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With rapid technological advancement, numerous scientific breakthroughs have emerged, and fatigue-related issues have been common. Accurate assessment of physical fatigue is paramount for preventive measures in life. Body fatigue is a subjective experience and is challenging to assess objectively. Heart Rate Variability (HRV) is derived from an electrocardiogram (ECG) and regulated by the autonomic nervous system. HRV is a promising indicator for estimating physical fatigue. Therefore, we propose a novel approach for the automatic and objective classification of physical fatigue based on HRV.

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Utilization of Intelligent Algorithms for Fatigue Detection

  • 会议论文

  • 发表日期：

    2025年

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  • Shih-Ming Wang,
  • I-Hsiang Hu,
  • Chung-Cheng Lin,
  • Chih-Hsien Cheng

摘要

With rapid technological advancement, numerous scientific breakthroughs have emerged, and fatigue-related issues have been common. Accurate assessment of physical fatigue is paramount for preventive measures in life. Body fatigue is a subjective experience and is challenging to assess objectively. Heart Rate Variability (HRV) is derived from an electrocardiogram (ECG) and regulated by the autonomic nervous system. HRV is a promising indicator for estimating physical fatigue. Therefore, we propose a novel approach for the automatic and objective classification of physical fatigue based on HRV.