Research progress in fatigue detection

Abstract

Abstract: Fatigue perception has become a universal trend,and fatigue detection is a hot research direction in the field of safety. Effective fatigue detection is of great significance to personal health,social security and stability. The existing fatigue detection objects are mainly drivers and pilots. Fatigue detection based on physiological indicators or subjective reports has made good progress,but there are still shortcomings in the accuracy,sensitivity and practical application of fatigue detection. This paper summarizes the research progress of fatigue detection based on scale,electroencephalogram（EEG）,electrocardiogram（ECG）,electromyogram（EMG）,eye movement signal,respiration,pulse signal,blood oxygen signal and body characteristics from the perspectives of subjective evaluation,objective detection and multi-modal data fusion. At the same time,the application and shortcomings of existing fatigue detection methods are analyzed,and the development direction of fatigue detection in the future is discussed,which provides ideas and references for improving the accuracy and application value of fatigue detection.

Key words: Fatigue detection, Technology and methods, Physiological signal, Multimodality

CLC Number:

R181.3

OUYANG Anping, ZHANG Yuanbei, WU Lin, LI Yan, CAO Zhiyuan, FANG Peng. Research progress in fatigue detection. [J]OCCUPATION AND HEALTH, 2025, 41(15): 2149-2154.

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