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Real-Time Driver-Drowsiness Detection System Using Facial Features

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References

2012Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness1,336 cited
2015Driver Behavior Analysis for Safe Driving: A Survey404 cited
2014YawDD294 cited

Cited by

2022A Review of Recent Developments in Driver Drowsiness Detection Systems257 cited
2023Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review144 cited
2021A Survey on Driver Behavior Analysis From In-Vehicle Cameras107 cited
2020Driver Safety Development: Real-Time Driver Drowsiness Detection System Based on Convolutional Neural Network103 cited
2025Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach99 cited
2021Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning74 cited
2022Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques60 cited
2023Real-time driver fatigue detection system with deep learning on a low-cost embedded system57 cited
2024Technologies for detecting and monitoring drivers' states: A systematic review56 cited

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