Recognition of dynamic hand gesture based on SCHMM model

Authors:
Wenjun Tan;Chengdong Wu;Shuying Zhao;Shuo Chen
Affiliations:
College of Informatian Science and Engineering, Northeastern University, Shenyang, China;College of Informatian Science and Engineering, Northeastern University, Shenyang, China;College of Informatian Science and Engineering, Northeastern University, Shenyang, China;College of Informatian Science and Engineering, Northeastern University, Shenyang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

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.