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Data Acquisition of Exercise and Fitness Pressure Measurement Based on Artificial Intelligence Technology

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成果类型:
期刊论文
作者:
Liu, Ru;Shen, Wenxi
通讯作者:
Shen, WX
作者机构:
[Liu, Ru] Hunan City Univ, Coll Phys Educ, Yiyang 413000, Hunan, Peoples R China.
[Shen, Wenxi] Soochow Univ, Soochow Coll, Suzhou 215006, Jiangsu, Peoples R China.
通讯机构:
[Shen, WX ] S
Soochow Univ, Soochow Coll, Suzhou 215006, Jiangsu, Peoples R China.
语种:
英文
关键词:
Artificial intelligence;Basketball;Exercise;Fitness pressure measurement;Health stress;Machine learning;Sports;Wearable sensors
期刊:
SLAS Technology
ISSN:
2472-6303
年:
2025
卷:
33
页码:
100328
基金类别:
Hunan Provincial Philosophy and Social Science Foundation Youth Project "Research on Digital Vulnerable Groups Sharing National Fitness Intelligent Service" [24YBQ144]
机构署名:
本校为第一机构
院系归属:
体育学院
摘要:
This project aims to improve the accuracy of fitness and physical pressure ratings, focusing on basketball, by integrating artificial intelligence (AI) into data collection and training. Athletes and fitness fanatics can benefit greatly from the data collected using complex AI algorithms to determine stress levels. This study employs the Intelligent Physiological Monitoring Framework for Exercise and Fitness Pressure Measurement (IPM-EFPM) to perform automated stress tests that employ AI to enhance the precision of exercise and fitness pressure measurements. Basketball training programs can be...

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