Physiological Signal-Based Methods for Fatigue Detection： A Review

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Research Review | 更新时间：2025-05-21

- Physiological Signal-Based Methods for Fatigue Detection： A Review
- “The latest research progress shows that fatigue detection technology based on physiological signals is of great significance in fields such as transportation, aerospace, and medicine, providing new ideas for improving human life safety.”
- Software Guide Vol. 24, Issue 5, Pages: 16-27(2025)
- 作者机构：
  
  1.上海理工大学光电信息与计算机工程学院，上海 200093
  2.海军军医大学心理系，上海200433
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.241299
  CLC： TP311
- Received：26 March 2024，
  
  Published：15 May 2025
- 稿件说明：
移动端阅览
沈慧娟,苏彤,徐静舟等.基于生理信号的体征疲劳检测方法综述[J].软件导刊,2025,24(05):16-27.

SHEN Huijuan,SU Tong,XU Jingzhou,et al.Physiological Signal-Based Methods for Fatigue Detection： A Review[J].Software Guide,2025,24(05):16-27.
沈慧娟,苏彤,徐静舟等.基于生理信号的体征疲劳检测方法综述[J].软件导刊,2025,24(05):16-27. DOI： 10.11907/rjdk.241299.

SHEN Huijuan,SU Tong,XU Jingzhou,et al.Physiological Signal-Based Methods for Fatigue Detection： A Review[J].Software Guide,2025,24(05):16-27. DOI： 10.11907/rjdk.241299.

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