Driver Fatigue Degree Detection Based on Eyes Opening and Closing Ratio

In the field of traffic safety, there is a growing need to measure driver fatigue degree. Fatigue is a complex physiological and psychological state, and the eye status can directly reflect the fatigue situation. It is important to define the appropriate metrics of the eye status and construct a detection model to identify the fatigue degree. This paper proposes a new fatigue degree detection method based on the eye opening and closing ratio and Gaussian Mixture Model. The discussion is supplemented by a brief case study highlighting the feasibility of the proposed approach.

Authors

Publication Details

Journal
IEEE Instrumentation & Measurement Magazine
Published
2025-05-01
DOI
https://doi.org/10.1109/mim.2025.10982115
Citations
2
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
4.24
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article

Driver Fatigue Degree Detection Based on Eyes Opening and Closing Ratio

Zhigao Lei, Qijie Zhao, Xianggang Wang
2 citations
IEEE Instrumentation & Measurement Magazine
Sleep and Work-Related Fatigue
4.24
article

Driver Fatigue Degree Detection Based on Eyes Opening and Closing Ratio

Zhigao Lei, Qijie Zhao, Xianggang Wang
article en
2 citations

Abstract

In the field of traffic safety, there is a growing need to measure driver fatigue degree. Fatigue is a complex physiological and psychological state, and the eye status can directly reflect the fatigue situation. It is important to define the appropriate metrics of the eye status and construct a detection model to identify the fatigue degree. This paper proposes a new fatigue degree detection method based on the eye opening and closing ratio and Gaussian Mixture Model. The discussion is supplemented by a brief case study highlighting the feasibility of the proposed approach.

IEEE Instrumentation & Measurement MagazineVol. 28(3)
Openalex Percentile: Top 7%
Sleep and Work-Related Fatigue
4.24
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