References

• 2017Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network318 cited
• 2018Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques251 cited
• 2017Video-based emotion recognition in the wild using deep transfer learning and score fusion235 cited
• 2020Real Time Driver Fatigue Detection System Based on Multi-Task ConNN180 cited
• 2012Prevalence of motor vehicle crashes involving drowsy drivers, United States, 1999–2008175 cited
• 2018Detecting distraction of drivers using Convolutional Neural Network138 cited
• 2021Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network136 cited
• 2020Detection and analysis: driver state with electrocardiogram (ECG)117 cited
• 2021A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification106 cited
• 2019Driver fatigue detection based on deeply-learned facial expression representation102 cited
• 2021Using long short term memory and convolutional neural networks for driver drowsiness detection93 cited
• 2018Adapting artificial neural networks to a specific driver enhances detection and prediction of drowsiness81 cited
• 2005Development of vehicle driver drowsiness detection system using electrooculogram (EOG)77 cited
• 2020