Utilizing AI and IoT technologies for identifying risk factors in sports

A dynamic cooperation is poised to redefine the limits of athlete safety and performance optimization in the dynamic field of sports science. A new age in sports analysis is promised by the combination of artificial intelligence (AI) and the internet of things (IoT), one in which data-driven insight...

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Veröffentlicht in:	Heliyon Jg. 10; H. 11; S. e32477
Hauptverfasser:	Chen, Zhiling, Dai, Xinghong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 15.06.2024 Elsevier
Schlagworte:	artificial intelligence Athlete safety athletic performance decision making Internet IoT Performance optimization risk Risk factor identification Scaled conjugate gradient algorithm Sports analytics symbiosis Athlete safety Risk factor identification AI Sports analytics Performance optimization Scaled conjugate gradient algorithm IoT
ISSN:	2405-8440, 2405-8440
Online-Zugang:	Volltext
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