%0 Journal Article %A DAI Zhi-Qiang %A DONG Jian-Feng %T Recognition of Human Behavior Based on Chaos Invariant and Relevance Vector Machine %D 2014 %R 10.3969/j.issn.1007-2985.2014.03.009 %J Journal of Jishou University(Natural Sciences Edition) %P 37-43 %V 35 %N 3 %X An algorithm is put forward for the recognition of human behavior based on chaos invariant characteristics and relevance vector machine(RVM).First,the motion track generated by the joints of human is extracted to represent the nonlinear system of human movement behavior   and C-C method is used to estimate the delay to obtain the dimension of phase space reconstituted by every motion track.Furthermore,the chaos invariant which represents human behavior is extracted from the phase space and RVM algorithm is used to recognize human behavior.Finally KTH,Weizmann human behavior database and ballet database are applied to test the effect of the algorithm,and the result proves that this method has the better recognition effect than others. %U https://zkxb.jsu.edu.cn/EN/10.3969/j.issn.1007-2985.2014.03.009