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Vision-Based Fatigue Driving Recognition Method Integrating Heart Rate and Facial Features
16 references·10 citing·40 second hop
Vision-Based Fatigue Driving Recognition Method Integrating Heart Rate and Facial Features (2020)Vision-Based Fatigue Driving Recognition …Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Heart Rate Variability-Based …Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)Towards Detection of Bus Driv…Drowsiness detection using heart rate variability (2016)Drowsiness detection using he…Driver Behavior Analysis for Safe Driving: A Survey (2015)Driver Behavior Analysis for …Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring (2013)Visual Analysis of Eye State …Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures (2013)Automated Detection of Driver…Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals (2012)Driver Alertness Monitoring U…Driver drowsiness monitoring based on yawning detection (2011)Driver drowsiness monitoring …A driver fatigue recognition model based on information fusion and dynamic Bayesian network (2010)A driver fatigue recognition …Sleep Loss and Sleepiness (2008)Sleep Loss and SleepinessReal-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Real-Time Detection of Driver…Drowsy Driver Detection Through Facial Movement Analysis (2007)Drowsy Driver Detection Throu…Less effective executive functioning after one night's sleep deprivation (2005)Less effective executive func…Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time Nonintrusive Monito…Cumulative Sleepiness, Mood Disturbance, and Psychomotor Vigilance Performance Decrements During a Week of Sleep Restricted to 4–5 Hours per Night (1997)Cumulative Sleepiness, Mood D…Subjective and Objective Sleepiness in the Active Individual (1990)Subjective and Objective Slee…Optimized driver fatigue detection method using multimodal neural networks (2025)Optimized driver fatigue dete…Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features (2024)Video-Based Driver Drowsiness…Fatigue State Recognition System for Miners Based on a Multimodal Feature Extraction and Fusion Framework (2024)Fatigue State Recognition Sys…Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion (2024)Fatigue at the wheel: A non-v…Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity (2023)Driver Fatigue Detection Usin…A systematic review of physiological signals based driver drowsiness detection systems (2022)A systematic review of physio…A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning (2022)A review of driver fatigue de…A Product Fuzzy Convolutional Network for Detecting Driving Fatigue (2022)A Product Fuzzy Convolutional…A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS (2022)A Multimodal Fusion Fatigue D…Driver Drowsiness Estimation Based on Factorized Bilinear Feature Fusion and a Long-Short-Term Recurrent Convolutional Network (2020)Driver Drowsiness Estimation …Quantification of Sleepiness: A New Approach (1973)Behavioral and Physiological Consequences of Sleep Restriction (2007)Short Sleep Duration and Weight Gain: A Systematic Review (2008)Neurocognitive Consequences of Sleep Deprivation (2009)Neural basis of alertness and cognitive performance impairments during sleepiness. I. Effects of 24 h of sleep deprivation on waking human regional brain activity (2000)The impact of sleep deprivation on decision making: A review. (2000)The Neural Basis of Interindividual Variability in Inhibitory Efficiency after Sleep Deprivation (2006)Relationships between affect, vigilance, and sleepiness following sleep deprivation (2008)Effects of Sleep Deprivation on Dissociated Components of Executive Functioning (2010)A critical review of the psychophysiology of driver fatigue (2001)Toward machine emotional intelligence: analysis of affective physiological state (2001)Detection and prediction of driver drowsiness using artificial neural network models (2017)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)Driven to Distraction: Dual-Task Studies of Simulated Driving and Conversing on a Cellular Telephone (2001)Cell phone-induced failures of visual attention during simulated driving. (2003)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes (2009)Effects of visual and cognitive load in real and simulated motorway driving (2005)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)Driver Distraction Detection Methods: A Literature Review and Framework (2021)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability (2017)Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers (2017)International Classification of Sleep Disorders-Third Edition (2014)Principles and Practice of Sleep Medicine (2016)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)Detecting driver fatigue using heart rate variability: A systematic review (2022)Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review (2023)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)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)Systematic Interindividual Differences in Neurobehavioral Impairment from Sleep Loss: Evidence of Trait-Like Differential Vulnerability (2004)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)A Comprehensive Survey of Driving Monitoring and Assistance Systems (2019)Decision-making in driver-automation shared control: A review and perspectives (2020)DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis (2020)
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References

  • 1990Subjective and Objective Sleepiness in the Active Individual3,088 cited
  • 1997Cumulative Sleepiness, Mood Disturbance, and Psychomotor Vigilance Performance Decrements During a Week of Sleep Restricted to 4–5 Hours per Night2,022 cited
  • 2004Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue752 cited
  • 2007Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines482 cited
  • 2015Driver Behavior Analysis for Safe Driving: A Survey404 cited
  • 2005Less effective executive functioning after one night's sleep deprivation360 cited
  • 2010A driver fatigue recognition model based on information fusion and dynamic Bayesian network332 cited
  • 2016Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State328 cited
  • 2016Drowsiness detection using heart rate variability289 cited
  • 2018Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG261 cited
  • 2013Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring253 cited
  • 2007Drowsy Driver Detection Through Facial Movement Analysis232 cited
  • 2013Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures215 cited
  • 2011Driver drowsiness monitoring based on yawning detection202 cited

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  • 2012Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals195 cited
  • 2008Sleep Loss and Sleepiness145 cited
  • Cited by

    • 2022A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS104 cited
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    • 2022A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning72 cited
    • 2023Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity62 cited
    • 2024Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features61 cited
    • 2025Optimized driver fatigue detection method using multimodal neural networks54 cited
    • 2024Fatigue State Recognition System for Miners Based on a Multimodal Feature Extraction and Fusion Framework49 cited
    • 2024Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion43 cited
    • 2020Driver Drowsiness Estimation Based on Factorized Bilinear Feature Fusion and a Long-Short-Term Recurrent Convolutional Network40 cited
    • 2022A Product Fuzzy Convolutional Network for Detecting Driving Fatigue39 cited