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设计一个实用的疲劳检测系统:对最近的发展和挑战的回顾

Md Abdullah Al Imran¹, Farnad Nasirzadeh², Chandan Karmakar¹

¹School of Information Technology, Faculty of Science Engineering & Built Environment, Deakin University, Australia.

Journal of safety research

|September 9, 2024

概括

使用可穿戴生理传感器进行客观的疲劳检测对于健康和安全至关重要. 本综述分析了当前的方法,确定了差距,并建议了未来的研究方向,用于现实世界的应用.

科学领域:

生物医学工程生物医学工程
生理监测生理监测
人类因素研究研究

背景情况:

疲劳对健康构成重大风险,是研究的关键领域.
可穿戴的生理传感器提供客观的疲劳评估,避免主观偏见和工作干扰.

研究的目的:

对利用生理信号的疲劳检测技术进行全面审查.
在客观疲劳检测方面确定关键成果,研究缺口和未来研究方向.

主要方法:

基于信号模式 (单模与多模) 的疲劳检测研究分类.
用于收集疲劳数据的实验环境的批判性分析.
对用于疲劳状态分类的机器学习模型的审查.

主要成果:

用于疲劳检测的单模和多模生理信号方法的概述.
分析各种实验环境及其对疲劳数据的影响.
对应于疲劳检测的机器学习算法的评估.

结论:

基于对现有研究的批判性分析,提出了未来的研究方向.
讨论了与现实世界客观疲劳检测相关的挑战.

关键词:

疲劳疲劳疲劳疲劳疲劳疲劳检测检测疲劳的检测方法疲劳监测疲劳监测疲劳监测机器学习是机器学习.精神疲劳精神疲劳精神疲劳身体疲劳导致的身体疲劳.生理学信号信号是一种生理学信号.传感器传感器传感器可穿戴式传感器传感器

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