View Invariant Hand Gesture Recognition using 3D Trajectory

被引：7
|
作者：
Yuan, Ruifeng [1 ]
Cheng, Jun [1 ]
Li, Pengcheng [1 ]
Chen, Guang [1 ]
Xie, Can [1 ]
Xie, Qi [1 ]
机构：
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China
来源：
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词：
view invariant; gesture recognition; 3D hand gesture; HMM;
D O I：
10.1109/WCICA.2010.5554362
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we propose a view invariant hand gesture recognition algorithm based on the assumption that the gesture trajectory is almost in a plane, which we call principal gesture plane. We use Least Squares Method to estimate the plane and project the 3D trajectory onto it. The viewpoint-dependent problem is solved by the projection. HMMs are chosen to model the gestures. We have evaluated the algorithm with two experiments from different viewpoints. The results are promising with average recognition rate at 93.4% and 93.7%.
引用
收藏
页码：6315 / 6320
页数：6
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