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Optimization of HMM Parameters Based on Chaos and Genetic Algorithm for Hand Gesture Recognition
作者姓名:Liu Jianghua  Cheng Junshi & Chen Jiapin Information Storage and Research Center  Shanghai Jiaotong University  Shanghai  P. R. China
作者单位:Liu Jianghua,Cheng Junshi & Chen Jiapin Information Storage and Research Center,Shanghai Jiaotong University,Shanghai 200030,P. R. China
摘    要:In order to prevent standard genetic algorithm (SGA) from being premature, chaos is introduced into GA, thus forming chaotic anneal genetic algorithm (CAGA). Chaos' ergodicity is used to initialize the population, and chaotic anneal mutation operator is used as the substitute for the mutation operator in SGA. CAGA is a unified framework of the existing chaotic mutation methods. To validate the proposed algorithm, three algorithms, i. e. Baum-Welch, SGA and CAGA, are compared on training hidden Markov model (HMM) to recognize the hand gestures. Experiments on twenty-six alphabetical gestures show the CAGA's validity.


Optimization of HMM Parameters Based on Chaos and Genetic Algorithm for Hand Gesture Recognition
Liu Jianghua,Cheng Junshi & Chen Jiapin Information Storage and Research Center,Shanghai Jiaotong University,Shanghai ,P. R. China.Optimization of HMM Parameters Based on Chaos and Genetic Algorithm for Hand Gesture Recognition[J].Journal of Systems Engineering and Electronics,2002,13(4).
Authors:Liu Jianghua  Cheng Junshi  Chen Jiapin
Abstract:In order to prevent standard genetic algorithm (SGA) from being premature, chaos is introduced into GA, thus forming chaotic anneal genetic algorithm (CAGA). Chaos' ergodicity is used to initialize the population, and chaotic anneal mutation operator is used as the substitute for the mutation operator in SGA. CAGA is a unified framework of the existing chaotic mutation methods. To validate the proposed algorithm, three algorithms, i. e. Baum-Welch, SGA and CAGA, are compared on training hidden Markov model (HMM) to recognize the hand gestures. Experiments on twenty-six alphabetical gestures show the CAGA's validity.
Keywords:Chaos theory  Genetic algorithm  Hidden Markov model  Hand gesture recognition  
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