The construction of college students' sports health management service platform based on artificial intelligence

被引：0
作者：
Yu Zhang
机构：
[1] Zhejiang College of Security Technology,Department of Social Science Foundation
来源：
International Journal of System Assurance Engineering and Management | 2022年 / 13卷
关键词：
The combination of sports and medicine; Health management service platform; Artificial intelligence; College students;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The purpose is to further promote the healthy development of college students' physique, realize the monitoring of students' physique health management at any time, and then comprehensively ensure and promote the improvement and development of students' physique health level. From the perspective of artificial intelligence, the advantages of Internet technology in the field of sports are utilized to build a data chain system with college students' physical health test data as the core and the National Students' Physical Health Standard (Revised in 2014) as the benchmark, and build a college students' sports health management service platform. The platform constructed collects the physique health data of college students for online sorting and analysis, carries out multi-dimensional physical health evaluation and diagnosis for individual or class students, and forms a personalized, scientific and comprehensive exercise prescription intervention mechanism to ensure and promote the healthy development of students' physique. Meanwhile, the view of "combination of sports and medicine" is put forward, which mainly refers to how to combine medicine and sports in life, learning and teaching. Therefore, it is essential to introduce the health management service system into colleges. Health management is not a simple intervention for students, and the most crucial thing is to cultivate students' health awareness of lifelong exercise and make them benefit for life.
引用
收藏
页码：1102 / 1110
页数：8
相关论文
共 52 条
[11]  
Balcombe L(2021)Design of sports course management system based on multi-core embedded system and motion capture[J] Microproccess Microsyst 82 103924-60
[12]  
De Leo D(2019)Marketing artificial intelligence: creating the AI archetype for evoking the personality trust[J] Acad Mark Stud J 23 1-735
[13]  
Chen Z(2020)Adoption of cloud based e-learning in developing countries: a combination a of DOI, TAM and UTAUT[J] Int J Contemp Manag Inf Technol 1 1-1100
[14]  
Xiao C(2020)Artificial intelligence and education in China[J] Learn Media Technol 45 298-615
[15]  
Qiu H(2020)A vulnerability analysis: theorising the impact of artificial intelligence decision-making processes on individuals, society and human diversity from a social justice perspective[J] Comput Law Secur Rev 38 105429-455
[16]  
De Mello FL(2019)Artificial intelligence: a survey on evolution, models, applications and future trends[J] J Manage Anal 6 1-386
[17]  
de Souza SA(2021)Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods[J] Interact Learn Environ 29 142-undefined
[18]  
Farrokhi A(2021)New interpretation of extracurricular activities via social networking sites: a case study of artificial intelligence learning at a secondary school in Hong Kong[J] J Educ Train Stud 9 49-undefined
[19]  
Farahbakhsh R(2020)Attributions of ethical responsibility by Artificial Intelligence practitioners[J] Inf Commun Soc 23 719-undefined
[20]  
Rezazadeh J(2021)Design and Implementation of Intelligent Sports Training System for College Students' Mental Health Education[J] Front Psychol 12 1016-undefined
123456