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Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks
16 references·2 citing·43 second hop
Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks (2022)Multi-Level Classification of Driver Drow…Driver Drowsiness Detection Based on Respiratory Signal Analysis (2019)Driver Drowsiness Detection B…Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review (2018)Sensor Applications and Physi…From partial and high automation to manual driving: Relationship between non-driving related tasks, drowsiness and take-over performance (2018)From partial and high automat…Automatic driver sleepiness detection using EEG, EOG and contextual information (2018)Automatic driver sleepiness d…Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks (2017)Real-Time Driver Drowsiness D…Electrocardiographic features for the measurement of drivers' mental workload (2017)Electrocardiographic features…Driving behavior classification based on sensor data fusion using LSTM recurrent neural networks (2017)Driving behavior classificati…Drowsiness detection using heart rate variability (2016)Drowsiness detection using he…An Accurate ECG-Based Transportation Safety Drowsiness Detection Scheme (2016)An Accurate ECG-Based Transpo…Machine learning for stress detection from ECG signals in automobile drivers (2015)Machine learning for stress d…EOG-based drowsiness detection using convolutional neural networks (2014)EOG-based drowsiness detectio…Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier (2013)Detection of Driver Drowsines…Detecting Driver Drowsiness Based on Sensors: A Review (2012)Detecting Driver Drowsiness B…Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)Applying neural network analy…Subjective and Objective Sleepiness in the Active Individual (1990)Subjective and Objective Slee…Quantification of Sleepiness: A New Approach (1973)Quantification of Sleepiness:…Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models (2025)Drowsiness Detection in Drive…EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism (2023)EEG and ECG-Based Multi-Senso…A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects (1969)Cumulative Sleepiness, Mood Disturbance, and Psychomotor Vigilance Performance Decrements During a Week of Sleep Restricted to 4–5 Hours per Night (1997)Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: a sleep dose‐response study (2003)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)A critical review of the psychophysiology of driver fatigue (2001)Driver Behavior Analysis for Safe Driving: A Survey (2015)Driver Fatigue Detection Systems: A Review (2018)A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving (2019)Sleep related vehicle accidents (1995)Driver fatigue: Electroencephalography and psychological assessment (2002)Automated Detection of Engagement Using Video-Based Estimation of Facial Expressions and Heart Rate (2016)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)STOP, THAT and One Hundred Other Sleep Scales (2012)Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions (2017)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Activity-Aware Mental Stress Detection Using Physiological Sensors (2012)Multimodal Features for Detection of Driver Stress and Fatigue: Review (2020)A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans (2021)Review of Stress Detection Methods Using Wearable Sensors (2024)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)A driver fatigue recognition model based on information fusion and dynamic Bayesian network (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)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques (2017)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection (2019)Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images (2022)A manual for standardized terminology, techniques and scoring system for sleep stages in human subjects (1968)Catastrophes, Sleep, and Public Policy: Consensus Report (1988)DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis (2020)Detecting driver fatigue using heart rate variability: A systematic review (2022)Driver classification and driving style recognition using inertial sensors (2013)A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms (2015)Need data for driver behaviour analysis? Presenting the public UAH-DriveSet (2016)A Comprehensive Review of Driver Behavior Analysis Utilizing Smartphones (2019)Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021) (2022)A Review of Driving Style Recognition Methods From Short-Term and Long-Term Perspectives (2023)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)
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References

  • 1990Subjective and Objective Sleepiness in the Active Individual3,088 cited
  • 1973Quantification of Sleepiness: A New Approach2,538 cited
  • 2012Detecting Driver Drowsiness Based on Sensors: A Review783 cited
  • 2010Applying neural network analysis on heart rate variability data to assess driver fatigue418 cited
  • 2016Drowsiness detection using heart rate variability289 cited
  • 2017Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks265 cited
  • 2013Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier216 cited
  • 2018Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review202 cited
  • 2017Driving behavior classification based on sensor data fusion using LSTM recurrent neural networks168 cited
  • 2015Machine learning for stress detection from ECG signals in automobile drivers153 cited
  • 2017Electrocardiographic features for the measurement of drivers' mental workload148 cited
  • 2018Automatic driver sleepiness detection using EEG, EOG and contextual information145 cited
  • 2018From partial and high automation to manual driving: Relationship between non-driving related tasks, drowsiness and take-over performance145 cited
  • 2016An Accurate ECG-Based Transportation Safety Drowsiness Detection Scheme

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139 cited
  • 2019Driver Drowsiness Detection Based on Respiratory Signal Analysis121 cited
  • 2014EOG-based drowsiness detection using convolutional neural networks117 cited
  • Cited by

    • 2023EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism40 cited
    • 2025Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models39 cited