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Drowsiness detection system using eye aspect ratio technique [PDF]
, 2020 Transportation is widely used to allow user travel conveniently from place to place, for a personal of official purpose. Travel during peak hour or holiday, expose the driver to traffic jam for several hour, thus cause the drive to feel drowsy easily due
Ameen, Hussein Ali +5 more
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EEG-based driver fatigue detection using hybrid deep generic model [PDF]
, 2016 © 2016 IEEE. Classification of electroencephalography (EEG)-based application is one of the important process for biomedical engineering. Driver fatigue is a major case of traffic accidents worldwide and considered as a significant problem in recent ...
Chai, R +5 more
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Single channel wireless EEG device for real-time fatigue level detection [PDF]
, 2015 © 2015 IEEE. Driver fatigue problem is one of the important factors of traffic accidents. Recent years, many research had investigated that using EEG signals can effectively detect driver's drowsiness level.
Chuang, CH +8 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
doaj +1 more source
Accident Prevention by Detecting Drivers Fatigueness
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: Various studies indicate that fatigueness in drivers leads to road accidents. It can lead to serious injuries like brain damage or it can lead to death. Therefore preventing people from harming the countermeasure device is necessary as a reliable solution.
Kripanshu Singh +3 more
openaire +1 more source
Heterogeneous Signal Fusion Method in Driving Fatigue Detection Signals
Journal of Advanced Transportation, 2021 Driving fatigue is a physiological phenomenon that often occurs during driving. When the driver enters a fatigue state, they will become distracted and unresponsive, which can easily lead to traffic accidents.
Qingjun Wang, Zhendong Mu
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Fusion of EEG and Eye Blink Analysis for Detection of Driver Fatigue
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Objective: The driver fatigue detection using multi-channel electroencephalography (EEG) has been extensively addressed in the literature. However, the employment of a single prefrontal EEG channel should be prioritized as it provides users with more ...
Mohammad Shahbakhti +9 more
doaj +1 more source
Fatigue Driving Detection Method Based on IPPG Technology
Promet (Zagreb), 2023 Physiological signal index can accurately reflect the degree of fatigue, but the contact detection method will greatly affect the driver's driving. This paper presents a non-contact method for detecting tired driving. It uses cameras and other devices to
Jiuju Bi +3 more
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Odhad únavy člověka: využitelnost systémů dopravy ve vnitřním prostředí [PDF]
, 2018 Fatigue monitoring is nowadays domain in traffic and transportation (e.g. system for driver's sleepness monitoring in cars or in trains). People working in offices are affected by fatigue too, but there is no general system that is able to monitor it ...
Kohout, Jan, Mareš, Jan
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Vehicle Driver Monitoring through the Statistical Process Control
Sensors, 2019 This paper proposes the use of the Statistical Process Control (SPC), more specifically, the Exponentially Weighted Moving Average method, for the monitoring of drivers using approaches based on the vehicle and the driver’s behavior. Based on the SPC, we
Arthur N. Assuncao +4 more
doaj +1 more source