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Dynamic light collection system based on human posture estimation application in martial arts action teaching simulation

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Abstract

At present, the traditional martial arts teaching method has some problems, such as unstable teaching effect, difficult to quantify, etc. This study aims to use optical technology to improve the effect of martial arts movement teaching. This paper introduces the basic principle and related techniques of human body pose estimation. By analyzing the posture information of the human body, it can accurately capture the movement posture of the students during the martial arts movement, and feed back to the teachers and students in real time. In this paper, a dynamic light acquisition system is designed to capture students' posture information by installing corresponding cameras and sensors in the teaching space. By analyzing and processing the images captured by the camera, the students' posture features can be extracted effectively. Then, according to the characteristics of martial arts movement teaching, the corresponding simulation system is designed. In this system, teachers and students can use virtual reality devices to interact, observe and analyze students' gestures in real time, and make corresponding adjustments and guidance. The conclusion shows that the dynamic light acquisition system based on human body pose estimation has significant advantages in martial arts movement teaching, it can accurately capture students' movement posture and provide real-time feedback and guidance for teachers and students. The application of this technology is expected to improve the effectiveness and quality of martial arts teaching and provide students with a better learning experience.

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LY has done the first version, GL and GQ has done the simulations. All authors have contributed to the paper’s analysis, discussion, writing, and revision.

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Correspondence to Guo Li.

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Yamei, L., Li, G. & Qiang, G. Dynamic light collection system based on human posture estimation application in martial arts action teaching simulation. Opt Quant Electron 56, 376 (2024). https://doi.org/10.1007/s11082-023-05877-4

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