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A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection
8 references·9 citing·31 second hop
A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection (2014)A Review on Driver Face Monitoring System…A Driver Face Monitoring System for Fatigue and Distraction Detection (2013)A Driver Face Monitoring Syst…Driver drowsiness monitoring based on yawning detection (2011)Driver drowsiness monitoring …Real-Time System for Monitoring Driver Vigilance (2006)Real-Time System for Monitori…Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time Nonintrusive Monito…Driver fatigue detection based on eye tracking and dynamic template matching (2004)Driver fatigue detection base…Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Real-Time Eye, Gaze, and Face…Monitoring head/eye motion for driver alertness with one camera (2002)Monitoring head/eye motion fo…A drowsy driver detection system for heavy vehicles (2002)A drowsy driver detection sys…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 dri…Survey and Synthesis of State of the Art in Driver Monitoring (2021)Survey and Synthesis of State…A survey on vision-based driver distraction analysis (2021)A survey on vision-based driv…Driver Fatigue Detection Method Based on Eye States With Pupil and Iris Segmentation (2020)Driver Fatigue Detection Meth…Detection of driver manual distraction via image-based hand and ear recognition (2020)Detection of driver manual di…Real‐time eye tracking for the assessment of driver fatigue (2017)Real‐time eye tracking for th…Fatigue in transport: a review of exposure, risks, checks and controls (2017)Fatigue in transport: a revie…A sensor fusion approach for drowsiness detection in wearable ultra-low-power systems (2017)A sensor fusion approach for …Smart Driver Monitoring: When Signal Processing Meets Human Factors: In the driver's seat (2016)Smart Driver Monitoring: When…Development of drowsiness detection system (2002)Detection of vigilance performance using eye blinks (2013)Driver’s Fatigue Detection Based on Yawning Extraction (2014)Driver Fatigue Detection: A Survey (2006)Student Emotion Recognition System (SERS) for e-learning Improvement Based on Learner Concentration Metric (2016)Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)Psychophysical scaling with applications in physical work and the perception of exertion. (1990)Validity and reliability of a scale to assess fatigue (1991)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions (2021)A novel approach for driver fatigue detection based on visual characteristics analysis (2021)Real-time monitoring of driver distraction: State-of-the-art and future insights (2023)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Engineering Psychology and Human Performance (2015)Eye Tracking in Driver Attention Research—How Gaze Data Interpretations Influence What We Learn (2021)Distracted driving detection based on the fusion of deep learning and causal reasoning (2022)Estimating Driving Performance Based on EEG Spectrum Analysis (2005)Driver performance in the moments surrounding a microsleep (2007)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Driver Fatigue Detection Systems: A Review (2018)Detection of Driver Vigilance Level Using EEG Signals and Driving Contexts (2017)A Survey on Driver Behavior Analysis From In-Vehicle Cameras (2021)Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detection (2021)Drowsy driver detection using representation learning (2014)Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks (2017)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)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
  • 2006Real-Time System for Monitoring Driver Vigilance715 cited
  • 2002Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance561 cited
  • 2004Driver fatigue detection based on eye tracking and dynamic template matching231 cited
  • 2011Driver drowsiness monitoring based on yawning detection202 cited
  • 2002A drowsy driver detection system for heavy vehicles190 cited
  • 2002Monitoring head/eye motion for driver alertness with one camera175 cited
  • 2013A Driver Face Monitoring System for Fatigue and Distraction Detection159 cited

Cited by

  • 2017Real‐time eye tracking for the assessment of driver fatigue112 cited
  • 2021Survey and Synthesis of State of the Art in Driver Monitoring86 cited
  • 2020Driver Fatigue Detection Method Based on Eye States With Pupil and Iris Segmentation82 cited
  • 2020Detection of driver manual distraction via image-based hand and ear recognition71 cited
  • 2021A survey on vision-based driver distraction analysis70 cited
  • 2022Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021)70 cited

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

  • 2017A sensor fusion approach for drowsiness detection in wearable ultra-low-power systems69 cited
  • 2017Fatigue in transport: a review of exposure, risks, checks and controls63 cited
  • 2016Smart Driver Monitoring: When Signal Processing Meets Human Factors: In the driver's seat61 cited