Dynamic Hand Gesture Early Recognition based on Hidden Semi-Markov Models

被引：0
作者：
Wang, Qianqian [1 ,2 ]
Xu, Yuanrong [2 ]
Chen, Yen-Lun [2 ]
Wang, Yong [1 ]
Wu, Xinyu [3 ,4 ]
机构：
[1] Univ Sci & Technol China, Hefei, Anhui, Peoples R China
[2] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen Key Lab Comp Vis & Pattern Recognit, Beijing, Peoples R China
[3] Chinese Acad Sci, Shenzhen Inst Adv Technol, Guangdong Prov Key Lab Robot & Intelligent Syst, Beijing, Peoples R China
[4] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Hong Kong, Hong Kong, Peoples R China
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014 | 2014年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Real-time performance can be greatly improved, if the early recognition is implemented. In this paper, a dynamic hand gesture early recognition system is proposed. The system can recognize the gesture before it is completed. Our method is based on the Hidden Semi-Markov Models. Three-dimensional information of the gesture trajectory collected by leapmotion is the main data we used. Experiments on the dataset which we established demonstrate the effectiveness of our method.
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页码：654 / 658
页数：5
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