Exploration of Chinese Sign Language Recognition Based on Surface EMG Signals and Its Action Normalization
Yang Ji-ha · Hangtian yixue yu yixue gongcheng · 2010
Objective To explore the feasibility of Chinese sign language(CSL) recognition based on surface electromyogram(SEMG) and to eliminate the effects on SEMG classification caused by subjective force differences when users perform hand gestures.Methods Thirty CSL alphabet gestures were presented as exemplification in the study.A set of gesture definition improvement and action normalization schemes were proposed for SEMG-based CSL recognition.According to the analysis of sign language gesture process,the experiments were conducted for 15 subjects in user-specific and user-independent classification sessions,on SEMG-based CSL alphabet recognition system under laboratory condition.Results The average recognition accuracies of 30 CSL alphabets were improved by 37% after user learned the action normalization schemes.Conclusion The proposed action normalization schemes can enhance the classification ability significantly.And the study provides a feasible method for realizing large vocabulary SEMG-based CSL recognition.