Clustering Method Evaluation for Hidden Markov Model Based Real- Time Gesture Recognition

被引：2
|
作者：
Prasad, Jay Shankar [1 ]
Nandi, G. C. [1 ]
机构：
[1] Indian Inst Informat Technol, Robot & AI Lab, Allahabad, Uttar Pradesh, India
来源：
2009 INTERNATIONAL CONFERENCE ON ADVANCES IN RECENT TECHNOLOGIES IN COMMUNICATION AND COMPUTING (ARTCOM 2009) | 2009年
关键词：
Clustering; HMM; Gesture;
D O I：
10.1109/ARTCom.2009.99
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper deals with the development of high performance real-time system for complex dynamic gesture recognition. The various motion features are extracted from the video frames which are used by HMM classifier. We used several clustering techniques for performance evaluation of the classifier. Our system vectorises gestures into sequential symbols both for training and testing. We found very encouraging results and the proposed method has potential application in the field of human machine interaction.
引用
收藏
页码：419 / 423
页数：5
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