可穿戴传感器用于精确的运动监测和分析
Bo Su1, Fengyu Li1,2, Bingtian Su1
1School of Physical Education, Guangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China.
Biosensors
|November 26, 2025
概括
可穿戴式传感器通过对生理学,动力学,生物化学和动态维度的数据进行分类,提供先进的精确训练见解. 这个框架将测量转化为运动员和教练的可操作反,克服当前的局限性.
科学领域:
- 运动科学 运动科学 运动科学
- 生物医学工程 生物医学工程
- 人类运动科学科学 人类运动科学
背景情况:
- 对于精确训练的可穿戴传感器的采用正在增加.
- 目前的审查通常集中在设备或可行性上,缺乏实际的决策框架.
- 要将可穿戴数据整合到培训协议中,需要采用结构化的方法.
研究的目的:
- 为了组织可穿戴的传感维度 (生理,运动,生化,动态).
- 将这些维度映射到训练支柱 (物理,技术,战术) 上.
- 开发一个框架,将传感器测量转化为可操作的培训决策.
主要方法:
- 在体育运动中对可穿戴传感器应用进行系统审查和概念组织.
- 在四个监控维度中对传感器数据进行分类.
- 将传感器功能映射到三个关键的培训支柱.
主要成果:
- 可穿戴式传感数据可以在生理学,动力学,生物化学和动态领域进行结构化.
- 这些维度与身体,技术和战术训练目标保持一致.
- 关键的局限性包括信号强度,数据可变性,融合挑战和可访问性.
结论:
- 建议建立一个多维框架,以加强精密训练.
- 将传感器数据转化为可操作的指标需要质量控制,门和反循环.
- 未来的发展应侧重于可部署的精准训练生态系统,以提供明确的决策支持.
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