Algorithm of Human Posture Action Recognition and Imitation for Robots

Abstract

This paper takes a view of human pose and action recognition to realize human-robot interaction.A part detector for each human body part is obtained by AdaBoost algorithm.With these detectors,several candidate regions for the corresponding body part are found.During the finding process,the position and orientation of parts are both considered.These candidate regions are evaluated by using several defined evaluation indexes in order to select an optimal one.Human pose recognition and action imitation are implemented by using a NAO robot as test bench,and NAO’s performance shows good spatial consistence and temporal consistence within its ability of operation.The result shows that the algorithm can effectively identify and imitate human posture.