RETRACTED: Simulation of sports big data system based on Markov model and IoT system (Retracted article. See vol. 101, 2023)

被引:11
|
作者
Zhou, Yuanling [1 ]
Chen, Xin [1 ]
机构
[1] Hunan Univ Humanities Sci & Technol, Loudi 417000, Hunan, Peoples R China
关键词
IoT system; Training; Rehabilitation; Recruitment; Data accuracy; Markov model; PREDICTION MODEL;
D O I
10.1016/j.micpro.2020.103525
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
There are rapid changes in modern technology as well as sports that have influenced society and lifestyle. Today's professional sports organizations embrace techniques and data to improve the quality of sports. One of the hottest topics in the IT field is big data. The important thing is to analyze the valuable information to collect and use it for intelligent decision making and efficient operation. However, this development goes beyond equal competitive conditions. IoT is starting to improve the business's performance in the sports industry, where technology and data also play a major role. IoT systems with Markov Model have had a huge impact on the way to do things. These techniques nourish the sport, and the changes brought about to see play and competition by the way. Data generated by a large physical activity tracker (or wearable device) emphasizes personal sports, such as running, cycling, etc., with easy access to this proposed system by lifestyle athletes. They are introducing the use of sports and sports. Its IoT system is used for training, rehabilitation, recruitment, and even monitoring sports planning. Big data can offer the possibility of model changes. The Markov Model also emphasizes user privacy, data accuracy, and autonomous interpretation of information and sports athletes at the risk of big data.
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页数:5
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