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A Multi-Modal Driver Fatigue and Distraction Assessment System
16 references·8 citing·40 second hop
A Multi-Modal Driver Fatigue and Distraction Assessment System (2015)A Multi-Modal Driver Fatigue and Distract…Eye tracking based driver fatigue monitoring and warning system (2011)Eye tracking based driver fat…Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Driver Inattention Monitoring…Driver Distraction in Commercial Vehicle Operations (2010)Driver Distraction in Commerc…Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)Applying neural network analy…Human error taxonomies applied to driving: A generic driver error taxonomy and its implications for intelligent transport systems (2008)Human error taxonomies applie…Driver Distraction (2008)Driver DistractionDefining Driver Distraction (2008)Defining Driver DistractionDefi ning Driver Distraction (2008)Defi ning Driver DistractionReal-Time System for Monitoring Driver Vigilance (2006)Real-Time System for Monitori…A probabilistic framework for modeling and real-time monitoring human fatigue (2006)A probabilistic framework for…Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Detecting Stress During Real-…Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time Nonintrusive Monito…Driver distraction: A review of the literature (2003)Driver distraction: A review …Driver fatigue: Electroencephalography and psychological assessment (2002)Driver fatigue: Electroenceph…A critical review of the psychophysiology of driver fatigue (2001)A critical review of the psyc…Spectral analysis of heart rate variability as an indicator of driver fatigue (1982)Spectral analysis of heart ra…Real-time monitoring of driver distraction: State-of-the-art and future insights (2023)Real-time monitoring of drive…Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity (2023)Driver Fatigue Detection Usin…Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation (2022)Challenges of Driver Drowsine…A survey on vision-based driver distraction analysis (2021)A survey on vision-based driv…Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing (2020)Multimodal System to Detect D…Distracted driver detection by combining in-vehicle and image data using deep learning (2020)Distracted driver detection b…Assessment of Driver Mental Fatigue Using Facial Landmarks (2019)Assessment of Driver Mental F…Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic (2018)Detection and Evaluation of D…The Relaxation Response (1974)Using EEG spectral components to assess algorithms for detecting fatigue (2008)Detecting Driver Drowsiness Based on Sensors: A Review (2012)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 Analysis for Safe Driving: A Survey (2015)Driver Fatigue Detection Systems: A Review (2018)Driver behavior detection and classification using deep convolutional neural networks (2020)Sleep related vehicle accidents (1995)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)A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving (2019)Categorization of action slips. 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The impact of visual-cognitive load on driver take-over quality after conditionally automated driving (2016)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Passenger and cell phone conversations in simulated driving. (2008)Combining cognitive and visual distraction: Less than the sum of its parts (2010)The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications (2018)
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References

  • 2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors2,205 cited
  • 2001A critical review of the psychophysiology of driver fatigue1,008 cited
  • 2004Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue752 cited
  • 2011Driver Inattention Monitoring System for Intelligent Vehicles: A Review728 cited
  • 2006Real-Time System for Monitoring Driver Vigilance715 cited
  • 2002Driver fatigue: Electroencephalography and psychological assessment533 cited
  • 2003Driver distraction: A review of the literature449 cited
  • 2008Driver Distraction443 cited
  • 2010Applying neural network analysis on heart rate variability data to assess driver fatigue418 cited
  • 2008Human error taxonomies applied to driving: A generic driver error taxonomy and its implications for intelligent transport systems336 cited
  • 2010Driver Distraction in Commercial Vehicle Operations261 cited
  • 2006A probabilistic framework for modeling and real-time monitoring human fatigue245 cited
  • 2008Defining Driver Distraction222 cited
  • 2008Defi ning Driver Distraction175 cited
  • 1982Spectral analysis of heart rate variability as an indicator of driver fatigue163 cited

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  • 2011Eye tracking based driver fatigue monitoring and warning system133 cited
  • Cited by

    • 2018Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic98 cited
    • 2020Distracted driver detection by combining in-vehicle and image data using deep learning94 cited
    • 2021A survey on vision-based driver distraction analysis70 cited
    • 2020Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing69 cited
    • 2023Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity62 cited
    • 2023Real-time monitoring of driver distraction: State-of-the-art and future insights61 cited
    • 2019Assessment of Driver Mental Fatigue Using Facial Landmarks60 cited
    • 2022Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation55 cited