Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)

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Design of Juvenile Chain Boxing Scoring System Based on Deep Learning

Authors
Mingxuan Li1, *, Feng Tian2, Tianfeng Lu1, Shuting Ni1
1Shanghai Film Academy, Shanghai University, Shanghai, China
2Shanghai Film Special Effects Engineering Technology Research Center, Shanghai, China
*Corresponding author. Email: halfspring116@163.com
Corresponding Author
Mingxuan Li
Available Online 4 July 2023.
DOI
10.2991/978-94-6463-192-0_109How to use a DOI?
Keywords
Martial arts scoring; action quality evaluation
Abstract

Computer vision technology has significant implications for advancing martial arts education. The Ministry of Education aims to integrate martial arts into the campus curriculum evaluation system as part of promoting martial arts culture. In 2016, Shanghai added martial arts as a subject to the senior high school entrance examination for the first time. The system introduced in this paper is designed to provide real-time feedback and objective assessment of martial arts movements, particularly in the context of the senior high school entrance examination in Shanghai. Unlike traditional exam scoring methods, this system utilizes computer vision technology, including human body pose estimation and action recognition, and is based on the Transformer architecture. The system provides accurate posture matching scores, feedback, and a guided juvenile chain boxing teaching system, which can improve learning efficiency and reduce assessment costs. The aim is to promote fair and objective sports scoring in the Entrance Examination and aid the Shanghai Wushu Sports Entrance Examination. The system has also been deployed in a client software for testing purposes.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 July 2023
ISBN
978-94-6463-192-0
ISSN
2667-128X
DOI
10.2991/978-94-6463-192-0_109How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mingxuan Li
AU  - Feng Tian
AU  - Tianfeng Lu
AU  - Shuting Ni
PY  - 2023
DA  - 2023/07/04
TI  - Design of Juvenile Chain Boxing Scoring System Based on Deep Learning
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 842
EP  - 847
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_109
DO  - 10.2991/978-94-6463-192-0_109
ID  - Li2023
ER  -