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Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing
16 references·1 citing·34 second hop
Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing (2020)Multimodal System to Detect Driver Fatigu…Utilization of a combined EEG/NIRS system to predict driver drowsiness (2017)Utilization of a combined EEG…A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability (2017)A Hybrid Approach to Detect D…Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Recent Trends in Driver Safet…Driver Behavior Analysis for Safe Driving: A Survey (2015)Driver Behavior Analysis for …Detecting Driver Drowsiness Based on Sensors: A Review (2012)Detecting Driver Drowsiness B…Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Driver Inattention Monitoring…Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)Applying neural network analy…A driver fatigue recognition model based on information fusion and dynamic Bayesian network (2010)A driver fatigue recognition …Predicting driver drowsiness using vehicle measures: Recent insights and future challenges (2009)Predicting driver drowsiness …Driver drowsiness detection with eyelid related parameters by Support Vector Machine (2008)Driver drowsiness detection w…Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Validation of the Karolinska …Individual differences in subjective and objective alertness during sleep deprivation are stable and unrelated (2003)Individual differences in sub…A critical review of the psychophysiology of driver fatigue (2001)A critical review of the psyc…The impact of work practices on fatigue in long distance truck drivers (1996)The impact of work practices …Relations Between Performance and Subjective Ratings of Sleepiness During a Night Awake (1994)Relations Between Performance…Subjective and Objective Sleepiness in the Active Individual (1990)Subjective and Objective Slee…Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation (2022)Challenges of Driver Drowsine…Toward machine emotional intelligence: analysis of affective physiological state (2001)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Drowsiness detection using heart rate variability (2016)Detection and prediction of driver drowsiness using artificial neural network models (2017)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)The Relaxation Response (1974)Using EEG spectral components to assess algorithms for detecting fatigue (2008)Measurement of Situation Awareness in Dynamic Systems (1995)Toward a Theory of Situation Awareness in Dynamic Systems (1995)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Driver behavior detection and classification using deep convolutional neural networks (2020)Sleep related vehicle accidents (1995)Driver fatigue: Electroencephalography and psychological assessment (2002)Automated Detection of Engagement Using Video-Based Estimation of Facial Expressions and Heart Rate (2016)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)The CES-D Scale (1977)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)Sleep Loss and Fatigue in Shift Work and Shift Work Disorder (2009)A manual for standardized terminology, techniques and scoring system for sleep stages in human subjects (1968)Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Detecting driver drowsiness using feature-level fusion and user-specific classification (2013)Driver drowsiness detection based on non-intrusive metrics considering individual specifics (2015)Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data (2016)Effects of visual and cognitive load in real and simulated motorway driving (2005)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)Driver Distraction Detection Methods: A Literature Review and Framework (2021)Driver Fatigue Detection Systems: A Review (2018)A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving (2019)Systematic Interindividual Differences in Neurobehavioral Impairment from Sleep Loss: Evidence of Trait-Like Differential Vulnerability (2004)Daytime Exposure to Bright Light, as Compared to Dim Light, Decreases Sleepiness and Improves Psychomotor Vigilance Performance (2003)Fatigue, sleep restriction and driving performance (2005)Subjective sleepiness, simulated driving performance and blink duration: examining individual differences (2006)
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References

  • 1990Subjective and Objective Sleepiness in the Active Individual3,088 cited
  • 2006Validation of the Karolinska sleepiness scale against performance and EEG variables1,013 cited
  • 2001A critical review of the psychophysiology of driver fatigue1,008 cited
  • 2012Detecting Driver Drowsiness Based on Sensors: A Review783 cited
  • 2011Driver Inattention Monitoring System for Intelligent Vehicles: A Review728 cited
  • 1994Relations Between Performance and Subjective Ratings of Sleepiness During a Night Awake423 cited
  • 2010Applying neural network analysis on heart rate variability data to assess driver fatigue418 cited
  • 2015Driver Behavior Analysis for Safe Driving: A Survey404 cited
  • 2010A driver fatigue recognition model based on information fusion and dynamic Bayesian network332 cited
  • 2008Driver drowsiness detection with eyelid related parameters by Support Vector Machine309 cited
  • 2017A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability285 cited
  • 2009Predicting driver drowsiness using vehicle measures: Recent insights and future challenges272 cited
  • 2003Individual differences in subjective and objective alertness during sleep deprivation are stable and unrelated257 cited
  • 2016Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges

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168 cited
  • 1996The impact of work practices on fatigue in long distance truck drivers162 cited
  • 2017Utilization of a combined EEG/NIRS system to predict driver drowsiness159 cited
  • Cited by

    • 2022Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation55 cited