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Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals
16 references·4 citing·41 second hop
Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals (2020)Machine Learning and End-to-End Deep Lear…Driver Fatigue Detection Systems: A Review (2018)Driver Fatigue Detection Syst…Detecting distraction of drivers using Convolutional Neural Network (2018)Detecting distraction of driv…Monitoring stress with a wrist device using context (2017)Monitoring stress with a wris…Yawning Detection Using Embedded Smart Cameras (2016)Yawning Detection Using Embed…Driver Distraction Using Visual-Based Sensors and Algorithms (2016)Driver Distraction Using Visu…Driving posture recognition by convolutional neural networks (2015)Driving posture recognition b…Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals (2012)Driver Alertness Monitoring U…Driver distraction and driver inattention: Definition, relationship and taxonomy (2011)Driver distraction and driver…Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car (2010)Emotion on the Road—Necessity…Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)Driver Drowsiness Classificat…Affect and Emotion in Human-Computer Interaction (2008)Affect and Emotion in Human-C…Observer-Based Measurement of Facial Expression with the Facial Action Coding System (2007)Observer-Based Measurement of…Real-Time System for Monitoring Driver Vigilance (2006)Real-Time System for Monitori…Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Detecting Stress During Real-…A desicion-theoretic generalization of on-line learning and an application to boosting (1995)A desicion-theoretic generali…Facial Action Coding System (1978)Facial Action Coding SystemBringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning (2022)Bringing Emotion Recognition …Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems (2021)Sensitivity of Electrodermal …Robust Deep Learning-Based Driver Distraction Detection and Classification (2021)Robust Deep Learning-Based Dr…Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data (2020)Can We Ditch Feature Engineer…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)A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory (1972)Cumulative Sleepiness, Mood Disturbance, and Psychomotor Vigilance Performance Decrements During a Week of Sleep Restricted to 4–5 Hours per Night (1997)A critical review of the psychophysiology of driver fatigue (2001)Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data (2016)A Review on Mental Stress Assessment Methods Using EEG Signals (2021)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Hybrid computer vision system for drivers' eye recognition and fatigue monitoring (2013)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)Coefficient Alpha and the Internal Structure of Tests (1951)Inferring psychological significance from physiological signals. 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References

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  • 2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors2,205 cited
  • 2006Real-Time System for Monitoring Driver Vigilance715 cited
  • 2018Driver Fatigue Detection Systems: A Review557 cited
  • 2010Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm526 cited
  • 2011Driver distraction and driver inattention: Definition, relationship and taxonomy503 cited
  • 2007Observer-Based Measurement of Facial Expression with the Facial Action Coding System398 cited
  • 2017Monitoring stress with a wrist device using context353 cited
  • 2012Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals195 cited
  • 2008Affect and Emotion in Human-Computer Interaction186 cited
  • 2010Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car173 cited
  • 2015Driving posture recognition by convolutional neural networks160 cited
  • 2016Yawning Detection Using Embedded Smart Cameras138 cited
  • 2018Detecting distraction of drivers using Convolutional Neural Network

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138 cited
  • 2016Driver Distraction Using Visual-Based Sensors and Algorithms136 cited
  • Cited by

    • 2022Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning65 cited
    • 2021Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems59 cited
    • 2020Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data58 cited
    • 2021Robust Deep Learning-Based Driver Distraction Detection and Classification54 cited