References

• 2022A Review of Recent Developments in Driver Drowsiness Detection Systems257 cited
• 2012Prevalence of motor vehicle crashes involving drowsy drivers, United States, 1999–2008175 cited
• 2022Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images160 cited
• 2019Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and Eye Closure Ratio146 cited
• 2020A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion143 cited
• 2019Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State142 cited
• 2019Driver Drowsiness Detection Based on Respiratory Signal Analysis121 cited
• 2021A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification106 cited
• 2017Driver drowsiness detection using facial dynamic fusion information and a DBN96 cited
• 2023A CNN-Based Approach for Driver Drowsiness Detection by Real-Time Eye State Identification90 cited
• 2021An Efficient Approach for Detecting Driver Drowsiness Based on Deep Learning74 cited

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