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Driver Drowsiness Detection Based on Respiratory Signal Analysis
9 references·4 citing·41 second hop
Driver Drowsiness Detection Based on Respiratory Signal Analysis (2019)Driver Drowsiness Detection Based on Resp…Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Heart Rate Variability-Based …A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability (2017)A Hybrid Approach to Detect D…Drowsiness detection using heart rate variability (2016)Drowsiness detection using he…Detecting driver drowsiness using feature-level fusion and user-specific classification (2013)Detecting driver drowsiness u…Fixed‐Effect Versus Random‐Effects Models (2009)Fixed‐Effect Versus Random‐Ef…A visual approach for driver inattention detection (2007)A visual approach for driver …Drowsy driving and automobile crashes (1998)Drowsy driving and automobile…RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT (1994)RESEARCH ON VEHICLE-BASED DRI…The Measurement of Observer Agreement for Categorical Data (1977)The Measurement of Observer A…A Deep-Learning Approach to Driver Drowsiness Detection (2023)A Deep-Learning Approach to D…A systematic review of physiological signals based driver drowsiness detection systems (2022)A systematic review of physio…Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning (2021)Early Identification and Dete…Evaluation of driver drowsiness using respiration analysis by thermal imaging on a driving simulator (2020)Evaluation of driver drowsine…Real-Time System for Monitoring Driver Vigilance (2006)Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Head movement-based driver drowsiness detection: A review of state-of-art techniques (2016)A contextual and temporal algorithm for driver drowsiness detection (2018)Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis (2020)Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Online Driver Distraction Detection Using Long Short-Term Memory (2011)Real-Time Detection System of Driver Distraction Using Machine Learning (2013)A Coefficient of Agreement for Nominal Scales (1960)Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. 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(1998)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)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)Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers (2017)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)International Classification of Sleep Disorders-Third Edition (2014)Principles and Practice of Sleep Medicine (2016)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)What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data (2011)Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model (2023)A meta-analysis of the risk for psychotic disorders among first- and second-generation immigrants (2010)The better-than-average effect in comparative self-evaluation: A comprehensive review and meta-analysis. (2019)The Relationship Between Math Anxiety and Math Performance: A Meta-Analytic Investigation (2019)EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT (1998)A probabilistic framework for modeling and real-time monitoring human fatigue (2006)Efficient driver drowsiness detection at moderate levels of drowsiness (2012)Tonic Changes in EEG Power Spectra during Simulated Driving (2009)A Multi-Modal Driver Fatigue and Distraction Assessment System (2015)Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges (2020)
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References

  • 1977The Measurement of Observer Agreement for Categorical Data81,000 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
  • 1994RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT261 cited
  • 2018Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG261 cited
  • 2009Fixed‐Effect Versus Random‐Effects Models246 cited
  • 2007A visual approach for driver inattention detection218 cited
  • 2013Detecting driver drowsiness using feature-level fusion and user-specific classification162 cited
  • 1998Drowsy driving and automobile crashes124 cited

Cited by

  • 2022A systematic review of physiological signals based driver drowsiness detection systems97 cited
  • 2021Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning93 cited
  • 2023A Deep-Learning Approach to Driver Drowsiness Detection73 cited
  • 2020Evaluation of driver drowsiness using respiration analysis by thermal imaging on a driving simulator66 cited

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