Results 11 to 20 of about 28,418 (263)
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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Bus driver fatigue: A qualitative study of drivers in London [PDF]
Applied Ergonomics, 2021 The research represents one of the first major qualitative studies to subjectively investigate fatigue amongst city bus drivers. Funded by TfL (grant no. 94050), the study considers the perspectives of both the bus drivers themselves and their managers.
Maynard, Sally +3 more
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A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion
IEEE Access, 2020 Researches on machine vision-based driver fatigue detection algorithm have improved traffic safety significantly. Generally, many algorithms do not analyze driving state from driver characteristics. It results in some inaccuracy.
Kening Li, Yunbo Gong, Ziliang Ren
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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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Driver Fatigue Level Prediction
International Journal of Computer Science and Mobile Computing, 2022 Public transport networks (PTNs) are difficult to use when the user is unfamiliar with the area they are traveling to. This is true for both infrequent users (including visitors) and regular users who need to travel to areas with which they are not acquainted.
Ankita P. Jadhav +3 more
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A Low-Cost Prototype for Driver Fatigue Detection
Multimodal Technologies and Interaction, 2019 Driver fatigue and inattention accounts for up to 20% of all traffic accidents, therefore any system that can warn the driver whenever fatigue occurs proves to be useful.
Tiago Meireles, Fábio Dantas
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Driver Fatigue Features Extraction [PDF]
Mathematical Problems in Engineering, 2014 Driver fatigue is the main cause of traffic accidents. How to extract the effective features of fatigue is important for recognition accuracy and traffic safety. To solve the problem, this paper proposes a new method of driver fatigue features extraction based on the facial image sequence.
Gengtian Niu, Changming Wang
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ComTech, 2015 Fatigue is a common situation experienced by everyone, but until now a simple measuring tools universally accepted is not exist. Fatigue measurement instrument most widely used is an instrument-based questionnaire.
Rida Zuraida
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Multimodal Transportation, 2023 To give full play to the role of fatigue supervision of intelligent monitoring platforms, We consider the shortage of the traditional management model of enterprises.
Li Xianghong +4 more
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