中文体育类核心期刊

中国人文社会科学期刊AMI综合评价(A刊)核心期刊

《中文社会科学引文索引》(CSSCI)来源期刊

美国《剑桥科学文摘》(CSA)收录期刊

中国高校百佳科技期刊

SU Yanfeng, ZHAO Shenghui, LI Wenhao, ZHANG Wendong, ZHANG Mingxin. Frontier Advances, Dilemma Reflections and Optimization Strategies for Artificial Intelligence to Enhance Sports Performance[J]. Journal of Shanghai University of Sport, 2023, 47(2): 104-118. DOI: 10.16099/j.sus.2022.07.23.0001
Citation: SU Yanfeng, ZHAO Shenghui, LI Wenhao, ZHANG Wendong, ZHANG Mingxin. Frontier Advances, Dilemma Reflections and Optimization Strategies for Artificial Intelligence to Enhance Sports Performance[J]. Journal of Shanghai University of Sport, 2023, 47(2): 104-118. DOI: 10.16099/j.sus.2022.07.23.0001

Frontier Advances, Dilemma Reflections and Optimization Strategies for Artificial Intelligence to Enhance Sports Performance

  • Literature review is adopted to discuss the frontier progress and dilemma research in the field of artificial intelligence to enhance sports performance at home and abroad. It is found that current AI to enhance sports performance mainly focus on the systematization of training and monitoring, the visualization of competitive ability and strategies, the refinement of psychological training and monitoring, as well as the scientific sports injury prevention and treatment. So far there exist such problems as insufficient driving force for AI to enhance sports performance, weak technology and system support, the ethics risks, the separated "subjectivity" of body in sports, information security, and the lacking in legal support, etc. Hence optimization strategies based on theory and technical research and development are put forward as follows: to strengthen system and legal support as well as the ethics and information security so as to construct the theoretical support and policy context of the AI in sport; to solidify scientific innovation basis and integrate technologies to break through barriers and activate the innovation-driven sporting AI.
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