Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach [PDF]
Sensors, 2023 A large share of traffic accidents is related to driver fatigue. In recent years, many studies have been organized in order to diagnose and warn drivers. In this research, a new approach was presented in order to detect multi-level driver fatigue.
Mohammad Peivandi +3 more
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Driver Fatigue Detection using EEG Microstate Features and Support Vector Machines [PDF]
Journal of Biomedical Physics and EngineeringBackground: Driver fatigue detection is crucial for traffic safety. Electroencephalography (EEG) signals, which directly reflect the human mental state, provide a reliable approach for identifying fatigue.Objective: This study aimed to investigate the ...
Zahra Yaddasht +3 more
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Multiple entropy fusion predicts driver fatigue using forehead EEG [PDF]
Frontiers in NeuroscienceIntroductionOne promising research area in traffic safety involves the utilization of an Electroencephalogram (EEG)-based approach to assess driver fatigue in new automatic technology. However, the utilization of forehead channels for identifying fatigue
Renyu Yang +5 more
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Developing and evaluating a mobile driver fatigue detection network based on electroencephalograph signals [PDF]
Healthcare Technology Letters, 2016 The rapid development of driver fatigue detection technology indicates important significance of traffic safety. The authors’ main goals of this Letter are principally three: (i) A middleware architecture, defined as process unit (PU), which can ...
Jinghai Yin, Jianfeng Hu, Zhendong Mu
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Driver Fatigue Detection Using Heart Rate Variability Features from 2-Minute Electrocardiogram Signals While Accounting for Sex Differences [PDF]
SensorsTraffic accidents due to fatigue account for a large proportion of road fatalities. Based on simulated driving experiments with drivers recruited from college students, this paper investigates the use of heart rate variability (HRV) features to detect ...
Chao Zeng +6 more
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Structural analysis of driver fatigue behavior: A systematic review
Transportation Research Interdisciplinary Perspectives, 2023 Fatigue is always accompany with the driving task, which have been extensively investigated for driver monitoring and traffic safety. While many scholars dedicate to the study of fatigue detection methods with higher accuracy, but the basic correlation ...
Hui Zhang +5 more
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Drivers Fatigue Level Prediction Using Facial, and Head Behavior Information
IEEE Access, 2021 With driver fatigue continues to cause serious and deadly car and motorcycles accidents, the need for automatically recognizing driver fatigue and alerting the drivers is apparent.
Haider A. Kassem +2 more
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IEEE Access, 2021 Driver fatigue is an important contributor to traffic accidents, and driver fatigue is significant for the safety of people’s lives. Aiming to prevent traffic accidents caused by driver fatigue, a series of real driving experiments was carried out
Lin Wang, Hong Wang, Jintao Liu
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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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Modeling the effect of traffic jam on driver’s level of fatigue [PDF]
SHS Web of Conferences, 2019 This study focuses on establishing the dynamics of changes in the level of fatigue of an average driver in a traffic jam, which affects road safety. Linear and nonlinear models of the effect of traffic jam on the level of fatigue of an average driver ...
Gyulyev Nizami +3 more
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