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Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques
16 references·0 citing·40 second hop
Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques (2022)Driver Drowsiness Prediction Based on Mul…Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images (2022)Driver Drowsiness Detection b…Learning based Driver Drowsiness Detection Model (2020)Learning based Driver Drowsin…EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System (2020)EEG-Based Driver Drowsiness E…Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges (2020)Detecting Human Driver Inatte…Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)Real-Time Driver-Drowsiness D…Driver Drowsiness Detection Using Multi-Channel Second Order Blind Identifications (2019)Driver Drowsiness Detection U…A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)A Survey on State-of-the-Art …A Smartphone-Based Drowsiness Detection and Warning System for Automotive Drivers (2018)A Smartphone-Based Drowsiness…Yawning Detection Using Embedded Smart Cameras (2016)Yawning Detection Using Embed…Facial features monitoring for real time drowsiness detection (2016)Facial features monitoring fo…YawDD (2014)YawDDDriver drowsiness recognition based on computer vision technology (2012)Driver drowsiness recognition…Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals (2012)Driver Alertness Monitoring U…Intelligent driver drowsiness detection through fusion of yawning and eye closure (2011)Intelligent driver drowsiness…Driver drowsiness detection using face expression recognition (2011)Driver drowsiness detection u…Yawning detection for determining driver drowsiness (2005)Yawning detection for determi…Sleep related vehicle accidents (1995)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Using EEG spectral components to assess algorithms for detecting fatigue (2008)Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes during Simulated Driving. (2015)Deploying Machine Learning Techniques for Human Emotion Detection (2022)Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety (2023)Real-Time System for Monitoring Driver Vigilance (2006)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)Hybrid computer vision system for drivers' eye recognition and fatigue monitoring (2013)Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)Drowsy Driver Detection Through Facial Movement Analysis (2007)Driver drowsiness monitoring based on yawning detection (2011)Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals (2020)Real-Time System for Driver Fatigue Detection Based on a Recurrent Neuronal Network (2020)Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detection (2021)Subjective sleepiness, simulated driving performance and blink duration: examining individual differences (2006)Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review (2023)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)Driver Behavior Analysis for Safe Driving: A Survey (2015)A Survey on Driver Behavior Analysis From In-Vehicle Cameras (2021)Lapse in alertness: coherence of fluctuations in performance and EEG spectrum (1993)Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks (2017)An Investigation of Deep Learning Models for EEG-Based Emotion Recognition (2020)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)Complacency and Bias in Human Use of Automation: An Attentional Integration (2010)Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017)Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis (2020)The Effects of the Driver’s Mental State and Passenger Compartment Conditions on Driving Performance and Driving Stress (2020)An overview of sleepiness and accidents (1995)Fatigue, alcohol and performance impairment (1997)Deep learning applications and challenges in big data analytics (2015)A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS (2022)Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach (2025)Driver drowsiness detection using hybrid convolutional neural network and long short-term memory (2018)Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection (2020)Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning (2021)An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition (2021)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)
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References

  • 2019A Survey on State-of-the-Art Drowsiness Detection Techniques364 cited
  • 2014YawDD294 cited
  • 2019Real-Time Driver-Drowsiness Detection System Using Facial Features281 cited
  • 2012Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals195 cited
  • 2022Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images160 cited
  • 2020EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System158 cited
  • 2016Yawning Detection Using Embedded Smart Cameras138 cited
  • 2020Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges137 cited
  • 2011Driver drowsiness detection using face expression recognition130 cited
  • 2012Driver drowsiness recognition based on computer vision technology110 cited
  • 2018A Smartphone-Based Drowsiness Detection and Warning System for Automotive Drivers101 cited
  • 2011Intelligent driver drowsiness detection through fusion of yawning and eye closure94 cited
  • 2016Facial features monitoring for real time drowsiness detection81 cited
  • 2019Driver Drowsiness Detection Using Multi-Channel Second Order Blind Identifications81 cited
  • 2020

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Learning based Driver Drowsiness Detection Model
79 cited
  • 2005Yawning detection for determining driver drowsiness71 cited
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