FAST HAND DETECTION AND GESTURE RECOGNITION

被引：0
|
作者：
Wang, Yuh-Rau [1 ]
Syu, Jia-Liang [2 ]
Li, Hsin-Ting [2 ]
Yang, Ling [3 ]
机构：
[1] St Johns Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan
[2] Tamkang Univ, Dept Elect Engn, Taipei, Taiwan
[3] St Johns Univ, Dept Mkt & Logist Management, Taipei, Taiwan
来源：
PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL. 1 | 2015年
关键词：
Discrete wavelet transform; Hand detection; Skin color detection; Gesture recognition;
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：
A fast hand detection and gesture recognition method is proposed in this paper. To reduce the computation time, we employ symmetric mask-based discrete wavelet transform (SMDWT) to reduce the image resolution and then utilize the extracted characteristics to perform hand detection and gesture recognition. The proposed method reduces about 66% of the overall computation time. Experimental results show that the proposed real time hand detection and gesture recognition methods can detect fast and accurately, and can be implemented on embedded system easily. The average gesture recognition rate is around 97.5%.
引用
收藏
页码：408 / 413
页数：6
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