{"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.