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Real-time driver monitoring system with facial landmark-based eye closure detection and head pose recognition
16 references·0 citing·34 second hop
Real-time driver monitoring system with facial landmark-based eye closure detection and head pose recognition (2023)Real-time driver monitoring system with f…A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS (2022)A Multimodal Fusion Fatigue D…Using long short term memory and convolutional neural networks for driver drowsiness detection (2021)Using long short term memory …Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling (2021)Intelligent Driver Drowsiness…Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network (2021)Driver Mental Fatigue Detecti…Driver behavior detection and classification using deep convolutional neural networks (2020)Driver behavior detection and…Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection (2020)Assessment of the Potential o…Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach (2019)Driver Activity Recognition f…A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection (2019)A Realistic Dataset and Basel…Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)Driver Drowsiness Detection v…A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability (2017)A Hybrid Approach to Detect D…The ULg multimodality drowsiness database (called DROZY) and examples of use (2016)The ULg multimodality drowsin…Driver Behavior Analysis for Safe Driving: A Survey (2015)Driver Behavior Analysis for …Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Driver Inattention 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…Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Real-Time Eye, Gaze, and Face…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 Fatigue Detection Systems: A Review (2018)Effects of visual and cognitive load in real and simulated motorway driving (2005)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)Driver Distraction Detection Methods: A Literature Review and Framework (2021)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks (2017)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)Driver fatigue: Electroencephalography and psychological assessment (2002)Monotony of road environment and driver fatigue: a simulator study (2003)Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review (2018)A Comprehensive Survey of Driving Monitoring and Assistance Systems (2019)Subjective and Objective Sleepiness in the Active Individual (1990)A Spontaneous Micro-expression Database: Inducement, collection and baseline (2013)CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation (2014)Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images (2022)Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review (2023)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)Proceedings of the Human Factors and Ergonomics Society 2019 Annual Meeting (2019)Machine Learning Techniques to Identify Unsafe Driving Behavior by Means of In-Vehicle Sensor Data (2021)Automatic driver distraction detection using deep convolutional neural networks (2022)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)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)HCF: A Hybrid CNN Framework for Behavior Detection of Distracted Drivers (2020)Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving (2021)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)
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References

  • 2004Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue752 cited
  • 2011Driver Inattention Monitoring System for Intelligent Vehicles: A Review728 cited
  • 2006Real-Time System for Monitoring Driver Vigilance715 cited
  • 2002Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance561 cited
  • 2015Driver Behavior Analysis for Safe Driving: A Survey404 cited
  • 2019Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach402 cited
  • 2020Driver behavior detection and classification using deep convolutional neural networks355 cited
  • 2017Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network318 cited
  • 2017A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability285 cited
  • 2019A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection218 cited
  • 2016The ULg multimodality drowsiness database (called DROZY) and examples of use150 cited
  • 2021Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network136 cited
  • 2021Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling115 cited
  • 2020Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection

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107 cited
  • 2022A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS104 cited
  • 2021Using long short term memory and convolutional neural networks for driver drowsiness detection93 cited
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