1.天津职业技术师范大学自动化与电气工程学院 天津 300222; 2.天津市信息传感与智能控制重点实验室 天津 300222
TN911.73
天津市科技支撑重点项目（20YFZCSY00600）、天津市教委科研计划项目（2021KJ011）、天津市科技计划项目（22ZYCGSN00480）、天津市教委科研计划项目（2022ZD009、2022ZD035、2022ZD036）、天津市研究生科研创新项目（2022SKY284）资助
Zhao 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
研究了一种用于肢体状态评估和运动姿态校正的人体运动分析系统。首先，针对人体运动时易出现的遮挡等问题，通过引入可变形注意力和生成对抗网络优化人体关键点热图位置检测，在Transformer的基础上设计了一种人体关键点识别算法。其次，利用所提出的算法，结合人体姿态的肢体空间约束关系以及体态分析相关知识，设计了一套运动分析系统。最后，通过在公共数据集上和真实场景中的测试，从质化和量化两个角度对所提出的算法和系统的可行性进行了评估实验。实验结果证明，本文算法在公共数据集上的检测精度最高可达937%；在实际场景的测试中，本文设计的算法和运动分析系统可以有效解决人体姿态识别中常见的遮挡等问题，并通过可视化系统展示了对人体运动姿态的多维度分析结果。
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.
孙文昊,路光达,秦转萍,郭庭航,赵壮壮.引入GAN与可变形注意力的多维人体运动分析[J].电子测量技术,2023,46(16):78-88
复制
