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Data Fusion to Develop a Driver Drowsiness Detection System with Robustness to Signal Loss
14 references·0 citing·48 second hop
Data Fusion to Develop a Driver Drowsiness Detection System with Robustness to Signal Loss (2014)Data Fusion to Develop a Driver Drowsines…Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS) for Driver Drowsiness Detection (2014)Fusion of Optimized Indicator…Improving Driver Alertness through Music Selection Using a Mobile EEG to Detect Brainwaves (2013)Improving Driver Alertness th…Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier (2013)Detection of Driver Drowsines…Detecting driver drowsiness using feature-level fusion and user-specific classification (2013)Detecting driver drowsiness u…Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)Measuring neurophysiological …Driver’s eye blinking detection using novel color and texture segmentation algorithms (2012)Driver’s eye blinking detecti…Drowsiness detection based on visual signs: blinking analysis based on high frame rate video (2010)Drowsiness detection based on…Driving Fatigue and Performance among Occupational Drivers in Simulated Prolonged Driving (2010)Driving Fatigue and Performan…Acoustic sleepiness detection: Framework and validation of a speech-adapted pattern recognition approach (2009)Acoustic sleepiness detection…Detecting drowsiness while driving by measuring eye movement - a pilot study (2003)Detecting drowsiness while dr…Vehicle control and drowsiness (2002)Vehicle control and drowsinessNHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE (2001)NHTSA DRIVER DISTRACTION RESE…AN ON-BOARD SYSTEM FOR DETECTING LAPSES OF ALERTNESS IN CAR DRIVING (1995)AN ON-BOARD SYSTEM FOR DETECT…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…An overview of sleepiness and accidents (1995)Sleep related vehicle accidents (1995)The measurement of drivers' mental workload (1996)Real-time system for monitoring driver vigilance (2004)Real-time system for monitoring driver vigilance (2005)Real-time driver drowsiness feedback improves driver alertness and self-reported driving performance (2015)Real-Time System for Monitoring Driver Vigilance (2006)Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Head movement-based driver drowsiness detection: A review of state-of-art techniques (2016)A contextual and temporal algorithm for driver drowsiness detection (2018)Driver Drowsiness Detection Based on Respiratory Signal Analysis (2019)A critical review of the psychophysiology of driver fatigue (2001)Effect of driving duration and partial sleep deprivation on subsequent alertness and performance of car drivers (2005)Predicting driver drowsiness using vehicle measures: Recent insights and future challenges (2009)More Than Just “Stressful”? Testing the Mediating Role of Fatigue on the Relationship Between Job Stress and Occupational Crashes of Long-Haul Truck Drivers (2021)Praat, a system for doing phonetics by computer (2002)Neurocognitive Consequences of Sleep Deprivation (2005)Neurocognitive Consequences of Sleep Deprivation (2009)Applying multiple classifiers and non-linear dynamics features for detecting sleepiness from speech (2012)Automatic modelling of depressed speech: relevant features and relevance of gender (2014)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Cumulative Sleepiness, Mood Disturbance, and Psychomotor Vigilance Performance Decrements During a Week of Sleep Restricted to 4–5 Hours per Night (1997)Recognition of emotions using multimodal physiological signals and an ensemble deep learning model (2016)Driver Fatigue Detection Systems: A Review (2018)A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving (2019)Quantification of Sleepiness: A New Approach (1973)Subjective and Objective Sleepiness in the Active Individual (1990)Roadmap to a Single European Transport Area: Towards a competitive and resource efficient transport system (2014)Adapting artificial neural networks to a specific driver enhances detection and prediction of drowsiness (2018)Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing (2020)Detection of Driver Cognitive Distraction Using Machine Learning Methods (2023)Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Experimental evaluation of eye-blink parameters as a drowsiness measure (2003)A Study of Deep CNN-Based Classification of Open and Closed Eyes Using a Visible Light Camera Sensor (2017)Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks (2019)Driver Fatigue Detection Using Viola Jones and Principal Component Analysis (2020)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)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)Safety implications of providing real-time feedback to distracted drivers (2006)DriveSafe: An app for alerting inattentive drivers and scoring driving behaviors (2014)Assessing Cognitive Distraction in the Automobile (2015)
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References

  • 2012Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness1,336 cited
  • 2001NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE281 cited
  • 1994RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT261 cited
  • 2013Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier216 cited
  • 2013Detecting driver drowsiness using feature-level fusion and user-specific classification162 cited
  • 2012Driver’s eye blinking detection using novel color and texture segmentation algorithms96 cited
  • 2002Vehicle control and drowsiness95 cited
  • 2009Acoustic sleepiness detection: Framework and validation of a speech-adapted pattern recognition approach87 cited
  • 2014Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS) for Driver Drowsiness Detection84 cited
  • 2010Driving Fatigue and Performance among Occupational Drivers in Simulated Prolonged Driving74 cited
  • 1995AN ON-BOARD SYSTEM FOR DETECTING LAPSES OF ALERTNESS IN CAR DRIVING65 cited
  • 2010Drowsiness detection based on visual signs: blinking analysis based on high frame rate video64 cited
  • 2003Detecting drowsiness while driving by measuring eye movement - a pilot study59 cited

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  • 2013Improving Driver Alertness through Music Selection Using a Mobile EEG to Detect Brainwaves56 cited
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