Openpose based motion posture evaluation system

Peilong Lu; Zhengyi Ma; Run Xue; Yan Li; Jiayin Zhu; Yuze Zhang

doi:10.1117/12.2673220

14 April 2023 Openpose based motion posture evaluation system

Peilong Lu, Zhengyi Ma, Run Xue, Yan Li, Jiayin Zhu, Yuze Zhang

Proceedings Volume 12613, International Conference on Computer Vision, Application, and Algorithm (CVAA 2022); 126130Q (2023) https://doi.org/10.1117/12.2673220
Event: International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 2022, Chongqing, China

Abstract

The implementation of the "double reduction" and "double increase" policy has been reflected in the physical education examination. Physical education exams add more difficult sports, such as basketball and soccer, which are more difficult than traditional sports, require higher posture, and require professional guidance. However, there is a shortage of physical education personnel in China, which is far from meeting the needs of schools. In response to the above problem this book proposes, a sports posture assessment system based on open pose algorithm. By comparing the assessor's pose with the standard pose, the matching of key frames is performed, and the method of calculating vector similarity is used to define the standardized evaluation criteria of sports pose for differentiated comparison. The system is proven to be effective in evaluating the motion stance and providing users with improvement suggestions to improve their performance.

Citation Download Citation

Peilong Lu, Zhengyi Ma, Run Xue, Yan Li, Jiayin Zhu, and Yuze Zhang "Openpose based motion posture evaluation system", Proc. SPIE 12613, International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 126130Q (14 April 2023); https://doi.org/10.1117/12.2673220

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