Dynamic Hand Gesture Classification Based on Radar Micro-Doppler Signatures

被引：0
|
作者：
Zhang, Shimeng [1 ]
Li, Gang [1 ]
Ritchie, Matthew [2 ]
Fioranelli, Francesco [3 ]
Griffiths, Hugh [2 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[2] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England
[3] Univ Glasgow, Sch Elect Engn, Glasgow, Lanark, Scotland
来源：
2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR) | 2016年
基金：
中国国家自然科学基金;
关键词：
hand gesture classification; micro-Doppler signatures; support vector machine; human-computer interaction; RECOGNITION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Dynamic hand gesture recognition is of great importance for human-computer interaction. In this paper, we present a method to discriminate the four kinds of dynamic hand gestures, snapping fingers, flipping fingers, hand rotation and calling, using a radar micro-Doppler sensor. Two micro-Doppler features are extracted from the time-frequency spectrum and the support vector machine is used to classify these four kinds of gestures. The experimental results on measured data demonstrate that the proposed method can produce a classification accuracy higher than 88.56%.
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页数：4
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