Recognition of Dynamic Hand Gesture Based on SCHMM Model

被引：3

作者：

Tan, Wenjun ^{[1
]}

Wu, Chengdong ^{[1
]}

Zhao, Shuying ^{[1
]}

Chen, Shuo ^{[1
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年

关键词：

Gesture Recognition; SCHMM; Human-computer Interaction;

D O I：

10.1109/CCDC.2009.5192851

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Dynamic gesture recognition is a key issue for visual gesture-based human-computer interaction. In this paper, a dynamic gesture recognition method is proposed based on SCHMM to solve the problem, which DHMM method is high speed and low rate and CHMM method is low speed and high rate. And the gesture clustering analysis, Baum-Welch algorithm of parametric estimation and Viterbi recognition algorithm is studied. Experiment result is given to show the balance performance of recognition rate and speed and the algorithm is satisfied for applications.

引用

页码：2430 / 2434

页数：5

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