Paper Info
Title
Simulation of sports big data system based on Markov model and IoT system
Abstract
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.
Year
DOI
Venue
2021
10.1016/j.micpro.2020.103525
Microprocessors and Microsystems
Keywords
DocType
Volume
IoT system,Training,Rehabilitation,Recruitment,Data accuracy,Markov model
Journal
80
ISSN
Citations 
PageRank 
0141-9331
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Yuanling Zhou100.34
Xin Chen200.34