Research on Action Recognition of Human Body Based on Kinect Sensor

Abstract:

An effective Human action recognition method based on the human skeletal information which is extracted by Kinect depth sensor is proposed in this paper. Skeleton’s 3D space coordinates and the angles between nodes of human related actions are collected as action characteristics through the research of human skeletal structure, node data and research on human actions. First, 3D information of human skeletons is acquired by Kinect depth sensors and the cosine of relevant nodes is calculated. Then human skeletal information within the time prior to current state is stored in real time. Finally, the relevant locations of the skeleton nodes and the variation of the cosine of skeletal joints within a certain time are analyzed to recognize the human motion. This algorithm has higher adaptability and practicability because of the complicated sample trainings and recognizing processes of traditional method is not taken up. The results of the experiment indicate that this method is with high recognition rate.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 4162-4166
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.4162
• Online since: September 2014
• Authors: Dan Dan Guo*, Xi’an Zhu
• Keywords: Action Recognition, Kinect Sensor, Node Angle, Skeleton Information

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