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Driver fatigue detection : A survey
16 references·0 citing·31 second hop
Driver fatigue detection : A survey (2009)Driver fatigue detection : A surveyDriver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies (2009)Driver fatigue: The importanc…Using EEG spectral components to assess algorithms for detecting fatigue (2008)Using EEG spectral components…Driver Fatigue Detection Based on Eye Tracking (2008)Driver Fatigue Detection Base…Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time Nonintrusive Monito…The hazards and prevention of driving while sleepy (2003)The hazards and prevention of…Fatigue and individual differences in monotonous simulated driving (2003)Fatigue and individual differ…Development of an algorithm for an EEG-based driver fatigue countermeasure (2003)Development of an algorithm f…Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Real-Time Eye, Gaze, and Face…Driver fatigue: Electroencephalography and psychological assessment (2002)Driver fatigue: Electroenceph…A drowsy driver detection system for heavy vehicles (2002)A drowsy driver detection sys…Unobtrusive drowsiness detection by neural network learning of driver steering (2001)Unobtrusive drowsiness detect…Electroencephalography Activity Associated with Driver Fatigue: Implications for a Fatigue Countermeasure Device (2001)Electroencephalography Activi…A critical review of the psychophysiology of driver fatigue (2001)A critical review of the psyc…EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT (1998)EVALUATION OF TECHNIQUES FOR …Research on vehicle-based driver status/performance monitoring: Development, validation, and refinement of algorithms for detection of driver drowsiness (1994)Research on vehicle-based dri…RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT (1994)RESEARCH ON VEHICLE-BASED DRI…Quantification of Sleepiness: A New Approach (1973)Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations (1985)Subjective and Objective Sleepiness in the Active Individual (1990)A probabilistic framework for modeling and real-time monitoring human fatigue (2006)Cognitive Cars: A New Frontier for ADAS Research (2011)Efficient driver drowsiness detection at moderate levels of drowsiness (2012)An overview of sleepiness and accidents (1995)Sleep related vehicle accidents (1995)A driver fatigue recognition model based on information fusion and dynamic Bayesian network (2010)EEG signal analysis for the assessment and quantification of driver’s fatigue (2010)Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data (2016)The Relaxation Response (1974)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Stress, Workload, and Fatigue (2000)Monotony of road environment and driver fatigue: a simulator study (2003)The Effects of Coffee and Napping on Nighttime Highway Driving (2006)EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions (2011)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)Estimating Driving Performance Based on EEG Spectrum Analysis (2005)Driver performance in the moments surrounding a microsleep (2007)A Driver Face Monitoring System for Fatigue and Distraction Detection (2013)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Driver Fatigue Detection Systems: A Review (2018)Electroencephalographic study of drowsiness in simulated driving with sleep deprivation (2004)Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired? (2008)Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator (2011)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Driver drowsiness detection with eyelid related parameters by Support Vector Machine (2008)On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes (2009)
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References

  • 2001A critical review of the psychophysiology of driver fatigue1,008 cited
  • 2004Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue752 cited
  • 2008Using EEG spectral components to assess algorithms for detecting fatigue733 cited
  • 2002Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance561 cited
  • 2002Driver fatigue: Electroencephalography and psychological assessment533 cited
  • 2009Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies464 cited
  • 2003Development of an algorithm for an EEG-based driver fatigue countermeasure352 cited
  • 1994RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT261 cited
  • 1998EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT259 cited
  • 2002A drowsy driver detection system for heavy vehicles190 cited
  • 1994Research on vehicle-based driver status/performance monitoring: Development, validation, and refinement of algorithms for detection of driver drowsiness182 cited
  • 2003Fatigue and individual differences in monotonous simulated driving172 cited
  • 2003The hazards and prevention of driving while sleepy157 cited
  • 2001

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Electroencephalography Activity Associated with Driver Fatigue: Implications for a Fatigue Countermeasure Device
114 cited
  • 2008Driver Fatigue Detection Based on Eye Tracking110 cited
  • 2001Unobtrusive drowsiness detection by neural network learning of driver steering109 cited
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