TY  - CHAP
U1  - Konferenzveröffentlichung
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  - 1931-0587
SS  - 1931-0587
SN  - 978-1-4673-7266-4
SB  - 978-1-4673-7266-4
U6  - https://doi.org/10.1109/IVS.2015.7225708
DO  - https://doi.org/10.1109/IVS.2015.7225708
VL  - 2015
SP  - 336
EP  - 342
S1  - 6
PB  - IEEE
ER  -