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Research on fatigue detection based on visual features
IET Image Processing, 2022 The high incidence of traffic accidents brings immeasurable losses to life. In order to avoid such crises, researchers and automakers have used many methods to solve this problem.
Guangzhe Zhao +3 more
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Image-based Driver Alert System for Prevention of Fatigue-related Accidents [PDF]
E3S Web of Conferences, 2023 The objective of this project is to design a driver unconsciousness detection system using image processing to detect drowsiness and unconsciousness in drivers, thereby preventing accidents resulting from driver fatigue.
Reddy G. Vijendar +5 more
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Driver fatigue detection using Raspberry-Pi
Indonesian Journal of Electrical Engineering and Computer Science, 2023 <span>The subject of fatigue monitoring is becoming more important in transportation and traffic management (including, for instance, the development of systems to detect and prevent driver drowsiness). People who work in offices are also susceptible to exhaustion, but there is currently no widely deployed system that is able to monitor this ...
Mohd Fikri Azli Abdullah +5 more
openaire +2 more sources
Driving Detection Based on the Multifeature Fusion
Journal of Control Science and Engineering, 2022 In order to solve the problems of facial feature localization and driver fatigue state identification methods in driving fatigue detection, a driving detection method based on the multifeature fusion was proposed.
Qiufen Yang, Yan Lu
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Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation
Applied Sciences, 2021 Driver fatigue is the culprit of most traffic accidents. Visual technology can intuitively judge whether the driver is in the state of fatigue. A driver fatigue detection system based on the residual channel attention network (RCAN) and head pose ...
Mu Ye +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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Information, 2020 The effective detection of driver drowsiness is an important measure to prevent traffic accidents. Most existing drowsiness detection methods only use a single facial feature to identify fatigue status, ignoring the complex correlation between fatigue ...
Shuang Chen, Zengcai Wang, Wenxin Chen
doaj +1 more source
Fatigue State Detection for Tired Persons in Presence of Driving Periods
IEEE Access, 2022 Due to the increasing of traffic accidents, there is an urgent need to control and reduce driving mistakes. Driver fatigue or drowsiness is one of these major mistakes.
Riad Alharbey +4 more
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Video surveillance for monitoring driver's fatigue and distraction [PDF]
, 2012 Fatigue and distraction effects in drivers represent a great risk for road safety. For both types of driver behavior problems, image analysis of eyes, mouth and head movements gives valuable information.
Grisales, Victor +5 more
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Driver Drowsiness Detection System [PDF]
, 2016 In recent years’ driver fatigue is one of the major causes of vehicle accidents in the world. A direct way of measuring driver fatigue is measuring the state of the driver i.e. drowsiness. So it is very important to detect the drowsiness of the driver to
Sahoo, Chandraprakash
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