Optimization of physical education and training system based on machine learning and Internet of Things

In order to improve the effect of physical education and training, this paper combines machine learning technology to identify sports training features and action prediction, and combines Internet of Things technology to process physical education and training data, and build a physical education an...

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Bibliographic Details
Published in:Neural computing & applications Vol. 34; no. 12; pp. 9273 - 9288
Main Authors: Wang, Chenhang, Du, Cong
Format: Journal Article
Language:English
Published: London Springer London 01.06.2022
Springer Nature B.V
Subjects:
Artificial Intelligence
Artificial neural networks
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Data collection
Data Mining and Knowledge Discovery
Education
Image Processing and Computer Vision
Internet of Things
Machine learning
Optimization
Physical education
Probability and Statistics in Computer Science
S.I.: AI-based Web Information Processing
Special Issue on AI-based Web Information Processing
Sports
Sports training
Training
Training
Internet of Things
Physical education
Machine learning
ISSN:0941-0643, 1433-3058
Online Access:Get full text
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Summary:In order to improve the effect of physical education and training, this paper combines machine learning technology to identify sports training features and action prediction, and combines Internet of Things technology to process physical education and training data, and build a physical education and training system based on machine learning and Internet of Things. In order to solve some shortcomings of the original extreme learning machine, this paper gradually optimizes the hidden layer mapping and parameter optimization to further improve the accuracy of prediction. Moreover, this paper uses the Internet of Things technology to achieve long-term uninterrupted data collection, and after the data have been processed to a certain extent, an extreme learning machine is used to predict the situation of sports training. Finally, this paper designs experiments to verify the performance of the system. The research results show that the physical education and training system constructed in this paper have certain practical effects and can optimize the physical education and training process.
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ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-021-06278-y