用人工智能赋予体育科学家在训练,表现和健康管理方面的能力
Nuno Mateus1,2,3, Eduardo Abade1,2,4, Diogo Coutinho1,3
1Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, 5000-801 Vila Real, Portugal.
Sensors (Basel, Switzerland)
|January 11, 2025
概括
人工智能 (AI) 通过优化训练负载,提高球员表现和管理福祉来增强体育科学. 未来的专业人士需要人工智能教育和跨学科的合作,以实现有效的整合.
科学领域:
- 运动科学 运动科学 运动科学
- 人工智能的人工智能
- 数据分析数据分析数据分析.
背景情况:
- 人工智能 (AI) 在体育科学领域的影响力越来越大.
- 人工智能为训练,表现和健康管理提供了先进的工具,特别是在团队运动中.
研究的目的:
- 检查人工智能在提升体育科学家能力方面的作用.
- 探索人工智能在训练负载管理,伤害预防,性能提升,人才识别和球员福祉方面的应用.
主要方法:
- 在各种体育科学方面对人工智能应用的审查.
- 分析实践示例,证明AI的影响.
- 讨论AI在优化负载,预防伤害和管理球员健康方面的作用.
主要成果:
- 人工智能显著提高了训练负载管理,伤害预防和回归游戏协议.
- 人工智能改善了体育表现分析,人才识别和监测训练外行为,睡眠和月经周期.
- 人工智能应用提供了有价值的见解,支持体育科学家的决策.
结论:
- 人工智能集成需要特定的,透明的应用程序和跨学科的合作.
- 学术机构必须更新课程,以包括未来体育专业人士的AI教育.
- 将人工智能驱动的洞察力与人类专业知识相平衡,对于最大限度地发挥人工智能在体育科学中的潜力至关重要.
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