Research On the Application of Big Data in Physical Fitness Test and Health Promotion of College Students

Huo Debao
{"title":"Research On the Application of Big Data in Physical Fitness Test and Health Promotion of College Students","authors":"Huo Debao","doi":"10.1109/TCS52929.2021.00076","DOIUrl":null,"url":null,"abstract":"With the in-depth development of information technology in our country, big data applications are becoming the future trend. This article is mainly based on the perspective of big data theory, exploring the related issues of college students' physical fitness test. Firstly, through the integration of college students' physical fitness test indicators and big data, integrating physical fitness test data for classified analysis, proofreading, and making relevant programs to promote physical and mental health. Secondly, SPSS19.0 statistical software was used to accurately measure the physical fitness data, and then a series of scientific and reasonable exercises were carried out accordingly. Finally, the long-term healthy development of college students can be promoted by comparing the results of the physical fitness test.","PeriodicalId":107652,"journal":{"name":"2021 International Conference on Information Technology and Contemporary Sports (TCS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information Technology and Contemporary Sports (TCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TCS52929.2021.00076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

With the in-depth development of information technology in our country, big data applications are becoming the future trend. This article is mainly based on the perspective of big data theory, exploring the related issues of college students' physical fitness test. Firstly, through the integration of college students' physical fitness test indicators and big data, integrating physical fitness test data for classified analysis, proofreading, and making relevant programs to promote physical and mental health. Secondly, SPSS19.0 statistical software was used to accurately measure the physical fitness data, and then a series of scientific and reasonable exercises were carried out accordingly. Finally, the long-term healthy development of college students can be promoted by comparing the results of the physical fitness test.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
大数据在大学生体质测试与健康促进中的应用研究
随着我国信息技术的深入发展,大数据应用正在成为未来的发展趋势。本文主要基于大数据理论的视角,探讨大学生体质测试的相关问题。首先,通过整合大学生体质测试指标与大数据,整合体质测试数据进行分类分析、校对,并制定相关方案,促进身心健康。其次,利用SPSS19.0统计软件对体质数据进行准确测量,并据此进行一系列科学合理的锻炼。最后,通过体质测试结果的比较,促进大学生的长期健康发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research of Effects of Intelligent Rope Skipping on BMI or Health-related Physical Fitness among Overweight Middle School Students and the Correlation Research on the Correlation between Body Mass Index and Physical Health Index of Medical College Students Research on the Construction of Integrated Sports and Medicine and Health Management Platform under the background of internet era Football mixed teaching design based on ADDIE model under Information Technology : ——Take kicking on the inside of the foot as an example Research on the Differential Changes in the Physical Health Level of General Higher Education Institutions Students in the Epidemic Era by Data Analysis Model Based on Independent Sample T-Test
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1