Title :
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
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;
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
DOI :
10.1109/CCDC.2009.5192851
