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.

引用

页码：654 / 658

页数：5