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Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection

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References

2004Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue752 cited
2002Driver fatigue: Electroencephalography and psychological assessment533 cited
2003Development of an algorithm for an EEG-based driver fatigue countermeasure352 cited
2016Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State328 cited
2017Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network318 cited
2017Detection and prediction of driver drowsiness using artificial neural network models286 cited
2017Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks265 cited
2018Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques251 cited
2017Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks179 cited
2009Steering Wheel Behavior Based Estimation of Fatigue142 cited
2005Monitoring mouth movement for driver fatigue or distraction with one camera127 cited

Cited by

2020Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges137 cited
2020Real-Time System for Driver Fatigue Detection Based on a Recurrent Neuronal Network112 cited

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2023

Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features

111 cited

2022A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS104 cited

2020Driver Safety Development: Real-Time Driver Drowsiness Detection System Based on Convolutional Neural Network103 cited

2020Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis92 cited

2023A systematic review on detection and prediction of driver drowsiness80 cited

2021Driver Fatigue Detection Based on Facial Key Points and LSTM75 cited

2022A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning72 cited

2021A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions68 cited

2023System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures62 cited

2023Real-time driver fatigue detection system with deep learning on a low-cost embedded system57 cited

2023Bi-Branch Vision Transformer Network for EEG Emotion Recognition56 cited