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Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021)
16 references·2 citing·41 second hop
Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021) (2022)Detecting and recognizing driver distract…Driver Distraction Identification with an Ensemble of Convolutional Neural Networks (2019)Driver Distraction Identifica…Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach (2019)Driver Activity Recognition f…Driver Fatigue Detection Systems: A Review (2018)Driver Fatigue Detection Syst…Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)Driver Drowsiness Detection v…Understanding the impacts of mobile phone distraction on driving performance: A systematic review (2016)Understanding the impacts of …Drowsiness detection using heart rate variability (2016)Drowsiness detection using he…Driver Behavior Analysis for Safe Driving: A Survey (2015)Driver Behavior Analysis for …YawDD (2014)YawDDDetecting Driver Drowsiness Based on Sensors: A Review (2012)Detecting Driver Drowsiness B…Control Task Substitution in Semiautomated Driving (2012)Control Task Substitution in …Driver distraction and driver inattention: Definition, relationship and taxonomy (2011)Driver distraction and driver…Driver Distraction in Commercial Vehicle Operations (2010)Driver Distraction in Commerc…A meta-analysis of the effects of cell phones on driver performance (2008)A meta-analysis of the effect…Effects of visual and cognitive load in real and simulated motorway driving (2005)Effects of visual and cogniti…Driver distraction: The effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance (2005)Driver distraction: The effec…Cognitive load and detection thresholds in car following situations: safety implications for using mobile (cellular) telephones while driving (1999)Cognitive load and detection …Technologies for detecting and monitoring drivers' states: A systematic review (2024)Technologies for detecting an…Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach (2023)Quantitative Identification o…Toward a Theory of Situation Awareness in Dynamic Systems (1995)A model for types and levels of human interaction with automation (2000)Trust in Automation: Designing for Appropriate Reliance (2004)Autonomous Driving Systems: A Preliminary Naturalistic Study of the Tesla Model S (2017)The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications (2018)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)Cognitive Reliability and Error Analysis Method (CREAM) (1998)Stream of consciousness (1998)Real-Time Detection System of Driver Distraction Using Machine Learning (2013)Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Driver Distraction Detection Methods: A Literature Review and Framework (2021)Engineering psychology and human performance, 2nd ed. (1992)Speech-Based Interaction with In-Vehicle Computers: The Effect of Speech-Based E-Mail on Drivers' Attention to the Roadway (2001)Effect of cellular telephone conversations and other potential interference on reaction time in a braking response (2003)The distraction effects of phone use during a crucial driving maneuver (2003)Engineering Psychology and Human Performance (2015)Engineering Psychology and Human Performance (2021)Practical Meta-Analysis (2000)The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. (2007)The Effects of Text Messaging on Young Drivers (2009)Assessing Cognitive Distraction in the Automobile (2015)Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (2015)A critical review of the psychophysiology of driver fatigue (2001)A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving (2019)Driven to Distraction: Dual-Task Studies of Simulated Driving and Conversing on a Cellular Telephone (2001)Sensitivity of eye-movement measures to in-vehicle task difficulty (2005)What determines the take-over time? An integrated model approach of driver take-over after automated driving (2015)Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving (2016)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)The influence of mental fatigue on brain activity: Evidence from a systematic review with meta‐analyses (2020)Fatigue Monitoring Through Wearables: A State-of-the-Art Review (2021)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)Text Messaging During Simulated Driving (2009)Introduction matters: Manipulating trust in automation and reliance in automated driving (2017)HCF: A Hybrid CNN Framework for Behavior Detection of Distracted Drivers (2020)Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving (2021)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)
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References

  • 2005Effects of visual and cognitive load in real and simulated motorway driving836 cited
  • 2012Detecting Driver Drowsiness Based on Sensors: A Review783 cited
  • 2005Driver distraction: The effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance708 cited
  • 2008A meta-analysis of the effects of cell phones on driver performance634 cited
  • 2018Driver Fatigue Detection Systems: A Review557 cited
  • 2011Driver distraction and driver inattention: Definition, relationship and taxonomy503 cited
  • 1999Cognitive load and detection thresholds in car following situations: safety implications for using mobile (cellular) telephones while driving432 cited
  • 2015Driver Behavior Analysis for Safe Driving: A Survey404 cited
  • 2019Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach402 cited
  • 2012Control Task Substitution in Semiautomated Driving335 cited
  • 2016Understanding the impacts of mobile phone distraction on driving performance: A systematic review319 cited
  • 2017Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network318 cited
  • 2019Driver Distraction Identification with an Ensemble of Convolutional Neural Networks307 cited
  • 2014YawDD294 cited

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2016
Drowsiness detection using heart rate variability
289 cited
  • 2010Driver Distraction in Commercial Vehicle Operations261 cited
  • Cited by

    • 2023Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach67 cited
    • 2024Technologies for detecting and monitoring drivers' states: A systematic review56 cited