利用人工智能和物联网技术来识别体育中的风险因素
1School of Physical Education, University of South China, Hengyang, Hunan, China.
Heliyon
|July 4, 2024
概括
人工智能 (AI) 和物联网 (IoT) 的整合提高了运动员的安全性和表现. 这种协同作用提供了数据驱动的见解,以减少风险和优化体育科学中的运动潜力.
科学领域:
- 运动科学 运动科学 运动科学
- 数据分析数据分析数据分析.
- 在田径运动中的技术.
背景情况:
- 运动员安全和性能优化在现代体育运动中至关重要.
- 传统的数据收集和分析方法有其局限性.
- 数据的可用性越来越大,需要先进的分析工具.
研究的目的:
- 探索人工智能 (AI) 和物联网 (IoT) 在体育中的协同关系.
- 调查人工智能和物联网集成如何提高运动员安全.
- 通过数据驱动的洞察来检查AI和物联网在优化运动表现方面的潜力.
主要方法:
- 关于AI和物联网应用在体育科学中的当前文献的综述.
- 分析来自物联网设备的数据驱动洞察力.
- 探索用于性能和风险因素分析的AI算法.
主要成果:
- 人工智能和物联网的整合为全面的体育分析提供了强大的框架.
- 结合的技术可以积极识别运动员的风险因素.
- 数据驱动的洞察力可以改善培训和安全协议的决策.
结论:
- 人工智能和物联网的整合代表了体育科学中的变革性进步.
- 这种技术协同有望重新定义运动员安全和表现的标准.
- 未来的应用程序有可能创造一个更安全,更优化的体育环境.
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