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Drowsy behavior detection based on driving information
9 references·1 citing·46 second hop
Drowsy behavior detection based on driving information (2016)Drowsy behavior detection based on drivin…DETECTION OF DRIVING FATIGUE BY USING NONCONTACT EMG AND ECG SIGNALS MEASUREMENT SYSTEM (2013)DETECTION OF DRIVING FATIGUE …Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier (2013)Detection of Driver Drowsines…Real-Time Detection of Drowsiness Related Lane Departures Using Steering Wheel Angle (2012)Real-Time Detection of Drowsi…Steering Wheel Behavior Based Estimation of Fatigue (2009)Steering Wheel Behavior Based…The hazards and prevention of driving while sleepy (2003)The hazards and prevention of…Unobtrusive drowsiness detection by neural network learning of driver steering (2001)Unobtrusive drowsiness detect…Counteracting driver sleepiness: Effects of napping, caffeine, and placebo (1996)Counteracting driver sleepine…Characteristics of crashes attributed to the driver having fallen asleep (1995)Characteristics of crashes at…Evaluation of driver drowsiness by trained raters (1994)Evaluation of driver drowsine…Drowsiness, Fatigue and Poor Sleep’s Causes and Detection: A Comprehensive Study (2019)Drowsiness, Fatigue and Poor …Quantification of Sleepiness: A New Approach (1973)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Eye gaze pattern analysis for fatigue detection based on GP-BCNN with ESM (2019)The detection of drowsiness using a driver monitoring system (2019)On-Road Detection of Driver Fatigue and Drowsiness during Medium-Distance Journeys (2021)Catastrophes, Sleep, and Public Policy: Consensus Report (1988)Patterns of sleep and sleepiness in adolescents. 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(2006)Subjective sleepiness is a sensitive indicator of insufficient sleep and impaired waking function (2014)A critical review of the psychophysiology of driver fatigue (2001)Fatigue, Sleepiness, and Performance in Simulated Versus Real Driving Conditions (2005)Detection and analysis: driver state with electrocardiogram (ECG) (2020)Vision-Based Fatigue Driving Recognition Method Integrating Heart Rate and Facial Features (2020)A Driving Fatigue Feature Detection Method Based on Multifractal Theory (2022)Fatigue, alcohol and performance impairment (1997)Simulator performance, microsleep episodes, and subjective sleepiness: normative data using convergent methodologies to assess driver drowsiness (2006)Objective and subjective measures of sleepiness, and their associations with on‐road driving events in shift workers (2012)Distraction Becomes Engagement in Automated Driving (2015)Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)STOP, THAT and One Hundred Other Sleep Scales (2012)Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions (2017)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)Theory of Psychological Measurement (1965)Impaired alertness and performance driving home from the night shift: a driving simulator study (2005)Fatigue Countermeasures in Aviation (2009)Monitoring drivers’ mental workload in driving simulators using physiological measures (2010)Electroencephalographic study of drowsiness in simulated driving with sleep deprivation (2004)Detecting Driver Drowsiness Based on Sensors: A Review (2012)A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection (2019)Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges (2019)
this work references cited by second hop

References

  • 1995Characteristics of crashes attributed to the driver having fallen asleep512 cited
  • 1994Evaluation of driver drowsiness by trained raters379 cited
  • 1996Counteracting driver sleepiness: Effects of napping, caffeine, and placebo344 cited
  • 2013Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier216 cited
  • 2003The hazards and prevention of driving while sleepy157 cited
  • 2009Steering Wheel Behavior Based Estimation of Fatigue142 cited
  • 2013DETECTION OF DRIVING FATIGUE BY USING NONCONTACT EMG AND ECG SIGNALS MEASUREMENT SYSTEM131 cited
  • 2001Unobtrusive drowsiness detection by neural network learning of driver steering109 cited
  • 2012Real-Time Detection of Drowsiness Related Lane Departures Using Steering Wheel Angle95 cited

Cited by

  • 2019Drowsiness, Fatigue and Poor Sleep’s Causes and Detection: A Comprehensive Study57 cited

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