Developing and evaluating a mobile driver fatigue detection network based on electroencephalograph signals [PDF]
Healthcare Technology Letters, 2016 The rapid development of driver fatigue detection technology indicates important significance of traffic safety. The authors’ main goals of this Letter are principally three: (i) A middleware architecture, defined as process unit (PU), which can ...
Jinghai Yin, Jianfeng Hu, Zhendong Mu
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Driver Fatigue Detection using EEG Microstate Features and Support Vector Machines [PDF]
Journal of Biomedical Physics and EngineeringBackground: Driver fatigue detection is crucial for traffic safety. Electroencephalography (EEG) signals, which directly reflect the human mental state, provide a reliable approach for identifying fatigue.Objective: This study aimed to investigate the ...
Zahra Yaddasht +3 more
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Driver Fatigue Detection Using Heart Rate Variability Features from 2-Minute Electrocardiogram Signals While Accounting for Sex Differences [PDF]
SensorsTraffic accidents due to fatigue account for a large proportion of road fatalities. Based on simulated driving experiments with drivers recruited from college students, this paper investigates the use of heart rate variability (HRV) features to detect ...
Chao Zeng +6 more
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TMU-Net: A Transformer-Based Multimodal Framework with Uncertainty Quantification for Driver Fatigue Detection [PDF]
SensorsDriving fatigued is a prevalent issue frequently contributing to traffic accidents, prompting the development of automated fatigue detection methods based on various data sources, particularly reliable physiological signals.
Yaxin Zhang +3 more
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YOLO-FDCL: Improved YOLOv8 for Driver Fatigue Detection in Complex Lighting Conditions [PDF]
SensorsAccurately identifying driver fatigue in complex driving environments plays a crucial role in road traffic safety. To address the challenge of reduced fatigue detection accuracy in complex cabin environments caused by lighting variations, we propose YOLO-
Genchao Liu, Kun Wu, Wei Lan, Yunjie Wu
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A dense multi-pooling convolutional network for driving fatigue detection [PDF]
Scientific ReportsDriver fatigue is one of the major causes of traffic accidents, particularly for drivers of large vehicles, who are more susceptible to fatigue due to prolonged driving hours and monotonous conditions during their journeys.
Qing Han +6 more
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Review of Research on Fatigue Driving Detection Based on Driver Facial Features [PDF]
Jisuanji kexue yu tansuo, 2023 Fatigue driving is one of the main factors that threaten the safety of drivers and traffic. Efficient and accurate fatigue driving detection method can effectively ensure the safety of drivers and their surrounding traffic, maintain traffic order, and ...
YANG Yanyan, LI Leixiao, LIN Hao
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Structural analysis of driver fatigue behavior: A systematic review
Transportation Research Interdisciplinary Perspectives, 2023 Fatigue is always accompany with the driving task, which have been extensively investigated for driver monitoring and traffic safety. While many scholars dedicate to the study of fatigue detection methods with higher accuracy, but the basic correlation ...
Hui Zhang +5 more
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IEEE Access, 2023 Fatigue detection has many applications, one of them is intelligent transportation for accident prevention. It is challenging to detect driver fatigue adopting photometric stereo and 3D fatigue-related facial action unit identification.
Gulbadan Sikander +4 more
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Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences
Applied Sciences, 2022 The research on driver fatigue detection is of great significance to improve driving safety. This paper proposes a real-time comprehensive driver fatigue detection algorithm based on facial landmarks to improve the detection accuracy, which detects the ...
Tianjun Zhu +7 more
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