References

• 2015Driver Behavior Analysis for Safe Driving: A Survey404 cited
• 2019A Survey on State-of-the-Art Drowsiness Detection Techniques378 cited
• 2016Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data255 cited
• 2017Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers245 cited
• 2019A Comprehensive Survey of Driving Monitoring and Assistance Systems221 cited
• 2021Driver stress detection via multimodal fusion using attention-based CNN-LSTM199 cited
• 2020Real-time classification for autonomous drowsiness detection using eye aspect ratio176 cited
• 2016Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges168 cited
• 2020A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion143 cited
• 2014Assessment of early onset of driver fatigue using multimodal fatigue measures in a static simulator134 cited
• 2020Driver fatigue transition prediction in highly automated driving using physiological features117 cited
• 2020Vision-Based Fatigue Driving Recognition Method Integrating Heart Rate and Facial Features109 cited
• 2020Distracted driver detection by combining in-vehicle and image data using deep learning94 cited
• 2020Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis