Exercise Fatigue Detection Algorithm Based on Video Image Information Extraction
IEEE Access, 2020 Excessive psychological pressure, long working hours, and excessive labor intensity can make people exhausted and affect people's cognition and motor function.
Fan Zhang, Feng Wang
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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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Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Face and Eye Tracking
ARO-The Scientific Journal of Koya University, 2022 It is critical today to provide safe and collision-free transport. As a result, identifying the driver’s drowsiness before their capacity to drive is jeopardized.
Sarah S. Jasim +2 more
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Effects of saccadic and scent stimulations on driver attentiveness in automated driving systems
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2023 Level 3 automated driving requires a driver to operate a vehicle in response to a takeover request according to the Society of Automotive Engineers; therefore, the driver should maintain a state of wakefulness.
Toshiya HIROSE +2 more
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A LightGBM-Based EEG Analysis Method for Driver Mental States Classification [PDF]
, 2019 Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and families. Recently, electroencephalography- (EEG-) based physiological and brain activities for fatigue detection have been increasingly investigated ...
Babiloni, Fabio +7 more
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Real Time Driver Fatigue Detection System Based on Multi-Task ConNN
IEEE Access, 2020 Changes and progresses in information technologies have played an important role in the development of intelligent vehicle systems in recent years. Driver fatigue is an important factor in vehicle accidents.
Burcu Kir Savas, Yasar Becerikli
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Fatigue State Detection Based on Multi-Index Fusion and State Recognition Network
IEEE Access, 2019 Fatigued driving detection in complex environments is a challenging problem. This paper proposes a fatigued driving detection algorithm based on multi-index fusion and a state recognition network, for further analysis of driver fatigue states. This study
Yingyu Ji +4 more
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Workers’ Aging Management—Human Fatigue at Work: An Experimental Offices Study
Applied Sciences, 2020 The aging issue in the work context is becoming a significant element of the future sustainability of service and industrial companies. It is well known that with increasing worker age the problem of maintaining the performance and the safety level when ...
Marcello Fera +5 more
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Control task substitution in semi-automated driving: does it matter what aspects are automated? [PDF]
, 2012 Objective: The study was designed to show how driver attention to the road scene and engagement of a choice of secondary tasks are affected by the level of automation provided to assist or take over the basic task of vehicle control. It was also designed
de Waard D. +9 more
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Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions [PDF]
, 2013 Previous research has indicated that high levels of vehicle automation can result in reduced driver situation awareness, but has also highlighted potential benefits of such future vehicle designs through enhanced safety and reduced driver workload.
A. Hamish Jamson +33 more
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