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Frontiers in Sport Research, 2024, 6(4); doi: 10.25236/FSR.2024.060410.

Study on the influencing factors of exercise addiction in healthcare combined with generative artificial intelligence


Qingyuan Xie1,2

Corresponding Author:
Qingyuan Xie

1Jinan University, Guangzhou, 510632, China

2Gdansk University of Physical Education and Sport, Gdansk, 80-336, Poland


This review provides the overview of the role of healthcare combined with Artificial intelligence (AI) in motor inhibitor intervention and its related strategies. First, we introduced the concept and classification of motor inhibitory factors, including biological factors, psychosocial factors, and environmental factors. Secondly, we explore the current status of healthcare and AI in the study of the inhibitory factors of exercise, emphasizing the importance of AI in exercise assessment and intervention. Then, the influence mechanism of exercise inhibitory factors was analyzed and the intervention strategies based on AI were proposed, including intelligent device-assisted intervention, virtual reality technology-guided intervention, social network support intervention and data-driven continuous intervention. Finally, we summarize the advantages and prospects of AI-based intervention strategies for motor inhibitory factors and indicate future research directions.


health care; artificial intelligence; movement inhibitory factors; intervention strategy

Cite This Paper

Qingyuan Xie. Study on the influencing factors of exercise addiction in healthcare combined with generative artificial intelligence. Frontiers in Sport Research (2024) Vol. 6, Issue 4: 63-69. https://doi.org/10.25236/FSR.2024.060410.


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