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Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques
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(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 CNN-Based Approach for Driver Drowsiness Detection by Real-Time Eye State Identification (2023)A Deep-Learning Approach to Driver Drowsiness Detection (2023)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)IoT‐Based Smart Alert System for Drowsy Driver Detection (2021)4D: A Real-Time Driver Drowsiness Detector Using Deep Learning (2023)Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach (2025)The Measurement of Observer Agreement for Categorical Data (1977)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)A systematic review of physiological signals based driver drowsiness detection systems (2022)Real-time driver monitoring system with facial landmark-based eye closure detection and head pose recognition (2023)Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities (2025)Detecting Driver Drowsiness Based on Sensors: A Review (2012)YawDD (2014)A Survey on Driver Behavior Analysis From In-Vehicle Cameras (2021)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)The link between fatigue and safety (2010)A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)A systematic review on detection and prediction of driver drowsiness (2023)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier (2013)A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability (2017)A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS (2022)Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets (2022)Real-Time Driver Drowsiness Detection Using Facial Analysis and Machine Learning Techniques (2025)Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors (2017)Driver Distraction Identification with an Ensemble of Convolutional Neural Networks (2019)Driver behavior detection and classification using deep convolutional neural networks (2020)Real-time driver distraction recognition: A hybrid genetic deep network based approach (2022)Eye Aspect Ratio for Real-Time Drowsiness Detection to Improve Driver Safety (2022)
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  • 2020Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application213 cited
  • 2019Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and Eye Closure Ratio146 cited
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  • 2019Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection123 cited
  • 2021Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling115 cited
  • 2020Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection107 cited
  • 2021A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification106 cited
  • 2020Driver Safety Development: Real-Time Driver Drowsiness Detection System Based on Convolutional Neural Network103 cited
  • 2022Automatic driver distraction detection using deep convolutional neural networks92 cited
  • 2020Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures87 cited
  • 2020Cloud-Based Driver Monitoring System Using a Smartphone81 cited
  • 2023IoT-Based Non-Intrusive Automated Driver Drowsiness Monitoring Framework for Logistics and Public Transport Applications to Enhance Road Safety79 cited

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2021
An Efficient Approach for Detecting Driver Drowsiness Based on Deep Learning
74 cited
  • 2019Detecting Driver Drowsiness in Real Time Through Deep Learning Based Object Detection66 cited
  • 2021CNN Based Driver Drowsiness Detection System Using Emotion Analysis66 cited
  • 2023System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures62 cited