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A Survey on State-of-the-Art Drowsiness Detection Techniques
1 references·16 citing·39 second hop
A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)A Survey on State-of-the-Art Drowsiness D…Subjective sleepiness, simulated driving performance and blink duration: examining individual differences (2006)Subjective sleepiness, simula…Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features (2023)Real-Time Machine Learning-Ba…Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review (2023)Machine learning and deep lea…4D: A Real-Time Driver Drowsiness Detector Using Deep Learning (2023)4D: A Real-Time Driver Drowsi…A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)A Review of Recent Developmen…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…Survey and Synthesis of State of the Art in Driver Monitoring (2021)Survey and Synthesis of State…Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches (2021)Physiological signal-based dr…Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning (2021)Estimation of Driver Vigilanc…Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning (2021)Early Identification and Dete…A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions (2021)A Multi-Stage, Multi-Feature …A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification (2021)A Framework for Instantaneous…HCF: A Hybrid CNN Framework for Behavior Detection of Distracted Drivers (2020)HCF: A Hybrid CNN Framework f…EDDD: Event-Based Drowsiness Driving Detection Through Facial Motion Analysis With Neuromorphic Vision Sensor (2020)EDDD: Event-Based Drowsiness …Driver Fatigue Detection Method Based on Eye States With Pupil and Iris Segmentation (2020)Driver Fatigue Detection Meth…Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges (2020)Detecting Human Driver Inatte…Automated Road Safety Surveillance System using Hybrid CNN-LSTM Approach (2020)Automated Road Safety Surveil…Subjective and Objective Sleepiness in the Active Individual (1990)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)Subjective sleepiness is a sensitive indicator of insufficient sleep and impaired waking function (2014)Detection and prediction of driver drowsiness using artificial neural network models (2017)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time System for Monitoring Driver Vigilance (2006)Driver Fatigue Detection Systems: A Review (2018)Complacency and Bias in Human Use of Automation: An Attentional Integration (2010)Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017)Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis (2020)The Effects of the Driver’s Mental State and Passenger Compartment Conditions on Driving Performance and Driving Stress (2020)Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach (2019)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)Driver behavior detection and classification using deep convolutional neural networks (2020)A Survey on Driver Behavior Analysis From In-Vehicle Cameras (2021)A survey on vision-based driver distraction analysis (2021)Distracted Driver Detection Based on a CNN With Decreasing Filter Size (2021)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)The link between fatigue and safety (2010)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)A Deep-Learning Approach to Driver Drowsiness Detection (2023)A systematic review on detection and prediction of driver drowsiness (2023)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)Driver Behavior Analysis for Safe Driving: A Survey (2015)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations (1985)Fatigue, alcohol and performance impairment (1997)Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation (2022)Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity (2023)Approach to an irregular time series on the basis of the fractal theory (1988)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)A CNN-Based Approach for Driver Drowsiness Detection by Real-Time Eye State Identification (2023)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety (2023)Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach (2025)Technologies for detecting and monitoring drivers' states: A systematic review (2024)Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities (2025)
this work references cited by second hop

References

  • 2006Subjective sleepiness, simulated driving performance and blink duration: examining individual differences361 cited

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82 cited
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