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A visual approach for driver inattention detection
2 references·16 citing·37 second hop
A visual approach for driver inattention detection (2007)A visual approach for driver inattention …Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time Nonintrusive Monito…Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Real-Time Eye, Gaze, and Face…Working Time Society consensus statements: A multi-level approach to managing occupational sleep-related fatigue (2019)Working Time Society consensu…Fuzzy-based Driver Monitoring System (FDMS): Implementation of two intelligent FDMSs and a testbed for safe driving in VANETs (2019)Fuzzy-based Driver Monitoring…Fatigue Detection Using Artificial Intelligence Framework (2019)Fatigue Detection Using Artif…Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges (2019)Driver Drowsiness Measurement…Driver Drowsiness Detection Using Multi-Channel Second Order Blind Identifications (2019)Driver Drowsiness Detection U…Driver Drowsiness Detection Based on Respiratory Signal Analysis (2019)Driver Drowsiness Detection B…Driver Distraction Using Visual-Based Sensors and Algorithms (2016)Driver Distraction Using Visu…Various Approaches for Driver and Driving Behavior Monitoring: A Review (2013)Various Approaches for Driver…Real-Time Detection System of Driver Distraction Using Machine Learning (2013)Real-Time Detection System of…Hybrid computer vision system for drivers' eye recognition and fatigue monitoring (2013)Hybrid computer vision system…Detecting driver drowsiness using feature-level fusion and user-specific classification (2013)Detecting driver drowsiness u…A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers (2013)A Vision-Based System for Mon…Vision-based drowsiness detector for real driving conditions (2012)Vision-based drowsiness detec…Driver’s eye blinking detection using novel color and texture segmentation algorithms (2012)Driver’s eye blinking detecti…Vision-based method for detecting driver drowsiness and distraction in driver monitoring system (2011)Vision-based method for detec…Online Driver Distraction Detection Using Long Short-Term Memory (2011)Online Driver Distraction Det…EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT (1998)Real-Time System for Monitoring Driver Vigilance (2006)A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior (2013)Methodology and Mobile Application for Driver Behavior Analysis and Accident Prevention (2019)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)Multiple resources and performance prediction (2002)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition (2017)A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements (2018)Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals (2012)Driver’s fatigue recognition based on yawn detection in thermal images (2019)Vision-Based Fatigue Driving Recognition Method Integrating Heart Rate and Facial Features (2020)Effects of visual and cognitive load in real and simulated motorway driving (2005)Detecting Driver Drowsiness Based on Sensors: A Review (2012)A Survey on Driver Behavior Analysis From In-Vehicle Cameras (2021)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Facial Action Coding System (1978)Cell phone-induced failures of visual attention during simulated driving. (2003)End-to-End Deep Learning for Driver Distraction Recognition (2017)Driver Sleepiness Classification Based on Physiological Data and Driving Performance From Real Road Driving (2018)Automatic driver distraction detection using deep convolutional neural networks (2022)Quantification of Sleepiness: A New Approach (1973)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)The American Academy of Sleep Medicine (AASM) Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications (2007)Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection (2020)How drowsiness and distraction can interfere with take-over performance: A systematic and meta-analysis review (2021)Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches (2021)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Driver Fatigue Detection Systems: A Review (2018)Driver drowsiness detection with eyelid related parameters by Support Vector Machine (2008)On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes (2009)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)
this work references cited by second hop

References

  • 2004Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue752 cited
  • 2002Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance561 cited

Cited by

  • 2013Real-Time Detection System of Driver Distraction Using Machine Learning193 cited
  • 2011Online Driver Distraction Detection Using Long Short-Term Memory178 cited
  • 2013Detecting driver drowsiness using feature-level fusion and user-specific classification162 cited
  • 2013Hybrid computer vision system for drivers' eye recognition and fatigue monitoring144 cited
  • 2011Vision-based method for detecting driver drowsiness and distraction in driver monitoring system141 cited
  • 2013Various Approaches for Driver and Driving Behavior Monitoring: A Review136 cited
  • 2016Driver Distraction Using Visual-Based Sensors and Algorithms136 cited
  • 2019Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges132 cited
  • 2013A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers127 cited
  • 2019Driver Drowsiness Detection Based on Respiratory Signal Analysis121 cited
  • 2012Vision-based drowsiness detector for real driving conditions109 cited
  • 2012Driver’s eye blinking detection using novel color and texture segmentation algorithms

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96 cited
  • 2019Fatigue Detection Using Artificial Intelligence Framework89 cited
  • 2019Working Time Society consensus statements: A multi-level approach to managing occupational sleep-related fatigue87 cited
  • 2019Driver Drowsiness Detection Using Multi-Channel Second Order Blind Identifications81 cited
  • 2019Fuzzy-based Driver Monitoring System (FDMS): Implementation of two intelligent FDMSs and a testbed for safe driving in VANETs81 cited