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从过去到未来:对评估体育活动能源消耗的方法进行审查

Xinmiao Zhang¹, Xiaoguang Gu², Miao Geng³

¹School of Physical Education, Shanghai University of Sport, Shanghai, 200438, China.

Journal of health, population, and nutrition

|October 30, 2025

概括

评估体力活动能量消耗 (PAEE) 已经发生了显著的变化. 目前使用人工智能,机器学习和计算机视觉的智能方法充满希望,但需要进一步的创新和道德考虑,以实现最佳的能源平衡管理.

科学领域:

运动生理学运动生理学
生物医学工程生物医学工程
医疗信息学医疗信息学

背景情况:

准确评估体力活动能耗 (PAEE) 对于保持能量平衡至关重要.
了解PAEE评估方法的技术演变,可以了解当前的进展和未来的方向.

研究的目的:

从技术角度系统地研究PAEE评估方法的历史演变.
综合最近在智能PAEE评估技术的进展.
确定PAEE评估的未来发展方向.

主要方法:

采用了一个叙事审查方法.
历史发展按时间顺序呈现.
通过对主要数据库 (Web of Science,PubMed,IEEE Xplore,CNKI) 的系统文献搜索,对PAEE评估的智能技术的最新进展进行了综合.

主要成果:

PAEE评估方法经历了三个历史时期的演变:最初的出现,逐渐的探索和稳定的发展.
当前PAEE评估的智能时代利用人工智能 (AI),主要是机器学习 (ML) 和计算机视觉 (CV).
存在缺陷,需要在技术创新,扩展应用场景和减轻伦理风险方面取得进展.

结论:

通过不同的历史阶段,PAEE评估取得了进展.
人工智能,特别是ML和CV,是当前智能PAEE评估的核心,但面临着挑战.
未来的努力必须优先考虑技术创新,更广泛的应用,以及PAEE评估中的AI的伦理风险管理.

关键词:

人工智能的人工智能是人工智能.评估方法评估方法计算机视觉计算机视觉计算机视觉能源支出能源支出机器学习是机器学习.身体活动身体活动

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