A real-time applicable 3D gesture recognition system for automobile HMI

Abstract : We present a system for 3D hand gesture recog-nition 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.
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Communication dans un congrès
IEEE International Conference On Intelligent Transportation Systems (ITSC), Oct 2014, Qingdao, China. pp.2616 - 2622, 2014, 〈10.1109/ITSC.2014.6958109〉
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Thomas Kopinski, Stefan Geisler, Louis-Charles Caron, Alexander Gepperth, Uwe Handmann. A real-time applicable 3D gesture recognition system for automobile HMI. IEEE International Conference On Intelligent Transportation Systems (ITSC), Oct 2014, Qingdao, China. pp.2616 - 2622, 2014, 〈10.1109/ITSC.2014.6958109〉. 〈hal-01098700〉

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