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Retracted: Deep Learning based Drowsiness Detection and Monitoring using Behavioural Approach
10 references·0 citing·41 second hop
Retracted: Deep Learning based Drowsiness Detection and Monitoring using Behavioural Approach (2022)Retracted: Deep Learning based Drowsiness…Analysis of Digitization, IOT and Block chain in Bancassurance (2021)Analysis of Digitization, IOT…Smart Real-Time Video Surveillance Platform for Drowsiness Detection Based on Eyelid Closure (2019)Smart Real-Time Video Surveil…A Real-time Driving Drowsiness Detection Algorithm With Individual Differences Consideration (2019)A Real-time Driving Drowsines…Real Time Driver Fatigue Detection Based on SVM Algorithm (2018)Real Time Driver Fatigue Dete…Early Detection of Driver Drowsiness Utilizing Machine Learning based on Physiological Signals, Behavioral Measures, and Driving Performance (2018)Early Detection of Driver Dro…Driver drowsiness monitoring system using visual behaviour and machine learning (2018)Driver drowsiness monitoring …Driver drowsiness detection using facial dynamic fusion information and a DBN (2017)Driver drowsiness detection u…Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks (2017)Driver Drowsiness Detection S…Drowsy driver detection system using eye blink patterns (2010)Drowsy driver detection syste…Drowsiness Monitoring By Steering And Lane Data Based Features Under Real Driving Conditions (2010)Drowsiness Monitoring By Stee…RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT (1994)Drowsy Driver Detection Through Facial Movement Analysis (2007)Predicting driver drowsiness using vehicle measures: Recent insights and future challenges (2009)Design and Implementation of a Drowsiness-Fatigue-Detection System Based on Wearable Smart Glasses to Increase Road Safety (2018)Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology (2019)Subjective and Objective Sleepiness in the Active Individual (1990)Sleepiness, Driving, and Motor Vehicle Crashes (1998)Drivers’ misjudgement of vigilance state during prolonged monotonous daytime driving (2009)Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm (2020)Driver fatigue detection based on eye tracking and dynamic template matching (2004)Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)Efficient driver drowsiness detection at moderate levels of drowsiness (2012)Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework (2018)Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection (2019)Real-Time System for Monitoring Driver Vigilance (2006)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring (2013)EDDD: Event-Based Drowsiness Driving Detection Through Facial Motion Analysis With Neuromorphic Vision Sensor (2020)Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning (2021)A Deep-Learning Approach to Driver Drowsiness Detection (2023)Driver drowsiness detection system (2013)An Accurate ECG-Based Transportation Safety Drowsiness Detection Scheme (2016)Cloud-Based Driver Monitoring System Using a Smartphone (2020)Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis (2020)Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features (2023)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets (2022)Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation (2022)Monitoring fatigue and drowsiness in motor vehicle occupants using electrocardiogram and heart rate − A systematic review (2024)A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers (2013)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)PERCLOS: A valid psychophysiological measure of alertness as assessed by psychomotor vigilance (1998)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)Dynamic driver fatigue detection using hidden Markov model in real driving condition (2016)Driver Fatigue Detection Systems: A Review (2018)Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning (2021)Eye Aspect Ratio for Real-Time Drowsiness Detection to Improve Driver Safety (2022)Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety (2023)Retracted: Artificial Intelligence Based E-Commerce Information Management Model (2022)
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References

  • 2010Drowsy driver detection system using eye blink patterns214 cited
  • 2017Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks179 cited
  • 2019A Real-time Driving Drowsiness Detection Algorithm With Individual Differences Consideration128 cited
  • 2018Driver drowsiness monitoring system using visual behaviour and machine learning112 cited
  • 2017Driver drowsiness detection using facial dynamic fusion information and a DBN96 cited
  • 2018Early Detection of Driver Drowsiness Utilizing Machine Learning based on Physiological Signals, Behavioral Measures, and Driving Performance61 cited
  • 2010Drowsiness Monitoring By Steering And Lane Data Based Features Under Real Driving Conditions54 cited
  • 2019Smart Real-Time Video Surveillance Platform for Drowsiness Detection Based on Eyelid Closure52 cited
  • 2018Real Time Driver Fatigue Detection Based on SVM Algorithm49 cited
  • 2021Analysis of Digitization, IOT and Block chain in Bancassurance28 cited

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