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Detecting driver drowsiness using feature-level fusion and user-specific classification
9 references·11 citing·44 second hop
Detecting driver drowsiness using feature-level fusion and user-specific classification (2013)Detecting driver drowsiness using feature…Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Driver Inattention Monitoring…Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)Applying neural network analy…Predicting driver drowsiness using vehicle measures: Recent insights and future challenges (2009)Predicting driver drowsiness …Driver drowsiness detection with eyelid related parameters by Support Vector Machine (2008)Driver drowsiness detection w…Drowsy Driver Detection Through Facial Movement Analysis (2007)Drowsy Driver Detection Throu…A visual approach for driver inattention detection (2007)A visual approach for driver …Real-Time System for Monitoring Driver Vigilance (2006)Real-Time System for Monitori…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…Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks (2021)Effects of dataset characteri…A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions (2021)A Multi-Stage, Multi-Feature …Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis (2020)Driver Fatigue Detection Syst…Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures (2020)Applying deep neural networks…Non-intrusive Driver Drowsiness Detection based on Face and Eye Tracking (2019)Non-intrusive Driver Drowsine…Driver Drowsiness Detection Based on Respiratory Signal Analysis (2019)Driver Drowsiness Detection B…A contextual and temporal algorithm for driver drowsiness detection (2018)A contextual and temporal alg…A Real-Time Fatigue Driving Recognition Method Incorporating Contextual Features and Two Fusion Levels (2017)A Real-Time Fatigue Driving R…The Impairing Effect of Mental Fatigue on Visual Sustained Attention under Monotonous Multi-Object Visual Attention Task in Long Durations: An Event-Related Potential Based Study (2016)The Impairing Effect of Menta…Head movement-based driver drowsiness detection: A review of state-of-art techniques (2016)Head movement-based driver dr…Driver yawning detection based on deep convolutional neural learning and robust nose tracking (2015)Driver yawning detection base…Comprehensive database for facial expression analysis (2002)Electroencephalographic study of drowsiness in simulated driving with sleep deprivation (2004)Automatic Recognition of Facial Actions in Spontaneous Expressions (2006)Drowsy driver detection system using eye blink patterns (2010)Drowsy driver detection using representation learning (2014)IoT‐Based Smart Alert System for Drowsy Driver Detection (2021)Sleep related vehicle accidents (1995)A critical review of the psychophysiology of driver fatigue (2001)Monotony of road environment and driver fatigue: a simulator study (2003)Cognitive Cars: A New Frontier for ADAS Research (2011)Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue (2020)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)Driver fatigue: Electroencephalography and psychological assessment (2002)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)A manual for standardized terminology, techniques and scoring system for sleep stages in human subjects (1968)Subjective and Objective Sleepiness in the Active Individual (1990)Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Driver drowsiness detection based on non-intrusive metrics considering individual specifics (2015)Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data (2016)Utilization of a combined EEG/NIRS system to predict driver drowsiness (2017)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Online Driver Distraction Detection Using Long Short-Term Memory (2011)Hybrid computer vision system for drivers' eye recognition and fatigue monitoring (2013)Real-Time Detection System of Driver Distraction Using Machine Learning (2013)The Measurement of Observer Agreement for Categorical Data (1977)Drowsiness detection using heart rate variability (2016)A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability (2017)Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning (2021)A systematic review of physiological signals based driver drowsiness detection systems (2022)A Deep-Learning Approach to Driver Drowsiness Detection (2023)EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT (1998)A probabilistic framework for modeling and real-time monitoring human fatigue (2006)Efficient driver drowsiness detection at moderate levels of drowsiness (2012)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)PERCLOS: A valid psychophysiological measure of alertness as assessed by psychomotor vigilance (1998)Identification of driver state for lane-keeping tasks (1999)Towards a driver fatigue test based on the saccadic main sequence: A partial validation by subjective report data (2011)
this work references cited by second hop

References

  • 2011Driver Inattention Monitoring System for Intelligent Vehicles: A Review728 cited
  • 2006Real-Time System for Monitoring Driver Vigilance715 cited
  • 2010Applying neural network analysis on heart rate variability data to assess driver fatigue418 cited
  • 2008Driver drowsiness detection with eyelid related parameters by Support Vector Machine309 cited
  • 2009Predicting driver drowsiness using vehicle measures: Recent insights and future challenges272 cited
  • 1994RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT261 cited
  • 2007Drowsy Driver Detection Through Facial Movement Analysis232 cited
  • 2007A visual approach for driver inattention detection218 cited
  • 1994Research on vehicle-based driver status/performance monitoring: Development, validation, and refinement of algorithms for detection of driver drowsiness182 cited

Cited by

  • 2019Driver Drowsiness Detection Based on Respiratory Signal Analysis121 cited
  • 2018A contextual and temporal algorithm for driver drowsiness detection103 cited
  • 2016Head movement-based driver drowsiness detection: A review of state-of-art techniques100 cited
  • 2020Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis92 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2020Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures87 cited
  • 2015Driver yawning detection based on deep convolutional neural learning and robust nose tracking80 cited
  • 2016The Impairing Effect of Mental Fatigue on Visual Sustained Attention under Monotonous Multi-Object Visual Attention Task in Long Durations: An Event-Related Potential Based Study78 cited
  • 2021A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions68 cited
  • 2021Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks65 cited
  • 2017A Real-Time Fatigue Driving Recognition Method Incorporating Contextual Features and Two Fusion Levels65 cited
  • 2019Non-intrusive Driver Drowsiness Detection based on Face and Eye Tracking58 cited