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Fuzzy based driver fatigue detection
2010 IEEE International Conference on Systems, Man and Cybernetics, 2010International statistics shows that large numbers of road accidents are caused due to driver fatigue. In this paper the authors tried to detect the fatigue of a person who is working under some stressful conditions like Driving. The principle of the proposed system is based on the facial image analysis for warning the driver of fatigue to prevent ...
Mandalapu Sarada Devi, Preeti R Bajaj
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Driver Fatigue Detection: A Survey
2006 6th World Congress on Intelligent Control and Automation, 2006Driver fatigue is an important factor in a large number of accidents. There has been much work done in driver fatigue detection. This paper presents a comprehensive survey of research on driver fatigue detection and provides structural categories for the methods which have been proposed.
null Qiong Wang +3 more
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Research on driver fatigue detection
MIPPR 2017: Pattern Recognition and Computer Vision, 2018Driver fatigue is one of the main causes of frequent traffic accidents. In this case, driver fatigue detection system has very important significance in avoiding traffic accidents. This paper presents a real-time method based on fusion of multiple facial features, including eye closure, yawn and head movement.
Chao Ouyang, Zhong Chen, Ting Zhang
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Driver Fatigue Detection Control System
2018 37th Chinese Control Conference (CCC), 2018In order to realize automatic on-line monitoring of driver fatigue state, four modules are mainly included in this system, which are image capture module, image preprocessing module, feature detection and extraction module and feature classification recognition module.
Fan Dachuan, Tang Xinxing
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EEG-based Driver Fatigue Detection
2013 Sixth International Conference on Developments in eSystems Engineering, 2013Fatigue is a gradual process leads to a slower reaction time. Fatigue is the major cause of road accidents around the globe. This paper proposes, implements and tests a system to detect fatigue based on Electroencephalogram (EEG) signal. The system produces fatigue index which is relevant to the level of subject's drowsiness. The input to the system is
Hamzah S. AlZu'bi +2 more
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Driver fatigue detection based on eye state
Technology and Health Care, 2015BACKGROUND: Nowadays, more and more traffic accidents occur because of driver fatigue. OBJECTIVE: In order to reduce and prevent it, in this study, a calculation method using PERCLOS (percentage of eye closure time) parameter characteristics based on machine vision was developed. It determined whether a driver's eyes were in a fatigue state according
Lizong, Lin +6 more
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Optimized driver safety through driver fatigue detection methods
2017 International Conference on Trends in Electronics and Informatics (ICEI), 2017Road accidents are prone to number human deaths. There are different reasons leads to road accidents, but drivers fatigue or distraction is main threat in major accidental cases. Therefore, recently various methods explained by many authors for early detection of driver drowsiness in order to prevent accidents on road. The methods are commonly known as
Omar Wathiq, Bhavna D. Ambudkar
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2016
Driver fatigue detection is a term used to develop a nonintrusive system which can detect fatigue of the driver and issue a timely warning. The idea behind this project is to monitor the driver’s eyes using a camera in real time and to develop algorithm that can detect driver fatigue.
Abdullah, Muhamad Hafiz +6 more
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Driver fatigue detection is a term used to develop a nonintrusive system which can detect fatigue of the driver and issue a timely warning. The idea behind this project is to monitor the driver’s eyes using a camera in real time and to develop algorithm that can detect driver fatigue.
Abdullah, Muhamad Hafiz +6 more
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Drivers Fatigue Detection Using EfficientDet In Advanced Driver Assistance Systems
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), 2021Modern cars have focused on road safety by guaranteeing driver, pedestrians, and other traffic object safety. Advanced driver assistance systems are a set of intelligent systems that support the driver by providing more information about the surrounding environment.
Riadh Ayachi +3 more
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Driver Fatigue Detection Systems: A Review
IEEE Transactions on Intelligent Transportation Systems, 2019Driver fatigue has been attributed to traffic accidents; therefore, fatigue-related traffic accidents have a higher fatality rate and cause more damage to the surroundings compared with accidents where the drivers are alert. Recently, many automobile companies have installed driver assistance technologies in vehicles for driver assistance.
Gulbadan Sikander, Shahzad Anwar
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