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Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection
5 references·6 citing·34 second hop
Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection (2019)Driver Drowsiness Detection Based on Stee…Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions (2017)Online Detection of Driver Fa…Detection and prediction of driver drowsiness using artificial neural network models (2017)Detection and prediction of d…A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability (2017)A Hybrid Approach to Detect D…Driver drowsiness detection based on non-intrusive metrics considering individual specifics (2015)Driver drowsiness detection b…Steering Wheel Behavior Based Estimation of Fatigue (2009)Steering Wheel Behavior Based…Driver drowsiness estimation using EEG signals with a dynamical encoder–decoder modeling framework (2022)Driver drowsiness estimation …Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation (2022)Challenges of Driver Drowsine…Trends and Future Prospects of the Drowsiness Detection and Estimation Technology (2021)Trends and Future Prospects o…A Novel Learning Model of Driver Fatigue Features Representation for Steering Wheel Angle (2021)A Novel Learning Model of Dri…Evaluation of driver drowsiness using respiration analysis by thermal imaging on a driving simulator (2020)Evaluation of driver drowsine…Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures (2020)Applying deep neural networks…Approximate entropy as a measure of system complexity. (1991)Monotony of road environment and driver fatigue: a simulator study (2003)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges (2020)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review (2023)Driver fatigue: Electroencephalography and psychological assessment (2002)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 New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)A critical review of the psychophysiology of driver fatigue (2001)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)Automatic driver sleepiness detection using EEG, EOG and contextual information (2018)Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology (2019)Subjective and Objective Sleepiness in the Active Individual (1990)Evaluation of driver drowsiness by trained raters (1994)A driver fatigue recognition model based on information fusion and dynamic Bayesian network (2010)Optimized driver fatigue detection method using multimodal neural networks (2025)Quantification of Sleepiness: A New Approach (1973)Drowsiness detection using heart rate variability (2016)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)Using EEG spectral components to assess algorithms for detecting fatigue (2008)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)Mixed Transport Network Prioritization Based on Environmental Impact and Population Density (2022)Subjective sleepiness, simulated driving performance and blink duration: examining individual differences (2006)Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network (2021)Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection (2019)Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges (2019)
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References

  • 2017Detection and prediction of driver drowsiness using artificial neural network models286 cited
  • 2017A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability285 cited
  • 2017Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions206 cited
  • 2015Driver drowsiness detection based on non-intrusive metrics considering individual specifics172 cited
  • 2009Steering Wheel Behavior Based Estimation of Fatigue142 cited

Cited by

  • 2020Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures87 cited
  • 2021A Novel Learning Model of Driver Fatigue Features Representation for Steering Wheel Angle80 cited
  • 2022Driver drowsiness estimation using EEG signals with a dynamical encoder–decoder modeling framework73 cited
  • 2020Evaluation of driver drowsiness using respiration analysis by thermal imaging on a driving simulator66 cited
  • 2022Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation55 cited
  • 2021Trends and Future Prospects of the Drowsiness Detection and Estimation Technology51 cited

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