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DrowsyDetectNet: Driver Drowsiness Detection Using Lightweight CNN With Limited Training Data
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DrowsyDetectNet: Driver Drowsiness Detection Using Lightweight CNN With Limited Training Data (2024)DrowsyDetectNet: Driver Drowsiness Detect…System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures (2023)System and Method for Driver …Driver drowsiness detection and smart alerting using deep learning and IoT (2023)Driver drowsiness detection a…A CNN-Based Approach for Driver Drowsiness Detection by Real-Time Eye State Identification (2023)A CNN-Based Approach for Driv…4D: A Real-Time Driver Drowsiness Detector Using Deep Learning (2023)4D: A Real-Time Driver Drowsi…Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences (2022)Research on a Real-Time Drive…Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images (2022)Driver Drowsiness Detection b…Hierarchical deep neural networks to detect driver drowsiness (2021)Hierarchical deep neural netw…Fatigue Driving Detection Based on Deep Learning and Multi-Index Fusion (2021)Fatigue Driving Detection Bas…Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks (2021)Effects of dataset characteri…An Efficient Approach for Detecting Driver Drowsiness Based on Deep Learning (2021)An Efficient Approach for Det…Deep CNN models-based ensemble approach to driver drowsiness detection (2020)Deep CNN models-based ensembl…Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)Deep CNN: A Machine Learning …A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)A Survey on State-of-the-Art …A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability (2017)A Hybrid Approach to Detect D…Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Recent Trends in Driver Safet…Drowsiness estimation under driving environment by heart rate variability and/or breathing rate variability with logistic regression analysis (2015)Drowsiness estimation under d…NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE (2001)Driver distraction and driver inattention: Definition, relationship and taxonomy (2011)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)A data analytic framework for physical fatigue management using wearable sensors (2020)Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN (2020)Driver fatigue transition prediction in highly automated driving using physiological features (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)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)Chapter 12: What does the Anthropocene hold for citizenship? (1905)Driver drowsiness detection with eyelid related parameters by Support Vector Machine (2008)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)A Deep-Learning Approach to Driver Drowsiness Detection (2023)Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features (2023)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling (2021)Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques (2018)Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application (2020)IoT‐Based Smart Alert System for Drowsy Driver Detection (2021)An overview of sleepiness and accidents (1995)Fatigue, alcohol and performance impairment (1997)Deep learning applications and challenges in big data analytics (2015)A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS (2022)Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach (2025)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)The link between fatigue and safety (2010)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism (2023)Fatigue, sleep restriction and driving performance (2005)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques (2024)Driver Drowsiness Detection Based on Convolutional Neural Network Architecture Optimization Using Genetic Algorithm (2024)Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State (2024)YawDD (2014)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio (2024)Novel Transfer Learning Approach for Driver Drowsiness Detection Using Eye Movement Behavior (2024)
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References

  • 2019A Survey on State-of-the-Art Drowsiness Detection Techniques364 cited
  • 2017A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability285 cited
  • 2020Deep CNN models-based ensemble approach to driver drowsiness detection213 cited
  • 2016Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges168 cited
  • 2022Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images160 cited
  • 2019Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State142 cited
  • 2023A CNN-Based Approach for Driver Drowsiness Detection by Real-Time Eye State Identification90 cited
  • 20234D: A Real-Time Driver Drowsiness Detector Using Deep Learning86 cited
  • 2022Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences78 cited
  • 2021An Efficient Approach for Detecting Driver Drowsiness Based on Deep Learning74 cited
  • 2021Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks65 cited
  • 2023Driver drowsiness detection and smart alerting using deep learning and IoT63 cited
  • 2023System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures62 cited
  • 2021

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Hierarchical deep neural networks to detect driver drowsiness
43 cited
  • 2021Fatigue Driving Detection Based on Deep Learning and Multi-Index Fusion43 cited
  • 2015Drowsiness estimation under driving environment by heart rate variability and/or breathing rate variability with logistic regression analysis36 cited
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