A real-time applicable 3D gesture recognition system for automobile HMI
- 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.
| Author: | Thomas Kopinski, Stefan Geisler, Louis-Charles Caron, Alexander Gepperth, Uwe Handmann |
|---|---|
| URL: | https://ieeexplore.ieee.org/abstract/document/6958109/authors#authors |
| Parent Title (English): | 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2014 |
| Release Date: | 2019/06/27 |
| Institutes: | Fachbereich 1 - Institut Informatik |
| DDC class: | 000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft |
| Licence (German): |  No Creative Commons |
