Research on the Recognition Algorithm of Body Posture ELM Registration Model Based on Kinect

Abstract

Aiming at the problems of low recognition accuracy and low real-time in the existing human motion recognition in the complex background, a registration model recognition algorithm of human posture limit learning machine(ELM) is proposed, which uses Kinect measurement to calculate the joint association angle. Through Kinect, the spatial coordinates of human joints are obtained. Then, three-point method is used to calculate the correlation angle of human joints, and the elm registration model corresponding to the correlation angle of the target attitude joints is defined. Finally, the movement recognition test of the elm registration model of human body posture is carried out with the joint correlation angle calculated based on Kinect real-time measurement. The experimental results show that this method has high real-time and accuracy, strong robustness and generalization ability, and can identify more pose by defining more joint angles of target pose to establish elm registration model of human pose.