Synergetic brain model for human-like motion patterns recognition

The ability of human brain in making decisions based on the available information stored in the memory and the information provided through cognitive process are the motivations of simulating human intelligence. This paper presents a brain model able to recognize biological behavioral patterns of human locomotion using synergetic approach. Two human-like motion patterns are studied here: slow and fast walking patterns. These patterns are generated by Central Pattern Generators (CPGs) using coupled non-linear oscillators of Van Der Pol (VDP). Each pattern is represented by an order parameter. During the recognition process a competition takes place between these order parameters. The proposed brain model recognizes the motion pattern represented by the winner order parameter.