Sun Wenhao
1.School of Automation and Electrical Engineering，Tianjin University of Technology and Education, Tianjin 300222, China; 2.Tianjin Key Laboratory of Information Sensing and Intelligent Control, Tianjin University of Technology and Education，Tianjin 300222, ChinaLu Guangda
1.School of Automation and Electrical Engineering，Tianjin University of Technology and Education, Tianjin 300222, China; 2.Tianjin Key Laboratory of Information Sensing and Intelligent Control, Tianjin University of Technology and Education，Tianjin 300222, ChinaQin Zhuanping
1.School of Automation and Electrical Engineering，Tianjin University of Technology and Education, Tianjin 300222, China; 2.Tianjin Key Laboratory of Information Sensing and Intelligent Control, Tianjin University of Technology and Education，Tianjin 300222, ChinaGuo Tinghang
1.School of Automation and Electrical Engineering，Tianjin University of Technology and Education, Tianjin 300222, China; 2.Tianjin Key Laboratory of Information Sensing and Intelligent Control, Tianjin University of Technology and Education，Tianjin 300222, ChinaZhao Zhuangzhuang
1.School of Automation and Electrical Engineering，Tianjin University of Technology and Education, Tianjin 300222, China; 2.Tianjin Key Laboratory of Information Sensing and Intelligent Control, Tianjin University of Technology and Education，Tianjin 300222, China1.School of Automation and Electrical Engineering，Tianjin University of Technology and Education, Tianjin 300222, China; 2.Tianjin Key Laboratory of Information Sensing and Intelligent Control, Tianjin University of Technology and Education，Tianjin 300222, China
TN911.73
This paper studies a human motion analysis system for limb status assessment and motion posture correction. Firstly, to address the problems such as occlusion that are prone to occur during human motion, this paper introduces deformable attention and generative adversarial networks based on Transformer for optimal human key point location detection. Secondly, using the proposed algorithm, this paper designs a motion analysis system by combining the limb space constraint relationship of human posture and knowledge related to body posture analysis. Finally, through testing on public datasets and in real scenarios, this paper evaluates the feasibility of the proposed algorithm and system from both qualitative and quantitative perspectives in experiments. The experimental results prove that the detection accuracy of the algorithm in this paper can reach up to 937% on public datasets; in the tests on real scenes, the algorithm and the motion analysis system designed in this paper can effectively solve the common problems such as occlusion in human posture recognition, and show the multidimensional analysis results of human motion posture through the visualization system.
