Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

Design and Implementation of College Physical Fitness Test Management System based on the Identification of Key Points of the Human Body

Authors
Yujia Cao1, *, Xiaohui Guan1, Fenghao Chen2, Yuanxia He1
1School of Information Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou, China
2School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China
*Corresponding author. Email: 1466282713@qq.com
Corresponding Author
Yujia Cao
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_53How to use a DOI?
Keywords
key point identification; physical fitness test for college students; WEB system
Abstract

At present, physical fitness test, as a course that must be completed by students in major colleges and universities across the country, the problem of insufficient manpower, material resources and inaccurate measurement accuracy caused by manual measurement methods is a thorny problem faced by major universities. This system mainly analyzes the functional needs of physical fitness test in major universities, and develops a physical fitness test management system for colleges and universities by applying human body key point identification technology, SSM technology, and front-end and back-end separation technology. The score collection of this system is based on the pose detection technology of key points of the human body, and the design by the top-down is used to directly realize the performance detection function of the physical fitness test project, and equip WEB system which is used to improve the efficiency of the physical fitness test. The front end of the WEB system is developed based on the B/S architecture, through Vue + Element UI to build pages, the back end uses Spring+Springboot+MybatisPlus to build, the front and back end communicate through the Realful API interface, Shiro+Jwt technology is used to verify user identity and permission management, Echarts is used to achieve data visualization, and real-time data display is realized through WebSocket technology. In a real sense, it realizes efficient physical fitness test and fully meets the physical fitness test needs of college students.

Copyright
© 2022 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 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
10.2991/978-94-6463-108-1_53
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_53How to use a DOI?
Copyright
© 2022 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

TY  - CONF
AU  - Yujia Cao
AU  - Xiaohui Guan
AU  - Fenghao Chen
AU  - Yuanxia He
PY  - 2022
DA  - 2022/12/30
TI  - Design and Implementation of College Physical Fitness Test Management System based on the Identification of Key Points of the Human Body
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 457
EP  - 467
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_53
DO  - 10.2991/978-94-6463-108-1_53
ID  - Cao2022
ER  -