Gesture Recognition Based on Kinect

被引：0
|
作者：
Liu, Yunda [1 ]
Dong, Min [1 ]
Bi, Sheng [1 ]
Gao, Dakui [1 ]
Jing, Yuan [1 ]
Li, Lan [1 ]
机构：
[1] South China Univ Technol, Sch Comp Sci Engn, Guangzhou 510641, Guangdong, Peoples R China
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER) | 2016年
关键词：
Human Computer Interaction; Kinect; gesture recognition; skeleton tracking; depth image; AMERICAN SIGN-LANGUAGE;
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：
With the rapid development of computer science, gesture recognition has been a highlight of research in the area of Human Computer Interaction (HCI). Generally speaking, gesture recognition can be divided into two types: static gesture recognition and dynamic gesture recognition. Under the background of the aging population, how to use the method of gesture recognition to help the elderly adapt to "Intelligent Age" is a meaningful issue, which deserves more attention. This paper describes a gesture recognition method based on Kinect, a 3D somatosensory camera sensor. This method involves skeleton tracking, where the skeleton data is produced from the depth images obtained via Kinect. Extensive experiments demonstrate the superior performance of the proposed methods over Kinect.
引用
收藏
页码：343 / 347
页数：5
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