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

被引：0
|
作者：
Kopinski, Thomas [1 ]
Geisler, Stefan [1 ]
Caron, Louis-Charles [2 ]
Gepperth, Alexander [2 ]
Handmann, Uwe [1 ]
机构：
[1] Univ Appl Sci, Hsch Ruhr West, D-46236 Bottrop, Germany
[2] ENSTA ParisTech, F-91762 Palaiseau, France
来源：
2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2014年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2616 / 2622
页数：7
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