending on the context of collaboration, and difficulties still exist to support intergenerational innovation in global settings. Therefore, we investigated the barriers that emerge when people work with someone decades older or younger. The results of our study have shown what barriers are influenced by age, what barriers exist only for senior and younger adults. The study theoretically contributes to deepening the Information Systems (IS) community's understanding of the barriers to intergenerational innovation that need to be considered when developing systems for global innovation Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5611 UR - https://jyx.jyu.fi/bitstream/handle/123456789/64963/pacis2019igoalbarrierscamerareadysubmittedversion%20004.pdf?sequence=1&isAllowed=y UR - http://www.pacis2019.org/wd/Submissions/PACIS2019_paper_399.pdf UR - https://www.researchgate.net/publication/334251283_We_are_not_too_youngold_to_collaborate_Prominent_Key_Barriers_to_Intergenerational_Innovation ER - TY - RPRT A1 - von Seelen, Werner A1 - Gillner, Walter A1 - Goerick, Christian A1 - Handmann, Uwe A1 - Kalinke, Thomas A1 - Kastrup, David A1 - Leefken, Iris A1 - Lorenz, Gesa A1 - Noll, Detlev A1 - Tzomakas, Christos A1 - Völpel, Bernd A1 - Werner, Martin A1 - Winkel, Carsten T1 - Image Processing of dynamic scenes T2 - Internal report N2 - Systems for automated image analysis are useful for a variety of tasks and their importance is still increasing due to technological advances and an increase of social acceptance. The main focus of "Technical Image Processing of Dynamic Scenes" lies with the development of methods for the interpretation of images derived from various sensors. Apart from conventional visual images, this involves mainly X-ray and radar images. Taking into account the requirements of the various applications, suitable methods are derived. Current projects are dealing with the analysis of traffic scenes, detection of detonators when X-raying luggage and determination of type and expansion of oil pollution in maritime surveillance. T2 - Technische Bildverarbeitung dynamischer Szenen Y1 - 1997 UR - http://www.handmann.net/pdf/IRINI-HanEtAl997.pdf SN - 0943-2752 VL - 1997 IS - 14 ER - TY - JOUR A1 - Grüneberg, Christian A1 - Sommer, Sascha A1 - Thiel, Christian A1 - Handmann, Uwe A1 - Koch, Oliver T1 - Aktiv im Alter BT - Digitales Trainingsprogramm für ältere Menschen im Quartier JF - Gesellschaft & Digitalisierung N2 - Die Prognosen für den demografischen Wandel sind eindeutig: In den kommenden Jahren wird es immer mehr Menschen über 65 Jahre geben. Damit verbunden sind große Herausforderungen für die Gesellschaft und ihre Sozialsysteme, aber auch für viele Angehörige, die ihre Verwandten im Alter pflegen. Doch nicht alle älteren Menschen leben im Kreise ihrer Familie oder können sich Fremdbetreuung durch Pflegedienste leisten. Häufig übernehmen Nachbarn oder Freunde aus der Umgebung diese Aufgabe. Für diese Menschen wird das Wohnquartier zum zentralen Gesundheitsstandort. Im besten Fall können sie dort ihren Alltag noch lange selbstständig bewältigen und ihre sozialen Kontakte aufrechterhalten. Das soll bald eine App unterstützen. Sie ist Teil eines Trainingsprogramms, das die Hochschule für Gesundheit (hsg) im Verbund mit der Hochschule Ruhr West erarbeitet. Der Name des Projekts ist Programm: „Quartier agil – Aktiv vor Ort“. Mit Übungen zum kognitiven und körperlichen Training, Angeboten für Gruppenaktivitäten, Kommunikationsforen und Funktionen zur Selbstkontrolle wollen die Forscherinnen und Forscher ältere Menschen fit halten. Y1 - 2016 UR - www.handmann.net/pdf/IA-GruHanEtAl2016a.pdf SP - 14 EP - 15 ER - TY - RPRT A1 - Handmann, Uwe T1 - Fusion textur- und konturbasierter Methoden zur Segmentierung T2 - Technical report N2 - In der vorliegenden Arbeit wird ein Verfahren vorgestellt, welches textur- und konturbasierte Verfahren zur Segmentierung fusioniert. Als Kopplungsmatrix wird eine selbstorganisierte Karte nach Kohonen verwendet. Eine verbesserte Objekt- zu Hintergrundtrennung im Vergleich zu Einzelalgorithmen wird demonstriert. Y1 - 1997 UR - http://www.handmann.net/pdf/TechReport-Hanl997.pdf UR - https://www.researchgate.net/publication/265112355_Fusion_textur-und_konturbasierter_Methoden_zur_Segmentierung VL - 1997 ER - TY - RPRT A1 - Schnitger, Thomas A1 - Handmann, Uwe T1 - Fusion von Bildnalyseverfahren mittels einer neuronalen Kopplungsstruktur T2 - Internal Report N2 - Für das sichere Führen von Fahrzeugen im Straßenverkehr ist ein hohes Maß an Informationsverarbeitung notwendig, um aus den zur Verfügung stehenden Informationen, Handlungen für die Fahrzeugsteuerung abzuleiten. Der Mensch löst diese Aufgabe hauptsächlich auf der Basis visueller Informationen. Durch die Arbeitsweise des menschlichen Gehirns motiviert, wird am Institut für Neuroinformatik der Ruhr-Universität Bochum an einer Fahrzeugführung mittels Computer Vision gearbeitet. Fortlaufend oder zumindest in kurzen Abständen müssen hierbei Verkehrsteilnehmer aus den visuellen Informationen extrahiert und danach weiter attributiert werden. Wichtige Eigenschaften sind hierbei: Objektklasse (PKW, LKW, Fußgänger etc.), Abstand, Geschwindigkeit, Bewegungsrichtung und das Gefahrenpotential bezüglich der eigenen Ortsveränderung. Die Vielzahl der durch die Umwelt aufgestellten Randbedingungen und das aus der Aufgabenstellung implizierte hohe Maß an Sicherheit bedingen ein robustes und flexibles Gesamtsystem. Dieses Gesamtsystem besteht zum einen aus Basis-Algorithmen zur Vorverarbeitung der Eingabedaten und Extraktion von Bildmerkmalen und zum anderen aus darauf aufbauenden Verfahren zur Segmentierung, Klassifizierung und Verfolgung von Fahrzeugen. Y1 - 1998 UR - http://www.handmann.net/pdf/IRINI-SchHan1998.pdf SN - 0943-2752 VL - 1998 IS - 1 ER - TY - RPRT A1 - Malysiak, Darius A1 - Lausberg, Angela A1 - Handmann, Uwe T1 - Technical Report BT - SimpleHydra - framework for classical small to mid-scale computation clusters N2 - This internal report discusses the theoretical and practical aspects of the cluster management framework SimpleHydra, which was developed in order to allow researchers the quick setup of classical small to mid-scale computation clusters while being as lightweight and platform independent as possible. We motivate crucial design choices with a theoretical analysis in the aspect of time and space complexity, furthermore we give a comprehensive introduction regarding the frameworks usage (which includes examples and detailed description of fundamental concepts as well as data structures). In addition to that we illustrate application scenarios with complete source code examples. Furthermore we hope that this document proves valuable not only as a development report but also as a practical manual for SimpleHydra. Y1 - 2016 UR - https://www.researchgate.net/publication/302593256_SimpleHydra UR - http://www.handmann.net/pdf/IR-MalHan2016.pdf U6 - http://dx.doi.org/10.13140/RG.2.1.2096.2161 VL - 2016 ER - TY - CHAP A1 - Kopinski, Thomas A1 - Gepperth, Alexander A1 - Handmann, Uwe A1 - Geisler, Stefan T1 - Neural Network Based Data Fusion for Hand Pose Recognition with Multiple ToF Sensors T2 - Artificial Neural Networks and Machine Learning – ICANN 2014 N2 - We present a study on 3D based hand pose recognition using a new generation of low-cost time-of-flight(ToF) sensors intended for outdoor use in automotive human-machine interaction. As signal quality is impaired compared to Kinect-type sensors, we study several ways to improve performance when a large number of gesture classes is involved. We investigate the performance of different 3D descriptors, as well as the fusion of two ToF sensor streams. By basing a data fusion strategy on the fact that multilayer perceptrons can produce normalized confidences individually for each class, and similarly by designing information-theoretic online measures for assessing confidences of decisions, we show that appropriately chosen fusion strategies can improve overall performance to a very satisfactory level. Real-time capability is retained as the used 3D descriptors, the fusion strategy as well as the online confidence measures are computationally efficient. Y1 - 2014 UR - http://www.handmann.net/pdf/ICANN-KopHanEtAl2014.pdf UR - https://link.springer.com/chapter/10.1007/978-3-319-11179-7_30 UR - https://hal.inria.fr/hal-01098697/document SN - 978-3-319-11179-7 U6 - http://dx.doi.org/10.1007/978-3-319-11179-7_30 IS - vol 8681 SP - 233 EP - 240 PB - Springer ER - TY - JOUR A1 - Meunier, Sabine A1 - Canevet, Georges A1 - Bodden, Marcus A1 - Grabke, Jörn W. A1 - Handmann, Uwe T1 - Auditory adaptation and localization: Effect of frequency and bandwidth JF - ACUSTICA-acta acustica Y1 - 1996 SN - 1610-1928 IS - 82(1) SP - 215 EP - 215 ER - TY - CHAP A1 - von Seelen, Werner A1 - Handmann, Uwe T1 - Multimodaler Sensor zur Fahrzeugführung: Teilprojekt: Architektur, Rundumsicht und Objekterkennung T2 - Projekt: Elektronisches Auge OPEL Y1 - 1997 PB - Bundesministerium für Bildung und Forschung (BMBF) CY - Hannover, Germany ER - TY - CHAP A1 - Handmann, Uwe A1 - Leefken, Iris A1 - Tzomakas, Christos A1 - von Seelen, Werner A1 - Goerick, Christian T1 - Analyse dynamischer Szenen T2 - Photogrammetrie und Fernerkundung Neue Sensoren, neue Anwendungen N2 - In diesem Artikel wird die Analyse dynamischer Szenen im Rahmen einer flexiblen Architektur zur Lösung von Fahrerassistenzaufgaben in Kraftfahrzeugen vorgestellt. Die Lösung unterschiedlicher Aufgaben mit verwandten Ansätzen bedingt einen hohen Grad an Modularität und Flexibilität. Nur so können die gestellten Aufgaben mit den vorhandenen Algorithmen optimal gelöst werden. In der vorgestellten Architektur wird eine objektbezogene Analyse von Sensordaten, eine verhaltensbasierte Szeneninterpretation und eine Verhaltensplanung durchgeführt. Eine globale Wissensbasis, auf der jedes einzelne Modul arbeitet, beinhaltet die Beschreibung physikalischer Zusammenhänge, Verhaltensregeln für den Straßenverkehr, sowie Objekt- und Szenenwissen. Externes Wissen (z.B. GPS – Global Positioning System) kann ebenfalls in die Wissensbasis eingebunden werden. Als Anwendungsbeispiel der Verhaltensplanung ist ein intelligenter Tempomat realisiert. Y1 - 1999 UR - http://www.handmann.net/pdf/DGPF-HanEtAl1999.pdf SN - 0942-2870 SP - 227 EP - 234 ER - TY - RPRT A1 - Dose, Michael A1 - Handmann, Uwe T1 - Mensch-Maschine-Interaktion auf Grundlage der Gesichtsdetektion T2 - Man-machine interaction based on face detection Y1 - 2003 UR - https://www.tib.eu/de/suchen/download/?tx_tibsearch_search%5Bdocid%5D=TIBKAT%3A39020322X&cHash=1be00a094c2cd2ff05d464aeac98a935#download-mark U6 - http://dx.doi.org/10.2314/GBV:39020322X VL - 2003 ER - TY - JOUR A1 - Wiegand, Stefan A1 - Igel, Christian A1 - Handmann, Uwe T1 - Evolutionary multi-objective optimization of neural networks for face detection JF - International Journal of Computational Intelligence and Applications N2 - For face recognition from video streams speed and accuracy are vital aspects. The first decision whether a preprocessed image region represents a human face or not is often made by a feed-forward neural network (NN), e.g. in the Viisage-FaceFINDER® video surveillance system. We describe the optimisation of such a NN by a hybrid algorithm combining evolutionary multi-objective optimisation (EMO) and gradient-based learning. The evolved solutions perform considerably faster than an expert-designed architecture without loss of accuracy. We compare an EMO and a single objective approach, both with online search strategy adaptation. It turns out that EMO is preferable to the single objective approach in several respects. Y1 - 2004 UR - http://www.worldscientific.com/doi/abs/10. 1142/S1469026804001288 U6 - http://dx.doi.org/10.1142/S1469026804001288 VL - 2004 IS - 4(3) SP - 237 EP - 253 ER - TY - RPRT A1 - Grimm, Matthias A1 - Lübbers, Tanja A1 - Handmann, Uwe T1 - Dokumentation APFel-Demonstrator T2 - Internal report Y1 - 2017 UR - https://epflicht.ulb.uni-muenster.de/content/titleinfo/504767 UR - http://www.handmann.net/pdf/IR-GriHanEtAl2017.pdf SN - 2197-6953 VL - 2017 IS - 2 ET - 1. Auflage ER - TY - JOUR A1 - Fey, Jens A1 - Nieß, Christoph A1 - Schwahlen, Daniel A1 - Reimann, Martin A1 - Handmann, Uwe T1 - kEFIR : Entwicklung eines (teil-)automatisierten Erfassungs- und Auswertemoduls zur Identifikation von Fehlern in Innenstruktur der Rotorblätter von Windkraftanlagen JF - Internal report N2 - Das kEFIR‐Projekt untersucht die praktische Anwendung von thermographischen Verfahren zur Analyse der strukturellen Integrität von Windkraftrotorblättern. Das Projekt entstand in Zusammenarbeit der Hochschule Ruhr West (HRW) mit der IQbis Consulting GmbH im Rahmen eines ZIM‐Förderprojekts des Bundesministeriums für Wirtschaft und Energie (BMWi). Hintergrund ist die zunehmende Anzahl von Windkraftanlagen (WKA) und der somit steigende Wartungsaufwand. Um einen reibungslosen Betrieb dieser Anlagen zu gewährleisten und damit den besonderen Anforderungen an die Verfügbarkeit energieerzeugender Anlagen sicherzustellen, ist ein Bedarf an qualitativ hochwertigen Fehleranalysesystemen für im Betrieb befindlicher WKA von besonderer Bedeutung. Erfahrungsgemäß ist der Zeitaufwand für diese Inspektionen mit aktuellen Mitteln sehr groß und wird üblicherweise mit mehreren Arbeitstagen kalkuliert. Die Reproduzierbarkeit der gewonnenen Daten ist bei den derzeitigen Methoden meist nicht gewährleistet. Um frühzeitig auf Instabilitäten oder Schäden in den Rotorblättern einer WKA aufmerksam zu werden, ist die Entwicklung eines schnellen und qualitativ hoch wertigen Fehleranalysesystems von zentraler Bedeutung. Ein Forschungsschwerpunkt in diesem Zusammenhang ist die Entwicklung von geeigneten bildgebenden und berührungslosen Verfahren, welche bei den Inspektionen eingesetzt werden können. Beispielsweise erlaubt der Einsatz thermographischer Sensoren eine Analyse nicht nur der Rotorblattoberfläche, sondern auch ihrer inneren Struktur. Weiterhin ist aufgrund des schnell wachsenden Marktes bei unbemannten Luftfahrzeugen, wie beispielsweise positionsstabiler Quatrocoptersysteme, eine zusätzliche Möglichkeit gegeben, die Inspektion von Windenergieanlagen mit Hilfe mobiler, kompakter und fliegender Analysesysteme zu unterstützen. Y1 - 2017 UR - https://epflicht.ulb.uni-muenster.de/content/titleinfo/504768 UR - http://www.handmann.net/pdf/IR-FeyHanEtAl2017b.pdf SN - 2197-6953 VL - 2017 IS - 3 ET - 1. Auflage ER - TY - JOUR A1 - Nieß, Christoph A1 - Schwahlen, Daniel A1 - Reimann, Martin A1 - Handmann, Uwe A1 - Thelen, Volker A1 - Maldaner, Peter A1 - Frey, Jens T1 - kEFIR - Entwicklung eines (teil-)automatisierten Erfassungs- und Auswertemoduls zur Identifikation von Fehlern in Innenstruktur der Rotorblätter von Windkraftanlagen. JF - Internal report N2 - Das kEFIR‐Projekt untersucht die praktische Anwendung von thermographischen Verfahren zur Analyse der strukturellen Integrität von Windkraftrotorblättern. Das Projekt entstand in Zusammenarbeit der Hochschule Ruhr West (HRW) mit der IQbis Consulting GmbH im Rahmen eines ZIM‐Förderprojekts des Bundesministeriums für Wirtschaft und Energie (BMWi). Hintergrund ist die zunehmende Anzahl von Windkraftanlagen (WKA) und der somit steigende Wartungsaufwand. Um einen reibungslosen Betrieb dieser Anlagen zu gewährleisten, und damit den besonderen Anforderungen an die Verfügbarkeit energieerzeugender Anlagen sicherzustellen, ist ein Bedarf an qualitativ hochwertigen Fehleranalysesystemen für im Betrieb befindlicher WKA von besonderer Bedeutung. Erfahrungsgemäß ist der Zeitaufwand für diese Inspektionen mit aktuellen Mitteln sehr groß und wird üblicherweise mit mehreren Arbeitstagen kalkuliert. Die Reproduzierbarkeit der gewonnenen Daten ist bei den derzeitigen Methoden meist nicht gewährleistet. Um frühzeitig auf Instabilitäten oder Schäden in den Rotorblättern einer WKA aufmerksam zu werden, ist die Entwicklung eines schnellen und qualitativ hochwertigen Fehleranalysesystems von zentraler Bedeutung. Ein Forschungsschwerpunkt in diesem Zusammenhang ist die Entwicklung von geeigneten bildgebenden und berührungslosen Verfahren, welche bei den Inspektionen eingesetzt werden können. Beispielsweise erlaubt der Einsatz thermographischer Sensoren eine Analyse nicht nur der Rotorblattoberfläche, sondern auch ihrer inneren Struktur. Weiterhin ist aufgrund des schnell wachsenden Marktes bei unbemannten Luftfahrzeugen, wie beispielsweise positionsstabiler Quatrocoptersysteme, eine zusätzliche Möglichkeit gegeben, die Inspektion von Windenergieanlagen mit Hilfe mobiler, kompakter und fliegender Analysesysteme zu unterstützen. Y1 - 2018 UR - https://epflicht.ulb.uni-muenster.de/content/titleinfo/504770 UR - http://www.handmann.net/pdf/IR-SchHanEtAl2018.pdf SN - 2197-6953 VL - 2018 IS - 1 SP - 1 EP - 58 ET - 2. Auflage ER - TY - JOUR A1 - Handmann, Uwe A1 - Bodden, Marcus T1 - Psychoakstische Untersuchungen an Fahrzeuginnengeräuschen JF - Fortschritte der Akustik : Daga N2 - Es ist eine alltägliche Erfahrung, daß wir Urteile über gut oder schlecht, bzw. qualitativ hochwertig oder minderwertig eines Gegenstandes mit der Wahrnehmung des emittierten Geräuschschalls in Verbindung bringen. Der Geräuschlaut ist deshalb ein wichtiges Entscheidungskriterium bei der Aus­wahl eines Produktes, welches wahrnehmbaren Schall erzeugt. Die Fragestellung hinsichtlich der Geräuschqualität und des Geräuschdesigns stellt daher hohe Anforderungen an den Akustik-Ingenieur. Zum heutigen Zeitpunkt ist es jedoch nicht möglich, mit einer instrumentellen Meßtechnik Aussagen über die Eignung eines Geräuschschalls für ein Produkt zu machen. Es ist nicht möglich, kognitive Faktoren über eine instrumentelle Meßtechnik zu messen. Es reicht nicht aus, eine Geräuschgüte mit Bewertungsschemata wie dem A-bewerteten Schalldruckpegel oder Lautheitsmodellen zu defi­nieren. Diese lassen allein keine eindeutigen Aussagen über die Wahrnehmung von Geräuschen zu. Der vorliegende Beitrag ist als Ansatz für das Soundengineering von Fahrzeuginnengeräuschen zu sehen. Es wird anhand von Hörversuchen mit Fahrzeuginnengeräuschen ein objektiver Beschreibungskatalog ermittelt, der eine Aussage über die jeweilige Hörempfindung zuläßt. Y1 - 1995 UR - http://www.handmann.net/pdf/DAGA-HanBod1995.pdf VL - 1995 IS - DAGA 95 SP - 879 EP - 882 ER - TY - CHAP A1 - Kopinski, Thomas A1 - Geisler, Stefan A1 - Handmann, Uwe T1 - Contactless interaction for automotive applications T2 - 2. Workshop Automotive HMI; Mensch & Computer 2013 - Workshopband Y1 - 2013 SP - 87 EP - 94 PB - Oldenbourg Verlag CY - Bremen, Germany ER - TY - CHAP A1 - Handmann, Uwe A1 - Kalinke, Thomas T1 - Fusion of texture and contour based methods for object recognition T2 - IEEE Conference on Intelligent Transportation Systems N2 - We propose a new approach to object detection based on data fusion of texture and edge information. A self organizing Kohonen map is used as the coupling element of the different representations. Therefore, an extension of the proposed architecture incorporating other features, even features not derived from vision modules, is straight forward. It simplifies to a redefinition of the local feature vectors and a retraining of the network structure. The resulting hypotheses of object locations generated by the detection process are finally inspected by a neural network classifier based on co-occurence matrices. Y1 - 1997 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5231 UR - https://ieeexplore.ieee.org/document/660589/authors#authors SP - 876 EP - 881 CY - Boston, USA ER - TY - CHAP A1 - Handmann, Uwe A1 - Kalinke, Thomas A1 - Tzomakas, Christos A1 - Werner, Martin A1 - von Seelen, Werner T1 - Computer vision for driver assistance systems T2 - Proceedings of SPIE Vol. 3364, Session Enhanced and Synthetic Vision N2 - Systems for automated image analysis are useful for a variety of tasks and their importance is still increasing due to technological advances and an increase of social acceptance. Especially in the field of driver assistance systems the progress in science has reached a level of high performance. Fully or partly autonomously guided vehicles, particularly for road-based traffic, pose high demands on the development of reliable algorithms due to the conditions imposed by natural environments. At the Institut fur Neuroinformatik, methods for analyzing driving relevant scenes by computer vision are developed in cooperation with several partners from the automobile industry. We introduce a system which extracts the important information from an image taken by a CCD camera installed at the rear view mirror in a car. The approach consists of a sequential and a parallel sensor and information processing. Three main tasks namely the initial segmentation (object detection), the object tracking and the object classification are realized by integration in the sequential branch and by fusion in the parallel branch. The main gain of this approach is given by the integrative coupling of different algorithms providing partly redundant information. Y1 - 1998 UR - https://www.spiedigitallibrary.org/conference-proceedings-of-spie/3364/1/Computer-vision-for-driver-assistance-systems/10.1117/12.317463.short?SSO=1 SP - 136 EP - 147 CY - Orlanda, USA ER - TY - CHAP A1 - Wertheimer, R. A1 - Handmann, Uwe A1 - Kalinke, Thomas A1 - Tzomakas, Christos A1 - Werner, Martin A1 - von Seelen, Werner A1 - Baur, M. A1 - Schumm, T. A1 - Schanz, M. A1 - Eckart, T. A1 - Nitta, C. A1 - Hosticka, B.J. A1 - Wagner, R. A1 - Liu, F. A1 - Donner, K. A1 - Haas, J. A1 - Ehrmann, O. A1 - Buschick, K. A1 - Chmiel, G. A1 - Paredes, A. A1 - Glaw, V. A1 - Reich, H. T1 - Ein hochsprachenprogrammierbares System zur Vollbildauswertung im Videotakt; Anwendungen zur Interpretation monokularer, semi-strukturierter Bildfolgen bei natürlicher Beleuchtung und schnell bewegter Kamera T2 - Mustererkennung 1998 N2 - Im vorliegenden Beitrag wird ein hochsprachenprogrammierbares System zur schritthaltenden Vollbild-Interpretation natürlich beleuchteter Szenenfolgen im Videotakt vorgestellt. Im einzelnen werden folgende Teilmodule und Subsysteme beschrieben: eine hochdynamische, pixellokal autoadaptive CMOS-Kamera mit ca. 120 dB Helligkeitsdynamik (20Bits/Pixel) ein hochsprachenprogrammierbarer Systolic Array Prozessor (für die pixelbezogenen Verarbeitungsmodule) im PCI-Kartenformat, samt optimierendem Compiler, Simulator und Emulator Systemprozeßgerüste unter Linux auf den für die Echtzeit-Anwendungen eingesetzten Hostrechnern (z.B. DEC/Alpha oder Intel/ Pentium)eine prototypische Anwendung zur bildverarbeitungsbasierten Eigenbewegungsbeobachtung (Translationsrichtung, Eotationsraten)eine prototypische, automotive Anwendung zur schritthalt enden Detektion und Kartierung des Straßen- und Spurverlaufs unter partieller monokularer 3D-Rekonstruktion, sowie prototypische Anwendungen zur Klassifikation verkehrsrelevanter Hindernisse (Verkehrsteilnehmer) Y1 - 1998 UR - https://link.springer.com/chapter/10.1007/978-3-642-72282-0_4 UR - http://www.handmann.net/pdf/DAGM-WerHan1998.pdf U6 - http://dx.doi.org/10.1007/978-3-642-72282-0_4 SP - 37 EP - 65 PB - Springer Verlag CY - Berlin ER - TY - JOUR A1 - Tatarek, Thorsten A1 - Lingenauber, Niklas A1 - Thomas, Jan A1 - Kronenberger, Jan A1 - Handmann, Uwe T1 - Autonomes Fahren in Baustellen am Beispiel zweier moderner Fahrzeuge JF - Internal report N2 - Das vorliegende Paper gibt einen Überblick über das Verhalten von modernen, autonom navigierenden Fahrzeugen in Baustellen. Dabei werden besondere Herausforderungen für die autonome Navigation im Baustellenbereich benannt. Außerdem wird ein Überblick über die Sensorausstattung und die Fahrerassistenzsysteme von modernen Fahrzeugen gegeben und es werden Technologien vorgestellt, die für eine Verbesserung der autonomen Navigation durch Baustellen genutzt werden können. Es wird ein Versuch durchgeführt, der aufzeigt, wie zuverlässig moderne Fahrzeuge durch Baustellensituationen navigieren können. Dabei werden Schwachstellen, wie bspw. die mangelnde Verfügbarkeit von Fahrerassistenzsystemen bei niedrigen Geschwindigkeiten, aufgedeckt. Y1 - 2019 UR - http://www.handmann.net/pdf/IR-TatHanEtAl2019.pdf SN - 2197-6953 VL - 2019 IS - 1 SP - 1 EP - 11 PB - Hochschule Ruhr West CY - Bottrop ER - TY - CHAP A1 - Handmann, Uwe A1 - Lorenz, Gesa A1 - von Seelen, Werner T1 - Fusion von Basisalgorithmen zur Segmentierung von Straßenverkehrsszenen T2 - Mustererkennung 1998 N2 - Derzeitige Projekte am Institut für Neuroinformatik in Bochum beschäftigen sich mit der Analyse von Straßenverkehrsszenen mittels Computer Vision [12]. Dies impliziert, wegen der durch die natürliche Umwelt aufgestellten Randbedingungen, hohe Anforderungen an die zu entwickelnden Algorithmen. Im speziellen wird versucht, Verkehrsteilnehmer aus Videobildern zu extrahieren und die so gewonnenen Objekthypothesen weiter zu attributieren (z.B. Objektklasse, Abstand, Geschwindigkeit, Gefahrenpotential hinsichtlich der beabsichtigten Eigentrajektorie etc.), um im Hinblick auf den Einsatz in Assistenzsystemen in Fahrzeugen eine möglichst genaue Beschreibung der Umwelt zu erreichen. Nicht nur die große Vielfalt der unterschiedlichen Umweltszenarien, sondern auch das hohe Maß an Sicherheit, das die gestellte Aufgabe erfordert, bedingen ein breitbandiges und flexibles Gesamtsystem [6]. Ein Lösungsvorschlag wird im folgenden behandelt. Y1 - 1998 UR - https://link.springer.com/chapter/10.1007%2F978-3-642-72282-0_9 UR - http://www.handmann.net/pdf/DAGM-HanEtAl1998b.pdf VL - 1998 SP - 101 EP - 108 PB - Springer Verlag CY - Berlin ER - TY - CHAP A1 - Handmann, Uwe A1 - Leefken, Iris A1 - Georick, Christian T1 - Analysis of dynamic scenes T2 - International Archives of Photogrammetry and Remote Sensing (IAPRS) - XIXth Congress of the International Society of Photogrammetry and Remote Sensing (ISPRS) N2 - In this paper the proposed architecture for a dynamic scene analysis is illustrated by a driver assistance system. To reduce the number of traffic accidents and to increase the drivers comfort, the thought of designing driver assistance systems rose in the past years. Principal problems are caused by having a moving observer (ego motion) in predominantly natural surroundings. In this paper we present a solution for a flexible architecture for a driver assistance system. The architecture can be subdivided into four different parts: the object-related analysis, the knowledge base, the behavior-based scene interpretation, and the behavior planning unit. The object-related analysis is fed with data by the sensors (vision, radar). The sensor data are preprocessed (flexible sensor fusion) and evaluated (saliency map) searching for object-related information (positions, types of objects, etc.). The knowledge base is represented by static and dynamic knowledge. It consists of a set of rules (traffic rules, physical laws), additional information (GPS, lane-information) and it is implicitly used by algorithms in the system. The scene interpretation combines the information extracted by the object-related analysis and inspects the information for contradictions. It is strongly connected to the behavior planning using only information needed for the actual task. In the scene interpretation consistent representations (i.e., bird’s eye view) are organized and interpreted as well as a scene analysis is performed. The results of the scene interpretation are used for decision making in behavior planning, which is controlled by the actual task. Y1 - 2000 UR - http://www.handmann.net/pdf/IAPRS-HanLeeGoe2000.pdf UR - https://www.isprs.org/proceedings/XXXIII/congress/part5/347_XXXIII-part5.pdf SN - 1682-1750 VL - 2000 IS - volume XXXIII, part B5/1 SP - 347 EP - 354 PB - ISPRS ER - TY - CHAP A1 - Grimm, Matthias A1 - Hommel, Sebastian A1 - Handmann, Uwe A1 - Voges, Veit A1 - Weigmann, Uwe T1 - Intelligent support of video surveillance at airports (poster) T2 - Berlin Air Show (ILA 2014); Conference: Security and Service in Commercial Aviation - Contradiction or Synergy? Y1 - 2014 UR - http://www.handmann.net/pdf/ILA-GriHomHanEtAl2014.pdf VL - 2014 ER - TY - CHAP A1 - Kopinski, Thomas A1 - Geisler, Stefan A1 - Handmann, Uwe T1 - Demonstrator für ein handgestenbasiertes Interaktionskonzept T2 - 3. Workshop Automotive HMI; Mensch & Computer 2014 - Workshopband N2 - Handgesten im Automobil haben das Potenzial einer Kombination von gut sichtbaren Displays nahe der Windschutzscheibe und einer als intuitiv empfundenen Gestensteuerung, wie sie berührungsgesteuert von Smartphones aber auch berührungslos von einigen Fernsehgeräten bekannt ist. Bei entsprechender Positionierung der Sensoren können so die Augen auf der Straße und die Hände am Lenkrad oder zumindest sehr nahe dazu verbleiben. Der hier beschriebene frühe Demonstrator zeigt die Machbarkeit dieser Technologie mit einem neuartigen Erkennungsverfahren. Y1 - 2014 UR - https://www.degruyter.com/view/books/9783110344509/9783110344509.205/ 9783110344509.205.xml SN - 978-3-11-034450-9 U6 - http://dx.doi.org/10.1524/9783110344509.205 VL - 2014 SP - 205 EP - 210 PB - De Gruyter Oldenbourg CY - Berlin, Germany ER - TY - CHAP A1 - Handmann, Uwe A1 - Hommel, Sebastian A1 - Grimm, Matthias A1 - Malysiak, Darius T1 - Videobasierte kameraübergreifende Bildsequenzanalyse T2 - Analyse von Personenbewegungen an Flughäfen mittels zeitlich rückwärts- und vorwärtsgerichteter Videodatenstrome (APFel) N2 - Ziel des Verbundprojektes APFel (Projektlaufzeit: 01.01.2010 ‐ 31.03.2014)war eine zeitlich vorwärts‐ und rückwärtsgerichtete Lokalisation von Personen innerhalb eines Kameranetzwerkes aus sich nicht überlappenden Kameras in Hyperechtzeit zu ermöglichen. Einsatzbereiche dieses Szenarios sind kritische Infrastrukturen wie Flughäfen und Flugplätze. Zunächst fokussierte das Projekt APFel auf die Lokalisation einer einzelnen Zielperson. Weiterführend wurden die entwickelten Verfahren auf die Analyse von Gruppen erweitert, um Personen als Teil einer Gruppe lokalisieren zu können. Y1 - 2014 UR - https://www.tib.eu/de/suchen/id/TIBKAT% 3A83540806X/ U6 - http://dx.doi.org/https://doi.org/10.2314/GBV:83540806X VL - 2014 SP - 1 EP - 37 PB - Technische Informationsbibliothek und Universitätsbibliothek CY - Hannover, Germany ER - TY - CHAP A1 - Handmann, Uwe A1 - Kopinski, Thomas A1 - Malysiak, Darius T1 - A generic and adaptive approach for workload distribution in multitier cluster systems with an application to distributed matrix multiplication T2 - In 16th IEEE International Symposium on Computational Intelligence and Informatics, Budapest, Hungary N2 - We present a novel approach of distributing matrix multiplications among GPU-equipped nodes in a cluster system. In this context we discuss the induced challenges and possible solutions. Additionally we state an algorithm which outperforms optimized GPU BLAS libraries for small matrices. Furthermore we provide a novel theoretical model for distributing algorithms within homogeneous computation systems with multiple hierarchies. In the context of this model we develop an algorithm which can find the optimal distribution parameters for each involved subalgorithm. We provide a detailed analysis of the algorithms space and time complexities and justify its use with a structured evaluation within a small GPU-equipped Beowulf cluster. Y1 - 2015 ER - TY - CHAP A1 - Kopinski, Thomas A1 - Gepperth, Alexander A1 - Handmann, Uwe T1 - A simple technique for improving multi- class classification with neural networks T2 - In 23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), Bruges, Belgium N2 - We present a novel method to perform multi-class pattern classification with neural networks and test it on a challenging 3D hand gesture recognition problem. Our method consists of a standard one-against-all (OAA) classification, followed by another network layer classifying the resulting class scores, possibly augmented by the original raw input vector. This allows the network to disambiguate hard-to-separate classes as the distribution of class scores carries considerable information as well, and is in fact often used for assessing the confidence of a decision. We show that by this approach we are able to significantly boost our results, overall as well as for particular difficult cases, on the hard 10-class gesture classification task. Y1 - 2015 U6 - http://dx.doi.org/https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2015-136.pdf SP - 469 EP - 474 ER - TY - CHAP A1 - Kopinski, Thomas A1 - Magand, Stéphane A1 - Gepperth, Alexander A1 - Handmann, Uwe T1 - A light-weight real-time ap- plicable hand gesture recognition system for automotive applications T2 - IEEE Intelligent Vehicles Symposiume (IV 2015) N2 - We present a novel approach for improved hand-gesture recognition by a single time-of-flight(ToF) sensor in an automotive environment. As the sensor's lateral resolution is comparatively low, we employ a learning approach comprising multiple processing steps, including PCA-based cropping, the computation of robust point cloud descriptors and training of a Multilayer perceptron (MLP) on a large database of samples. A sophisticated temporal fusion technique boosts the overall robustness of recognition by taking into account data coming from previous classification steps. Overall results are very satisfactory when evaluated on a large benchmark set of ten different hand poses, especially when it comes to generalization on previously unknown persons. Y1 - 2015 UR - https://ieeexplore.ieee.org/document/7225708 SN - 978-1-4673-7266-4 U6 - http://dx.doi.org/10.1109/IVS.2015.7225708 SN - 1931-0587 VL - 2015 SP - 336 EP - 342 PB - IEEE ER - TY - CHAP A1 - Kopinski, Thomas A1 - Handmann, Uwe A1 - Gepperth, Alexander T1 - A real-time applicable dynamic hand gesture recognition framework T2 - IEEE 18th International Conference on Intelligent Trans- portation Systems (ITSC 2015) N2 - We present a system for efficient dynamic hand gesture recognition based on a single time-of-flight sensor. As opposed to other approaches, we simply rely on depth data to interpret user movement with the hand in mid-air. We set up a large database to train multilayer perceptrons (MLPs) which are subsequently used for classification of static hand poses that define the targeted dynamic gestures. In order to remain robust against noise and to balance the low sensor resolution, PCA is used for data cropping and highly descriptive features, obtainable in real-time, are presented. Our simple yet efficient definition of a dynamic hand gesture shows how strong results are achievable in an automotive environment allowing for interesting and sophisticated applications to be realized. Y1 - 2015 UR - https://ieeexplore.ieee.org/document/7313473 SN - 978-1-4673-6596-3 U6 - http://dx.doi.org/10.1109/ITSC.2015.381 SN - 2153-0017 VL - 2015 SP - 2358 EP - 2363 ER - TY - CHAP A1 - Kopinski, Thomas A1 - Magand, Stéphane A1 - Gepperth, Alexander A1 - Handmann, Uwe T1 - A pragmatic approach to multi-class classification T2 - The International Joint Conference on Neural Networks (IJCNN 2015) N2 - We present a novel hierarchical approach to multi-class classification which is generic in that it can be applied to different classification models (e.g., support vector machines, perceptrons), and makes no explicit assumptions about the probabilistic structure of the problem as it is usually done in multi-class classification. By adding a cascade of additional classifiers, each of which receives the previous classifier's output in addition to regular input data, the approach harnesses unused information that manifests itself in the form of, e.g., correlations between predicted classes. Using multilayer perceptrons as a classification model, we demonstrate the validity of this approach by testing it on a complex ten-class 3D gesture recognition task. Y1 - 2015 UR - https://ieeexplore.ieee.org/document/7280768 UR - http://www.handmann.net/pdf/IJCNN-KopHanEtAl2015a.pdf SN - 978-1-4799-1960-4 U6 - http://dx.doi.org/10.1109/IJCNN.2015.7280768 SN - 2161-4407 VL - 2015 IS - 2015 SP - 1 EP - 8 ER - TY - CHAP A1 - Rabie, Ahmad A1 - Handmann, Uwe T1 - Biometrie for home environment challenges, modalities and applications T2 - IEEE World Congress on Information Technology and Computer Applications (WCITCA2015) N2 - Utilizing biometrie traits for privacy- and security-applications is receiving an increasing attention. Applications such as personal identification, access control, forensics appli-cations, e-banking, e-government, e-health and recently person-alized human-smart-home and human-robot interaction present some examples. In order to offer person-specific services for/of specific person a pre-identifying step should be done in the run-up. Using biometric in such application is encountered by diverse challenges. First, using one trait and excluding the others depends on the application aimed to. Some applications demand directly touch to biometric sensors, while others don't. Second challenge is the reliability of used biometric arrangement. Civilized application demands lower reliability comparing to the forensics ones. And third, for biometric system could only one trait be used (uni-modal systems) or multiple traits (Bi- or Multi-modal systems). The latter is applied, when systems with a relative high reliability are expected. The main aim of this paper is providing a comprehensive view about biometric and its application. The above mentioned challenges will be analyzed deeply. The suitability of each biometric sensor according to the aimed application will be deeply discussed. Detailed com-parison between uni-modal and Multi-modal biometric system will present which system where to be utilized. Privacy and security issues of biometric systems will be discussed too. Three scenarios of biometric application in home-environment, human-robot-interaction and e-health will be presented. Y1 - 2015 UR - https://ieeexplore.ieee.org/document/7367021 SN - 978-1-4673-6636-6 U6 - http://dx.doi.org/10.1109/WCITCA.2015.7367021 VL - 2015 IS - 2015 SP - 1 EP - 4 ER - TY - CHAP A1 - Rabie, Ahmad A1 - Handmann, Uwe T1 - Privacy aware person-specific assisting system for home environment T2 - International Conference on Pattern Recognition Applications and Methods N2 - As smart homes are being more and more popular, the needs of finding assisting systems which interface between users and home environments are growing. Furthermore, for people living in such homes, elderly and disabled people in particular and others in general, it is totally important to develop devices, which can support and aid them in their ordinary daily life. We focused in this work on sustaining privacy issues of the user during a real interaction with the surrounding home environment. A smart person-specific assistant system for services in home environment is proposed. The role of this system is the assisting of persons by controlling home activities and guiding the adaption of Smart-Home-Human interface towards the needs of the considered person. At the same time the system sustains privacy issues of it’s interaction partner. As a special case of medical assisting the system is so implemented, that it provides for elderly or disabled people person-specific medical assistance . The system has the ability of identifying its interaction partner using some biometric features. According to the recognized ID the system, first, adopts towards the needs of recognized person. Second the system represents person-specific list of medicines either visually or auditive. And third the system gives an alarm in the case of taking medicament either later or earlier as normal taking time. Y1 - 2015 UR - www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/ 0005199301860192 UR - http://www.handmann.net/pdf/ICPRAM-RabHan2015.pdf U6 - http://dx.doi.org/10.5220/0005199301860192 IS - Volume 2 SP - 186 EP - 191 CY - Lisbon ER - TY - CHAP A1 - Handmann, Uwe T1 - Forschung an Hochschulen T2 - DIE FACHHOCHSCHULE 4.0 N2 - In diesem Aufsatz soll die Forschung an Fachhochschulen beispielhaft aus dem Blickwinkel des Instituts Informatik der in 2009 gegründeten Hochschule Ruhr West betrachtet werden. Am Institut Informatik ist es das Ziel Lehre und Forschung geeignet zu verknüpfen, um Studierenden, wissenschaftlichen Mitarbeiterinnen und Mitarbeitern und auch Lehrenden ein attraktives Angebot in Forschung und Lehre im Bereich der Informatik zu liefern. Dabei bilden neben der Durchführung interessanter Lehrveranstaltungen, welche durch aktuelle Forschungsfragestellungen angereichert werden, das kooperative Bearbeiten von gesellschaftlich relevanten und zukunftsweisenden Forschungsaufgaben, die Teilnahme an Forschungsverbünden, bilaterale Forschungsaktivitäten mit Partnern aus der Wirtschaft und das Einwerben von externen Mitteln, die Basis der Arbeit am Institut. Y1 - 2015 UR - http://hlb-nrw.de/fileadmin/hlb-nrw/downloads/informationen/2015-12-Tagungsband-Workshop_FH_4.0_April_2015.pdf VL - 2015 IS - 1/2015 SP - 53 EP - 58 PB - Selbstverlag des hlbNRW ER - TY - CHAP A1 - Kopinski, Thomas A1 - Sachara, Fabian A1 - Gepperth, Alexander A1 - Handmann, Uwe T1 - A Deep Learning Approach to Mid-air Gesture Interaction for Mobile Devices from Time-of-Flight Data (MOBIQUITOUS 2016) N2 - This contribution presents a novel approach of utilizing Time-of-Flight (ToF) technology for mid-air hand gesture recognition on mobile devices. ToF sensors are capable of providing depth data at high frame rates independent of illumination making any kind of application possible for in- and outdoor situations. This comes at the cost of precision regarding depth measurements and comparatively low lateral resolution. We present a novel feature generation technique based on a rasterization of the point clouds which realizes fixed-sized input making Deep Learning approaches applicable using Convolutional Neural Networks. In order to increase precision we introduce several methods to reduce noise and normalize the input to overcome difficulties in scaling. Backed by a large-scale database of about half a million data samples taken from different individuals our contribution shows how hand gesture recognition is realiz- able on commodity tablets in real-time at frame rates of up to 17Hz. A leave-one out cross-validation experiment demonstrates the feasibility of our approach with classification errors as low as 1,5% achieved persons unknown to the model. Y1 - 2016 UR - http://www.handmann.net/pdf/MOBIQUITOUS-KopHanEtAl2016.pdf U6 - http://dx.doi.org/10.1145/2994374.2994392 VL - 2016 SP - 1 EP - 9 ER - TY - JOUR A1 - Thiel, Christian A1 - Sommer, Susanne A1 - Osterhoff, Anke A1 - Koch, Oliver A1 - Handmann, Uwe A1 - Grüneberg, Christian T1 - Implementierung und erste Effekte Smartphone-unterstützter körperlich-kognitiver Aktivitäten im Quartier zur Förderung der sozialen Teilhabe älterer Menschen JF - B&G Bewegungstherapie und Gesundheitssport Y1 - 2018 SN - ISSN 1613-0863 VL - 2018 ER - TY - CHAP A1 - Kopinski, Thomas A1 - Handmann, Uwe T1 - Touchless interaction for future mobile applications N2 - We present a light-weight real-time applicable 3D-gesture recognition system on mobile devices for improved Human-Machine Interaction. We utilize time-of-flight data coming from a single sensor and implement the whole gesture recognition pipeline on two different devices outlining the potential of integrating these sensors onto mobile devices. The main components are responsible for cropping the data to the essentials, calculation of meaningful features, training and classifying via neural networks and realizing a GUI on the device. With our system we achieve recognition rates of up to 98% on a 10-gesture set with frame rates reaching 20Hz, more than sufficient for any real-time applications. Y1 - 2016 UR - https://ieeexplore.ieee.org/document/%207440589 ER - TY - CHAP A1 - Kopinski, Thomas A1 - Gepperth, Alexander A1 - Handmann, Uwe T1 - A time-of-flight-based hand posture database for human-machine interaction N2 - We present a publicly available benchmark database for the problem of hand posture recognition from noisy depth data and fused RGB-D data obtained from low-cost time-of-flight (ToF) sensors. The database is the most extensive database of this kind containing over a million data samples (point clouds) recorded from 35 different individuals for ten different static hand postures. This captures a great amount of variance, due to person-related factors, but also scaling, translation and rotation are explicitly represented. Benchmark results achieved with a standard classification algorithm are computed by cross-validation both over samples and persons, the latter implying training on all persons but one and testing on the remaining one. An important result using this database is that cross-validation performance over samples (which is the standard procedure in machine learning) is systematically higher than cross-validation performance over persons, which is to our mind the true application-relevant measure of generalization performance. Y1 - 2016 UR - https://ieeexplore.ieee.org/document/7838613/authors#authors ER - TY - CHAP A1 - Kopinski, Thomas A1 - Sachara, Fabian A1 - Gepperth, Alexander A1 - Handmann, Uwe T1 - Touch versus mid-air gesture interfaces in road scenarios-measuring driver performance degradation N2 - We present a study aimed at comparing the degradation of the driver's performance during touch gesture vs mid-air gesture use for infotainment system control. To this end, 17 participants were asked to perform the Lane Change Test. This requires each participant to steer a vehicle in a simulated driving environment while interacting with an infotainment system via touch and mid-air gestures. The decrease in performance is measured as the deviation from an optimal baseline. This study concludes comparable deviations from the baseline for the secondary task of infotainment interaction for both interaction variants. This is significant as all participants are experienced in touch interaction, however have had no experience at all with mid-air gesture interaction, favoring mid-air gestures for the long-term scenario. Y1 - 2016 UR - https://ieeexplore.ieee.org/document/7795624 ER - TY - CHAP A1 - Kopinski, Thomas A1 - Sachara, Fabian A1 - Gepperth, Alexander A1 - Handmann, Uwe T1 - A Deep Learning Approach for Hand Posture Recognition From Depth Data N2 - Given the success of convolutional neural networks (CNNs) during recent years in numerous object recognition tasks, it seems logical to further extend their applicability to the treatment of three-dimensional data such as point clouds provided by depth sensors. To this end, we present an approach exploiting the CNN’s ability of automated feature generation and combine it with a novel 3D feature computation technique, preserving local information contained in the data. Experiments are conducted on a large data set of 600.000 samples of hand postures obtained via ToF (time-of-flight) sensors from 20 different persons, after an extensive parameter search in order to optimize network structure. Generalization performance, measured by a leave-one-person-out scheme, exceeds that of any other method presented for this specific task, bringing the error for some persons down to 1.5 %. Y1 - 2016 UR - https://hal.archives-ouvertes.fr/hal-01418137/document ER - TY - CHAP A1 - Nieß, Christoph A1 - Fey, Jens A1 - Schwahlen, Daniel A1 - Reimann, Martin A1 - Handmann, Uwe T1 - Applying step heating thermography to wind turbine rotor blades as a non-destructive testing method Y1 - 2017 UR - http://www.proceedings.com/ 36004.html SN - 978-1-5108-4726-2 SP - 68 EP - 76 ER - TY - CHAP A1 - Handmann, Uwe A1 - von Seelen, Werner A1 - Kalinke, Thomas A1 - Tzomakas, Christos A1 - Werner, Martin T1 - Image Processing for Driver Assistance T2 - Mustererkennung 1998 N2 - Systems for automated image analysis are useful for a variety of tasks and their importance is still growing due to technological advances and an increase of social acceptance. Especially in the field of driver assistance systems the progress in science has reached a level of high performance. Fully or partly autonomously guided vehicles, particularly for road-based traffic, pose high demands on the development of reliable algorithms due to the conditions imposed by natural environments. At the Institut für Neuroinformatik methods for analyzing driving relevant scenes by computer vision are developed in cooperation with several partners from the automobile industry. We introduce a system which extracts the important information from an image taken by a CCD camera installed at the rear view mirror in a car. The approach consists of a sequential and a parallel sensor and information processing. Three main tasks namely the initial segmentation (object detection), the object tracking and the object classification are realized by integration in the sequential branch and by fusion in the parallel branch. The main gain of this approach is given by the integrative coupling of different algorithms providing partly redundant information. Y1 - 1998 UR - https://link.springer.com/chapter/10.1007%2F978-3-642-72282-0_2 UR - http://www.handmann.net/pdf/DAGM-vSeHanEtAl1998.pdf U6 - http://dx.doi.org/10.1007/978-3-642-72282-0_2 SP - 11 EP - 22 PB - Springer Verlag CY - Berlin ER - TY - CHAP A1 - Kopinski, Thomas A1 - Maysiak, Darius A1 - Gepperth, Alexander A1 - Handmann, Uwe T1 - Time-of-flight based multi- sensor fusion strategies for hand gesture recognition T2 - 15th International Symposium on Computational Intelligence and Informatics (CINTI) N2 - Building upon prior results, we present an alternative approach to efficiently classifying a complex set of 3D hand poses obtained from modern Time-Of-Flight-Sensors (TOF). We demonstrate it is possible to achieve satisfactory results in spite of low resolution and high noise (inflicted by the sensors) and a demanding outdoor environment. We set up a large database of pointclouds in order to train multilayer perceptrons as well as support vector machines to classify the various hand poses. Our goal is to fuse data from multiple TOF sensors, which observe the poses from multiple angles. The presented contribution illustrates that real-time capability can be maintained with such a setup as the used 3D descriptors, the fusion strategy as well as the online confidence measures are computationally efficient. Y1 - 2014 UR - https://ieeexplore.ieee.org/document/7028683 SN - 978-1-4799-5338-7 U6 - http://dx.doi.org/10.1109/CINTI.2014.7028683 VL - 2014 IS - 15 SP - 243 EP - 248 PB - IEEE ER - TY - CHAP A1 - Handmann, Uwe A1 - Lorenz, Gesa A1 - Schnitger, Thomas A1 - von Seelen, Werner T1 - Fusion of Different Sensors and Algorithms for Segmentation T2 - IEEE International Conference on Intelligent Vehicles N2 - In this article we present a system for coupling different base algorithms and sensors for segmentation. Three different solutions for image segmentation by fusion are described, compared and results are shown. The fusion of base algorithms with colorinformation and a sensor fusion process of an optical and a radar sensor including a feedback over time is realized. A feature-in decision-out fusion process is solved. For the fusion process a multi layer perceptron (MLP) with one hidden layer is used as a coupling net. The activity of the output neuron represents the membership of each pixel to an initial segment. KW - INTELLIGENT VEHICLES Y1 - 1998 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5182 UR - http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=4A063A9C25E44B3FF2C8915D9FDE5718?doi=10.1.1.28.7282&rep=rep1&type=pdf UR - http://www.handmann.net/pdf/IV-HanEtAl1998a.pdf VL - 1998 SP - 499 EP - 504 CY - Stuttgart ER - TY - CHAP A1 - Malysiak, Darius A1 - Grimm, Matthias A1 - Handmann, Uwe T1 - On the challenge of training small scale neural networks on large scale computing systems T2 - 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI) N2 - We present a novel approach of distributing small-to mid-scale neural networks onto modern parallel architectures. In this context we discuss the induced challenges and possible solutions. We provide a detailed theoretical analysis with respect to space and time complexities and reinforce our computation model with evaluations which show a performance gain over state of the art approaches. Y1 - 2015 UR - https://ieeexplore.ieee.org/document/7382935 SN - 978-1-4673-8520-6 U6 - http://dx.doi.org/10.1109/CINTI.2015.7382935 SP - 273 EP - 284 ER - TY - CHAP A1 - Malysiak, Darius A1 - Markard, Markus A1 - Handmann, Uwe T1 - Increasing the efficiency of gpu-based hog algorithms through tile-images T2 - Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science N2 - Object detection systems which operate on large data streams require an efficient scaling with available computation power. We analyze how the use of tile-images can increase the efficiency (i.e. execution speed) of distributed HOG-based object detectors. Furthermore we discuss the challenges of using our developed algorithms in practical large scale scenarios. We show with a structured evaluation that our approach can provide a speed-up of 30-180 % for existing architectures. Due to the its generic formulation it can be applied to a wide range of HOG-based (or similar) algorithms. In this context we also study the effects of applying our method to an existing detector and discuss a scalable strategy for distributing the computation among nodes in a cluster system. Y1 - 2015 UR - https://link.springer.com/chapter/10.1007/978-3-662-49381-6_68 SN - 978-3-662-49381-6 U6 - http://dx.doi.org/https://doi.org/10.1007/978-3-662-49381-6_68 VL - 2015 IS - vol 9621 SP - 708 EP - 720 PB - Springer CY - Berlin ER - TY - CHAP A1 - Handmann, Uwe A1 - Leefken, Iris A1 - Steinhage, Axel A1 - von Seelen, Werner T1 - Behaviour planning for driver assistance using neural field dynamics T2 - Second International Symposium 'Neural Computation' N2 - The behavior planning of a vehicle in real world traffic is a difficult problem to be solved. If different hierarchies of tasks and purposes are built to structure the behavior of a driver, complex systems can be designed. But finally behavior planning in vehicles can only influence the controlled variables: steering angle and velocity. In this paper a behavior planning for a driver assistance system aiming on cruise control is proposed. In this system the controlled variables are determined by an evaluation of the dynamics of two one-dimensional neural fields. The stimuli of the field are determined according to sensor information produced by a simulation environment. Y1 - 2000 UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.9398 UR - http://www.handmann.net/pdf/NC-HanLeeStevSe2000.pdf U6 - http://dx.doi.org/10.1.1.34.9398 ER - TY - CHAP A1 - Hommel, Sebastian A1 - Malysiak, Darius A1 - Handmann, Uwe T1 - Model of human clothes based on saliency maps T2 - 14th IEEE International Symposium on Computational Intelligence and Informatics N2 - In this paper, we describe a method to model human clothes for a later recognition by the use of RGB- and SWIR-cameras. A basic model is estimated during people detection and tracking. This model will be refined if the recognition is triggered. For the refining, several saliency maps are used to extract individual features. These individual features are located separately for any human body parts. The body parts are estimated by the use of a silhouette extraction combined with a skeleton estimation. In this way, the model describes the human clothes in a compact manner which allows the use of a simple and fast comparison method for people recognition. Such models can be used in security and service applications. Y1 - 2013 UR - https://ieeexplore.ieee.org/document/6705258 UR - http://www.handmann.net/pdf/CINTI-HomMalHan2013.pdf U6 - http://dx.doi.org/10.1109/CINTI.2013.6705258 SP - 551 EP - 556 ER - TY - CHAP A1 - März, Paul A1 - Handmann, Uwe T1 - Driver Stress Response to Self-driving Vehicles and Takeover Request – An Expert Assessment T2 - Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing N2 - A self-driving car that operates on the SAE automation level 3 or 4 can navigate through different traffic conditions without human input. If such a system is on its operating limits, it will emit a takeover request before shutting down. This request will likely generate a physical response of the driver. Our goal is to shed light on the stress perception of drivers in various scenarios. To this end, we have carried out a feasibility study for preparation. Two subjects drove an autonomous vehicle and during the ride ECG signals were recorded, and afterwards evaluated. Unfortunately, the stress reaction to takeover requests could not be investigated, due to the poor function of the autonomous driving mode from the vehicle, however the reaction to autopilot misconduct without warning to the driver could be investigated instead. Y1 - 2018 UR - https://link.springer.com/chapter/10.1007/978-3-030-02053-8_112 UR - https://www.researchgate.net/publication/328343988_Driver_Stress_Response_to_Self-driving_Vehicles_and_Takeover_Request_-_An_Expert_Assessment_Proceedings_of_the_1st_International_Conference_on_Human_Systems_Engineering_and_Design_IHSED2018_Future_Tre SN - 978-3-030-02052-1 IS - volume 876 SP - 737 EP - 743 PB - Springer ER - TY - CHAP A1 - Fey, Jens A1 - Djahan, Cedric A1 - Mpouma, Thierry Arnaud A1 - Neh-Awah, Julienne A1 - Handmann, Uwe T1 - Active Thermographic Structural Feature Inspection of Wind-Turbine Rotor T2 - 2017 Far East NDT New Technology & Application Forum (FENDT) N2 - Checking wind turbines for damage is a common problem for operators of wind parks, as regular inspections are legally required in many countries and prevention is economically viable. While some of the common forms of damage are easily visible on the surface, structural problems can remain invisible for years before they eventually result in catastrophic failure of a rotor blade. Common forms of testing fibre composite parts like ultrasonic testing or X-ray tests are impractical due to the large dimensions of wind turbine components and their limited accessibility for any short-range methods. Active thermographic inspection of wind turbines is a promising approach to testing for structural flaws beneath the surface of rotor blades. As part of an ongoing research project, a setup for testing the general viability of this method was built and used to compare different thermographic cameras. A sample cut from a discarded rotor blade was modified to emulate structural damage. The results are promising for the development of a cost effective on-site testing system. Y1 - 2017 UR - https://ieeexplore.ieee.org/document/8584610/authors#authors U6 - http://dx.doi.org/10.1109/FENDT.2017.8584610 SP - 138 EP - 142 ER - TY - CHAP A1 - Handmann, Uwe A1 - Schwahlen, Daniel T1 - Effects of environmental influences on active thermography to detect the inner structures of wind turbine rotor blades T2 - 2018 IEEE Conference on Technologies for Sustainability (SusTech) Y1 - 2018 UR - https://ieeexplore.ieee.org/document/8671329 SN - 978-1-5386-7791-9 VL - 2018 ER - TY - CHAP A1 - Schwahlen, Daniel A1 - Fey, Jens A1 - Nieß, Christoph A1 - Reimann, Martin A1 - Handmann, Uwe T1 - Increasing economic viability and safety through structural health monitoring of wind turbines T2 - 2017 IEEE Conference on Technologies for Sustainability (SusTech) N2 - Serious accidents with property damage or even human casualties, result from structural flaws in wind turbine rotor blades. Common maintenance practices result in long downtimes and do not lead to the required results. Therefore, the Ruhr West University of Applied Sciences and the iQbis Consulting GmbH, currently research a new structural health monitoring method for wind turbine rotor blades. The goal of this project is to build a sensor system that can detect structural weaknesses inside of rotor blades without the need of downtime for industrial climbers. This technology has the potential to prevent accidents, save lives, extend the useful life of wind turbines and optimize the production of green energy. Y1 - 2017 UR - https://ieeexplore.ieee.org/document/8333511/ U6 - http://dx.doi.org/10.1109/SusTech.2017.8333511 ER - TY - CHAP A1 - Sarkar, Ayanava A1 - Gepperth, Alexander A1 - Handmann, Uwe A1 - Kopinski, Thomas T1 - Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM T2 - Intelligent Human Computer Interaction. IHCI 2017. Lecture Notes in Computer Science N2 - We present a pipeline for recognizing dynamic freehand gestures on mobile devices based on extracting depth information coming from a single Time-of-Flight sensor. Hand gestures are recorded with a mobile 3D sensor, transformed frame by frame into an appropriate 3D descriptor and fed into a deep LSTM network for recognition purposes. LSTM being a recurrent neural model, it is uniquely suited for classifying explicitly time-dependent data such as hand gestures. For training and testing purposes, we create a small database of four hand gesture classes, each comprising 40 × 150 3D frames. We conduct experiments concerning execution speed on a mobile device, generalization capability as a function of network topology, and classification ability ‘ahead of time’, i.e., when the gesture is not yet completed. Recognition rates are high (>95%) and maintainable in real-time as a single classification step requires less than 1 ms computation time, introducing freehand gestures for mobile systems. Y1 - 2017 SN - 978-3-319-72038-8 U6 - http://dx.doi.org/https://doi.org/10.1007/978-3-319-72038-8_3 IS - vol. 10688 SP - 19 EP - 31 PB - Springer ER - TY - CHAP A1 - März, Paul A1 - Handmann, Uwe T1 - Human Systems Engineering and Design T2 - IHSED 2018 - 1st International Conference on Human Systems Engineering and Design: Future Trends and Applications, volume 876 of Advances in Intelligent Systems and Computing, chapter Driver Stress Response to self-driving vehicles and takeover request a experts assessment Y1 - 2018 UR - https://link.springer.com/chapter/10.1007/978-3-030-02053-8_112 U6 - http://dx.doi.org/10.1007/978-3-030-02053-8_112 SP - 737 EP - 743 ER - TY - JOUR A1 - Handmann, Uwe A1 - Zengeler, Nico A1 - Kopinski, Thomas T1 - Time-of-flight Hand Gesture Data Analysis in an Automotive Context JF - MIGW - 8th Conference on Mobility in a Globalised World, Mülheim, Germany Y1 - 2018 ER - TY - CHAP A1 - Arntz, Alexander A1 - Eimler, Sabrina A1 - Handmann, Uwe A1 - Keßler, Dustin T1 - Teaching Practical Tasks with Virtual Reality and Augmented Reality An Experimental Study Comparing Learning Outcomes T2 - 21st General Online Research Conference N2 - RELEVANCE & RESEARCH QUESTION: Currently the effectiveness of Virtual Reality (VR) and Augmented Reality (AR) systems as practice teaching methods are virtually uncharted. The proof that these systems can provide the same or better learning outcomes than a text instructed practical task could represent a significant benefit for educational activities. METHODS & DATA: To fathom the effectiveness, an experimental study with the three conditions (VR, AR and a real setup) were used to teach participant how to assemble a standard computer. Each condition was divided into two parts: part one in which participants were confronted with their specific scenario, part two in which participants had to go through a real practice after one week. The learning outcome was determined by the designation of hardware parts, a quiz that queried their function and the correct assembling of the components in addition to needed time. Apart from the mere performance, the acceptance of such application in academic context and difference in evaluation by men and women were of interest. RESULTS: Results concerning the Learning Outcome showed that participants from the VR condition outperformed those learned from the real setup ((M=10.0, SD=0.0) [virtual reality] vs. (M=8.95, SD=1.27) [control]). Furthermore, results from the assembling duration assessment demonstrated that VR Group Participants completed their tasks 6.62% faster than the control group. Regarding the identification of Hardware Parts, both groups scored a significant improvement during the post condition compared to the first test run, indicating a learning progress. However, due to the VR group achieving a better outcome in average answers and a more significant difference between the trials, the results indicate a better performance by participants assigned to the VR condition. ADDED VALUE: The results revealed that VR and AR systems could exceed text-based approach in terms of learning outcome performance. The effectiveness of the systems implicates a major benefit for the educational landscape, as learning content that is not realizable in terms of cost, distance or logistics could be designed as an immersive and engaging experience. Y1 - 2019 UR - http://www.handmann.net/pdf/GOR-ArnEimHan2019.pdf SN - I978-3-9815106-7-6 SP - 49 EP - 49 ER - TY - GEN A1 - Arntz, Alexander A1 - Eimler, Sabrina A1 - Handmann, Uwe T1 - Artificial Intelligence Driven Human-Machine Collaboration Scenarios in Virtual Reality (Poster) T2 - Intelligent Automation Symposium -When Robots Think. Interdisciplinary Views on Intelligent Automation (Poster) Y1 - 2018 UR - http://www.handmann.net/pdf/IA-Poster-ArnEimHan2018.pdf CY - Münster ER - TY - CHAP A1 - Zengeler, Nico A1 - Grimm, Matthias A1 - Borgmann, Colja A1 - Jansen, Marc A1 - Eimler, Sabrina A1 - Handmann, Uwe T1 - An Evaluation of Human Detection Methods on Camera Images in Heavy Industry Environments T2 - 14th IEEE Conference on Industrial Electronics and Applications Y1 - 2019 UR - https://www.researchgate.net/publication/329190896_An_Evaluation_of_Human_Detection_Methods_on_Camera_Images_in_Heavy_Industry_Environments UR - http://www.handmann.net/pdf/ICIEA_ZenHanEtAl2019.pdf VL - 2018 ER - TY - JOUR A1 - Zengeler, Nico A1 - Kopinski, Thomas A1 - Handmann, Uwe T1 - Hand Gesture Recognition in Automotive Human–Machine Interaction Using Depth Cameras JF - sensors N2 - In this review, we describe current Machine Learning approaches to hand gesture recognition with depth data from time-of-flight sensors. In particular, we summarise the achievements on a line of research at the Computational Neuroscience laboratory at the Ruhr West University of Applied Sciences. Relating our results to the work of others in this field, we confirm that Convolutional Neural Networks and Long Short-Term Memory yield most reliable results. We investigated several sensor data fusion techniques in a deep learning framework and performed user studies to evaluate our system in practice. During our course of research, we gathered and published our data in a novel benchmark dataset (REHAP), containing over a million unique three-dimensional hand posture samples. Y1 - 2018 UR - https://www.researchgate.net/publication/329900072_Hand_Gesture_Recognition_in_Automotive_Human-Machine_Interaction_Using_Depth_Cameras UR - https://www.mdpi.com/1424-8220/19/1/59/htm UR - http://www.handmann.net/pdf/SENSORS-ZenKopHan2019pdf U6 - http://dx.doi.org/10.3390/s19010059 VL - 59 IS - 19,(1) ER - TY - CHAP A1 - Strassmann, Carolin A1 - Eimler, Sabrina A1 - Arntz, Alexander A1 - Keßler, Dustin A1 - Zielinski, Sarah A1 - Brandenberg, Gabriel A1 - Dümpel, Vanessa A1 - Handmann, Uwe T1 - Relax yourself - Using Virtual Reality to enhance employees mental health and work performance N2 - This paper presents work-in-progress aiming to develop an actively adapting virtual reality (VR) relaxation application. Due to the immersive nature of VR technologies, people can escape from their real environment and get into a relaxing state. Goal of the application is to adapt to the users' physiological signals to foster the positive effect. Until now, a first version of the VR application was constructed and is currently evaluated in an experiment. Preliminary results of this study demonstrate that people appreciate the immersion into the virtual environment and escape from reality. Moreover, participants highlighted the option to adapt users' needs and preferences. Based on the final study data, the constructed application will be enhanced with regard to adoption and surrounding factors. Y1 - 2019 SN - 978-1-4503-5971-9 SP - 1 EP - 6 ER - TY - CHAP A1 - Eimler, Sabrina A1 - Geisler, Stefan T1 - Zur Akzeptanz Autonomen Fahrens - Eine A-Priori Studie N2 - Die Entwicklung von vollautomatisierten Fahrzeugen wird in der gesellschaftlichen Diskussion immer präsenter. Wichtig für die Durchsetzung und verbreitete Nutzung dieser technischer Neuerungen ist jedoch vor allem die Akzeptanz der Bevölkerung – in diesem Fall nicht nur die der potenziellen KäuferInnen sondern auch die der übrigen Verkehrs-teilnehmenden. Vorgestellt wird eine explorative Online-Studie zur Akzeptanz von auto-nomen Fahren basierend auf quantitativen und qualitativen Daten einer Stichprobe von N = 89. Die Ergebnisse zeigen unter anderem eine geringe Vertrautheit mit dem Thema, ein vergleichsweise ausgeprägtes Vertrauen aber eine geringe Nutzungsabsicht. Y1 - 2015 ER - TY - CHAP A1 - Himmel, Jörg T1 - Kostengünstige Erfassung von kleinen Membranwegen bei der Druckmessung Y1 - 2002 ER - TY - CHAP A1 - Himmel, Jörg T1 - Mobile Walzenmesstechnik Y1 - 2003 ER - TY - JOUR A1 - Stoffregen, Julia A1 - Pawlowski, Jan M. A1 - Pirkkalainen, Henri T1 - A Barrier Framework for open E-Learning in public administrations N2 - E-Learning and openness in education are receiving ever increasing attention in businesses as well as in academia. However, these practices have only to small extent been introduced in public administrations. The study addresses this gap by presenting a literature review on Open Educational Resources [OER] and E-Learning in the public sector. The main goal of the article is to identify challenges to open E-Learning in public administrations. Experiences will be conceptualized as barriers which need to be considered when introducing open E-Learning systems and programs in administrations. The main outcome is a systematic review of lessons learned, presented as a contextualized Barrier Framework which is suitable to analyze requirements when introducing E-Learning and OER in public administrations. Y1 - 2015 ER - TY - CHAP A1 - Stoffregen, Julia A1 - Pawlowski, Jan M. A1 - Šćepanović, Snezana A1 - Zugic, Dragica A1 - Moebs, Sabine A1 - Raffl, Celina A1 - Steffens, Petra A1 - Przygoda, Christiane A1 - Müller, Jeanette T1 - Why do relevant structural gaps to the exchange of open knowledge resources change in public administrations? T2 - Proceedings World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education N2 - Why do barriers to the exchange of open knowledge resources change in public administrations? Experts in the public sector have been interviewed and outlined antecedents of change to certain barriers. The results are an initial step towards theorizing on barrier change and stepping beyond the current trend of categorizing difficulties to e-Learning and use of open knowledge resources. Categorizing only shows the range of potential challenges. Whether and how the barriers change, however, is seldom addressed in previous literature. The results presented in this study thus provide a new perspective on the phenomenon. Results are part of a longitudinal study about open e-Learning in the public sector across four European countries. They will provide fresh empirical input for discussions at the World Conference on E-Learning how to advance future research and practices in the domain Y1 - 2015 ER - TY - CHAP A1 - Kopinski, Thomas A1 - Geisler, Stefan A1 - Caron, Louis-Charles A1 - Gepperth, Alexander A1 - Handmann, Uwe T1 - A real-time applicable 3D gesture recognition system for automobile HMI T2 - 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) N2 - We present a system for 3D hand gesture recognition based on low-cost time-of-flight(ToF) sensors intended for outdoor use in automotive human-machine interaction. As signal quality is impaired compared to Kinect-type sensors, we study several ways to improve performance when a large number of gesture classes is involved. Our system fuses data coming from two ToF sensors which is used to build up a large database and subsequently train a multilayer perceptron (MLP). We demonstrate that we are able to reliably classify a set of ten hand gestures in real-time and describe the setup of the system, the utilised methods as well as possible application scenarios. Y1 - 2014 UR - https://ieeexplore.ieee.org/abstract/document/6958109/authors#authors ER - TY - CHAP A1 - Lefort, Mathieu A1 - Kopinski, Thomas A1 - Gepperth, Alexander T1 - Multimodal space representation driven by self-evaluation of predictability T2 - 4th International Conference on Development and Learning and on Epigenetic Robotics N2 - PROPRE is a generic and modular neural learning paradigm that autonomously extracts meaningful concepts of multimodal data flows driven by predictability across modalities in an unsupervised, incremental and online way. For that purpose, PROPRE consists of the combination of projection and prediction. Firstly, each data flow is topologically projected with a self-organizing map, largely inspired from the Kohonen model. Secondly, each projection is predicted by each other map activities, by mean of linear regressions. The main originality of PROPRE is the use of a simple and generic predictability measure that compares predicted and real activities for each modal stream. This measure drives the corresponding projection learning to favor the mapping of predictable stimuli across modalities at the system level (i.e. that their predictability measure overcomes some threshold). This predictability measure acts as a self-evaluation module that tends to bias the representations extracted by the system so that to improve their correlations across modalities. We already showed that this modulation mechanism is able to bootstrap representation extraction from previously learned representations with artificial multimodal data related to basic robotic behaviors [1] and improves performance of the system for classification of visual data within a supervised learning context [2]. In this article, we improve the self-evaluation module of PROPRE, by introducing a sliding threshold, and apply it to the unsupervised classification of gestures caught from two time-of-flight (ToF) cameras. In this context, we illustrate that the modulation mechanism is still useful although less efficient than purely supervised learning. Y1 - 2014 UR - https://ieeexplore.ieee.org/abstract/document/6983000/authors#authors ER - TY - CHAP A1 - Jansen, Marc A1 - Miranda Carpintero, Javier A1 - Manuel, Juan T1 - Implementation of Asynchronous Mobile Web Services : Implementation and First Usage T2 - Proceedings of the 4th International Conference on Cloud Computing and Services Science N2 - Mobile devices are nowadays used almost ubiquitously by a large number of users. 2013 was the first year in which the number of sold mobile devices (tablet computers and mobile phones) outperformed the number of PCs’ sold. And this trend seems to be continuing in the coming years. Additionally, the scenarios in which these kinds of devices are used, grow almost day by day. Another trend in modern landscapes is the idea of Cloud Computing, that basically allows for a very flexible provision of computational services to customers. Yet, these two trends are not well connected. Of course there exists already quite a large amount of mobile applications (apps) that utilize Cloud Computing based services. The other way round, that mobile devices provide one of the building blocks for the provision of Cloud Computing based services is not well established yet. Therefore, this paper concentrates on an extension of a technology that allows to provide standardized Web Services, as one of the building blocks for Cloud Computing, on mobile devices. The extension hereby consists of a new approach that now also allows to provide asynchronous Web Services on mobile devices, in contrast to synchronous ones. Additionally, this paper also illustrates how the described technology was already used in an app provided by a business partner. Y1 - 2014 UR - http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004948906450651 U6 - http://dx.doi.org/10.5220/0004948906450651 IS - Vol.1 SP - 645 EP - 651 ER - TY - CHAP A1 - Koch, Oliver A1 - Siddiqui, Abbas A1 - Jansen, Marc T1 - Context-Based mHealth applications based on mobile Web Services T2 - Electronic Proceedings of The International eHealth, Telemedicine and Health ICT Forum for Educational, Networking and Business Y1 - 2014 UR - https://www.isfteh.org/files/media/Electronic_Proceedings_Med-e-Tel_2014.pdf SP - 604 EP - 608 ER - TY - CHAP A1 - Zbick, Janosch A1 - Jansen, Marc A1 - Milrad, Marcelo T1 - Towards a web-based framework to support end-user programming for mobile learning activities T2 - 2014 IEEE 14th International Conference on Advanced Learning Technologies N2 - This paper describes the design and development stages of a web-based framework, aiming to support the creation of mobile applications within the context of mobile learning. The suggested approach offers the opportunity to deploy and execute these applications on mobile devices. This web-based solution additionally offers the possibility to visualize the data collected by the mobile applications in a web-browser. Despite previous research efforts carried out in this domain, few of the projects have addressed these processes from a purely web-based perspective. Currently, a prototype of an authoring tool for creating mobile data collection applications is already implemented. In order to integrate and validate this solution in everyday educational settings, we are collaborating with a network of high schools. On the basis of workshops with teachers we will carry out, refinements and requirements for further enhancements will be collected and will be used to guide our coming efforts. Y1 - 2014 UR - https://ieeexplore.ieee.org/abstract/document/6901437 U6 - http://dx.doi.org/10.1109/ICALT.2014.66 SP - 204 EP - 208 ER - TY - INPR A1 - Sotsenko, Alisa A1 - Jansen, Marc A1 - Milrad, Marcelo T1 - Using a Rich Context Model for a News Recommender System for Mobile Users T2 - 2nd International Workshop on News Recommendation and Analytics N2 - Recommender systems have become an important application domain related to the development of personalized mobile services. Thus, various recommender mechanisms have been developed for filtering and delivering relevant information to mobile users. This paper presents a rich context model to provide the relevant content of news to the current context of mobile users. The proposed rich context model allows not only providing relevant news with respect to the user’s current context but, at the same time, also determines a convenient representation format of news suitable for mobile devices. Y1 - 2014 UR - http://www.diva-portal.org/smash/get/diva2:720594/FULLTEXT01.pdf ER - TY - CHAP A1 - Kohen-Vacs, Dan A1 - Jansen, Marc A1 - Milrad, Marcelo A1 - Ronen, Miky T1 - Designing and Developing Interactive Video Experience for Supporting M-Learning T2 - Proceedings of the 22nd International Conference on Computers in Deducation N2 - In recent years, teachers have started to conduct pedagogical activities to promote different kinds of learning interactions supported by rich media. The deployment of such activities is rapidly increasing, as teachers and students own technological means that allow supporting them along such interactions. These activities can be carried out in traditional classroom settings while using regular computers. Additionally, they can also be conducted from anywhere at any time while using smartphones and tablets. In this paper, we describe a pedagogical activity requiring students to author and later peer- assess learning interactions incorporated to videos in YouTube. We describe EDU.Tube, an environment that enables them to create, share and consume such rich media learning activities across a variety of devices. We then detail a plan for the implementation of an activity that took place in 3 different classes dealing with diverse materials addressing computer science related topics. Finally, we also provide an evaluation presenting students' insights and feedbacks resulting from the experienced activity. We discuss and analyze these outcomes in order to elaborate on them as concerns that could be applied for the further deployment of the EDU.Tube environment. Y1 - 2014 UR - http://icce2014.jaist.ac.jp/icce2014/wp-content/uploads/2015/08/ICCE2014-Main-Proceedings-lite.pdf SP - 413 EP - 422 ER - TY - CHAP A1 - Zbick, Janosch A1 - Nake, Isabella A1 - Jansen, Marc A1 - Milrad, Marcelo T1 - mLearn4web: a web-based framework to design and deploy cross-platform mobile applications T2 - Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia MUM ’14 (Melbourne, Australia, 2014) N2 - This paper presents a web-based framework that allows the creation and deployment of mobile learning activities. We present an authoring tool that allows not-technically skilled persons to design mobile learning tasks and deploy them as a web-based mobile application. Since the presented approach is based exclusively on web-technologies, the deployed mobile application can be executed via a mobile browser and therefore is platform independent. Despite previous research efforts carried out in this domain, few of the projects have addressed this course of actions from a purely web-based perspective. Through the latest development of web technologies, mobile applications have access to internal sensors like camera, microphone and GPS and therefore allow data collection within web-applications. In order to validate whether the proposed framework can be applied in educational settings, we conducted a pilot study with experienced teachers and present the results of these efforts in this paper. Y1 - 2014 SP - 252 EP - 255 ER - TY - JOUR A1 - Handmann, Uwe A1 - Geisler, Stefan A1 - Kopinski, Thomas T1 - Contactless Gestures : Intelligent Gesture Recognition and Interaction Concepts JF - Human-Machine Interaction N2 - With the introduction of Apple’s iPhone, gesture control became pop- ular and was perceived as an intuitive means of interaction. Contact- less gestures received broad attention with the X-Box Kinect. Current technology is limited to a small number of uses, mainly in entertainment systems. The target of this project is to increase the range of possible applications, e.g. to the field of automotive, industrial applications (manufacturing plants), assisted living in con- texts ranging from private households to hospitals (interaction for people with disabilities) and many more. Y1 - 2014 UR - http://www.innovationsallianz.nrw.de/archiv/innovationsallianz.nrw.de/fileadmin/redakteure/neitzert/Human_Machine_2014_10_kl.pdf SP - 41 ER - TY - JOUR A1 - Handmann, Uwe A1 - Rabie, Ahmad T1 - Person-specific contactless interaction - usability of assistance and information systems at home (UsAHome) JF - Human-Machine Interaction; InnovationsAllianz der NRW-Hochschulen e.V N2 - With a rapidly ageing population, it is increasingly important to de- velop devices for elderly and disabled people that can support and aid them in their daily lives, helping them to live at home as long as pos- sible. The goal of this project is to implement a human-machine inter- action and assistance system that can offer personalised health sup- port for elderly people, or for those who have special needs in the home environment. Y1 - 2014 SP - 27 ER - TY - CHAP A1 - Rabie, Ahmad A1 - Handmann, Uwe T1 - NFC-based person-specic assisting system in home environment - case study: Medical assistant for elderly and disabled people T2 - Proceeding of the 11th World Congress on Intelligent Control and Automation N2 - As smart homes are being more and more popular, the needs of finding assisting systems which interface between users and home environments are growing. Furthermore, for elderly and disabled people living in such homes it is totally important to develop devices, which can support and aid them in their ordinary daily life. This demands means and tools that extend independent living and promote improved health. In this work we reviewed the state of the art in the assistant systems in home environments. A case study of medical assisting system for elderly and people with disabilities is discussed deeply. A smart nfc-based person-specific assistant system for services in home environment is proposed. The role of this system is the assisting by controlling of home activities and adaption of home-human interface towards the needs of the considered person. For the special case of medical assisting the system has the ability of providing for elderly or disabled people person-specific medical assistance. The system has the ability of identifying its interaction partner using some biometric features. According to the recognized ID the system, first, adopts towards the needs of recognized person. Second the system represents person-specific list of medicaments either visually, on screen, or acoustic, speaker. And third the system gives an alarm in the case of taking medicament either later or earlier as normal taking time. Y1 - 2014 UR - https://ieeexplore.ieee.org/abstract/document/7053637 U6 - http://dx.doi.org/10.1109/WCICA.2014.7053637 SP - 5395 EP - 5400 ER - TY - CHAP A1 - Handmann, Uwe A1 - Malysiak, Darius T1 - An efficient framework for distributed computing in heterogeneous beowulf clusters and cluster-management T2 - 15th IEEE International Symposium on Computational Intelligence and Informatics N2 - In the context of existing approaches to cluster computing we present a newly developed modular framework `SimpleHydra' for rapid deployment and management of Beowulf clusters. Instead of focusing only the pure computation tasks on homogeneous clusters (i.e. clusters with identically set up nodes), this framework aims to ease the configuration of heterogeneous clusters and to provide a low-level / high-level object-oriented API for low-latency distributed computing. Our framework does not make any restrictions regarding the hardware and minimizes the use of external libraries to the case of special modules. In addition to that our framework enables the user to develop highly dynamic cluster topologies. We describe the framework's general structure as well as time critical elements, give application examples in the `Big-Data' context during a research project and briefly discuss additional features. Furthermore we give a thorough theoretical time/space complexity analysis of our implemented methods and general approaches. Y1 - 2014 UR - https://ieeexplore.ieee.org/abstract/document/7028670 UR - http://www.handmann.net/pdf/CINTI-MalHan2014.pdf U6 - http://dx.doi.org/10.1109/CINTI.2014.7028670 SP - 169 EP - 178 ER - TY - CHAP A1 - Handmann, Uwe A1 - Hommel, Sebastian A1 - Malysiak, Darius T1 - Efficient people re-identication based on models of human clothes T2 - 15th IEEE International Symposium on Computational Intelligence and Informatics N2 - In this paper, we describe an efficient method for a fast people re-identification based on models of human clothes. An initial model is estimated during people detection and tracking, which will be refined during the re-identification. This stepwise extraction, combination and comparing of features speeds up the whole re-identification. For the refining, several saliency maps are used to extract individual features. These individual features are located separately for any human body part. The body parts are located with an optimized GPU-based HOG detector. Furthermore, we introduce a meanshift-based fusion concept which utilizes multiple detectors in order to increase the detection reliability. Y1 - 2014 UR - https://ieeexplore.ieee.org/abstract/document/7028664 U6 - http://dx.doi.org/10.1109/CINTI.2014.7028664 SP - 137 EP - 142 ER - TY - JOUR A1 - Hommel, Sebastian A1 - Grimm, Matthias A1 - Malysiak, Darius A1 - Handmann, Uwe T1 - APFel - fast multi camera people tracking at airports, based on decentralized video indexing JF - Science2 - Safety and Security Y1 - 2014 SN - 2197-7240 IS - 2 ER - TY - CHAP A1 - Rabie, Ahmad A1 - Handmann, Uwe T1 - Multimodal biometrics for real-life person-specific emotional human-robot-interaction T2 - IEEE International Conference on Robotics and Biomimetics 2014 (ROBIO 2014) N2 - Currently in home environments, robot assisting systems with emotion understanding ability are generally achieved in two several manners. The first is the implementing of such systems in such a way that they offer general services for all considered persons without considering privacy, special needs of their interaction partners. The second way is the targetting of such systems for merely one person. In this work we present a robot assisting system, which has both the abilities of assisting several persons at the same time and sustaining their privacy and security issues. The robot can interact with it's interaction partner emotionally by analyzing the emotions of her expressed either visually, facial expression, or auditive, speech prosody. The role of this system is the providing of person-specific support in home environment. In order to identify its interaction partner the system uses diverse biometric traits. According to the recognized ID the system, first, adopts towards the needs of recognized person. Second the system loads the corresponding emotional profile of the detected interaction partner in order to practice a person-specific emotional human-robot interaction, which has an advantage over the person independent interaction. Y1 - 2014 UR - https://ieeexplore.ieee.org/abstract/document/7090354 U6 - http://dx.doi.org/10.1109/ROBIO.2014.7090354 SP - 344 EP - 349 ER -