Recognition of dynamic hand gesture based on SCHMM model

Author

Tan, Wenjun ; Wu, Chengdong ; Zhao, Shuying ; Chen, Shuo

Author_Institution

Coll. of Informatian Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2009

fDate

17-19 June 2009

Firstpage

2430

Lastpage

2434

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.

Keywords

gesture recognition; hidden Markov models; human computer interaction; parameter estimation; Baum-Welch algorithm; SCHMM model; Viterbi recognition algorithm; dynamic hand gesture recognition; gesture clustering analysis; parametric estimation; semicontinuous Hidden Markov model; visual gesture-based human-computer interaction; Character recognition; Clustering algorithms; Educational institutions; Electronic mail; Hidden Markov models; Image recognition; Image sequences; Object recognition; Space technology; Speech recognition; Gesture Recognition; Human-computer Interaction; SCHMM;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5192851

Filename

5192851