Real-time Hand Gesture Recognition for Service Robot

摘要：

A real-time hand gesture recognition system is developed for human-robot interaction of service robot. The proposed system is mainly composed of two subsystems: one for gesture recognition, and the other for the classification of the gesture motion. The system first uses a cascade classifier to locate the potential hand region from video frame. Then, Gabor wavelets transformation is applied to extract the gesture features which are automatically recognized based on a bank of Support Vector Machines (SVMs). For the estimated motion trajectory of each gesture, we make a set of discrete symbols using vector quantization method and, this symbol sequence is fed into the Hidden Markov Model (HMM) in the gesture motion classification subsystem. Experimental results are shown finally.

关键词： Service Robot Gesture Recognition Support Vector Machine Hidden Markov Model Gabor Ttransformation

作者: Wang Ke Wang Li Li Ruifeng Zhao Lijun

作者单位: State Key Laboratory and Robotics and System, Harbin Institute of Technology, Harbin, Heilongjiang, 150080, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 2146-2149

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）