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Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals
16 references·0 citing·45 second hop
Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals (2022)Data-driven learning fatigue detection sy…Self-Supervised ECG Representation Learning for Emotion Recognition (2020)Self-Supervised ECG Represent…Real-time classification for autonomous drowsiness detection using eye aspect ratio (2020)Real-time classification for …Detection and analysis: driver state with electrocardiogram (ECG) (2020)Detection and analysis: drive…Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges (2019)Driver Drowsiness Measurement…A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)A Survey on State-of-the-Art …A Real-time Driving Drowsiness Detection Algorithm With Individual Differences Consideration (2019)A Real-time Driving Drowsines…A machine learning model for emotion recognition from physiological signals (2019)A machine learning model for …Real-Time ECG-Based Detection of Fatigue Driving Using Sample Entropy (2018)Real-Time ECG-Based Detection…Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques (2018)Real-time Driver Drowsiness D…Automatic ECG-Based Emotion Recognition in Music Listening (2017)Automatic ECG-Based Emotion R…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…Stress and anxiety detection using facial cues from videos (2016)Stress and anxiety detection …Drowsiness detection using heart rate variability (2016)Drowsiness detection using he…A driver fatigue recognition model based on information fusion and dynamic Bayesian network (2010)A driver fatigue recognition …Sample Entropy (2004)Sample EntropyA critical review of the psychophysiology of driver fatigue (2001)Toward machine emotional intelligence: analysis of affective physiological state (2001)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Detection and prediction of driver drowsiness using artificial neural network models (2017)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)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)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)The expression of the emotions in man and animals. (1872)Stress, appraisal, and coping (1985)Stress: Appraisal and Coping (2013)The association between smartphone use, stress, and anxiety: A meta‐analytic review (2018)A survey of machine learning techniques in physiology based mental stress detection systems (2019)Stress Detection with Machine Learning and Deep Learning using Multimodal Physiological Data (2020)Driver fatigue: Electroencephalography and psychological assessment (2002)Monotony of road environment and driver fatigue: a simulator study (2003)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review (2018)A Comprehensive Survey of Driving Monitoring and Assistance Systems (2019)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)A circumplex model of affect. (1980)An argument for basic emotions (1992)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)EEG-based emotion recognition using 4D convolutional recurrent neural network (2020)Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel Machine (2020)Emotion recognition in EEG signals using deep learning methods: A review (2023)Subjective sleepiness, simulated driving performance and blink duration: examining individual differences (2006)Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges (2020)Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review (2023)II.—WHAT IS AN EMOTION ? (1884)VREED (2021)A review on EEG-based multimodal learning for emotion recognition (2025)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Electrocardiogram-Based Emotion Recognition Systems and Their Applications in Healthcare—A Review (2021)Self-Supervised EEG Emotion Recognition Models Based on CNN (2023)Approximate entropy as a measure of system complexity. (1991)Ordinal Patterns, Entropy, and EEG (2014)Emotion classification from speech signal based on empirical mode decomposition and non-linear features (2021)A novel fractional time-delayed grey Bernoulli forecasting model and its application for the energy production and consumption prediction (2022)Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and Eye Closure Ratio (2019)Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application (2020)
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References

  • 2004Sample Entropy415 cited
  • 2020Self-Supervised ECG Representation Learning for Emotion Recognition388 cited
  • 2019A Survey on State-of-the-Art Drowsiness Detection Techniques364 cited
  • 2016Stress and anxiety detection using facial cues from videos343 cited
  • 2010A driver fatigue recognition model based on information fusion and dynamic Bayesian network332 cited
  • 2016Drowsiness detection using heart rate variability289 cited
  • 2017A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability285 cited
  • 2017Automatic ECG-Based Emotion Recognition in Music Listening259 cited
  • 2018Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques251 cited
  • 2019A machine learning model for emotion recognition from physiological signals232 cited
  • 2020Real-time classification for autonomous drowsiness detection using eye aspect ratio176 cited
  • 2016The ULg multimodality drowsiness database (called DROZY) and examples of use150 cited
  • 2019Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges132 cited
  • 2019A Real-time Driving Drowsiness Detection Algorithm With Individual Differences Consideration128 cited

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  • 2018Real-Time ECG-Based Detection of Fatigue Driving Using Sample Entropy118 cited
  • 2020Detection and analysis: driver state with electrocardiogram (ECG)117 cited
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