A Method of Hand Gesture Recognition based on Multiple Sensors

摘要：

This paper presents a new method of gesture recognition based on multiple sensors fusion technique. Three kinds of sensors, namely surface Electromyography (sEMG) sensor, 3-axis accelerometer (ACC) and camera, are used together to capture the dynamic hand gesture firstly. Then four types of features are extracted from the three kinds of sensory data to depict the static hand posture and dynamic gesture trajectory characteristics of hand gesture. Finally decision-level multi-classifier fusion method is implemented for hand gesture pattern classification. Experimental results of 4 subjects demonstrate that each kind of sensor data has its advantages and disadvantages in representing hand gestures. And the proposed method could fuse effectively the complementary information from these three types of sensors for dynamic hand gesture recognition.

作者: Fan Wei Chen Xiang Wang Wen-hui Zhang Xu Yang Ji-hai Vuokko Lantz Wang Kong-qiao

作者单位: Electronic Sci.& Technol.Dept.Univ.of Sci.& Technol.of China, Hefei, PRC Multimodal Interaction Nokia Research Center Helsinki, Finland Nokia Research Center Nokia (China) Investment CO.,LTD.Beijing, PRC

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）