{"title":"Development and application of a sports health cloud management platform model based on internet of things technology","authors":"Wei Han, Xinyu Zhang","doi":"10.1002/itl2.431","DOIUrl":null,"url":null,"abstract":"<p>The real-time sports and physical sign data display of various intelligent sports equipment and software can provide help for professional athletes to formulate sports strategies. However, for those who do not have any special knowledge, visual data cannot help them to make correct sports plans. Based on the above problems, this paper designed and implemented a cloud computing platform that can collect the user's movement and physical sign information, so as to provide personalized sports prescription service for them. In the performance test of the platform, the experimental results showed that the 50% line response time value and 90% line response time value were the maximum when the number of test threads reaches 1000 and 900, and the maximum value was 2896 and 3136 ms respectively; when the number of test threads was 200, the minimum value was 86 and 132 ms. Therefore, it is very necessary to develop and apply the sports health CMP based on the Internet of Things (IoT) technology.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet Technology Letters","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/itl2.431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The real-time sports and physical sign data display of various intelligent sports equipment and software can provide help for professional athletes to formulate sports strategies. However, for those who do not have any special knowledge, visual data cannot help them to make correct sports plans. Based on the above problems, this paper designed and implemented a cloud computing platform that can collect the user's movement and physical sign information, so as to provide personalized sports prescription service for them. In the performance test of the platform, the experimental results showed that the 50% line response time value and 90% line response time value were the maximum when the number of test threads reaches 1000 and 900, and the maximum value was 2896 and 3136 ms respectively; when the number of test threads was 200, the minimum value was 86 and 132 ms. Therefore, it is very necessary to develop and apply the sports health CMP based on the Internet of Things (IoT) technology.
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