Driver Drowsiness Estimation from Facial Expressions

This project is a vision-based driver drowsiness estimation system from facial expressions. Our system can estimate drowsiness levels accurately, which can prevent drivers from fatigue driving in the early stage. Compared to previous approaches such as Electrogastrogram (EGG) or binary detection CNN models, this system is both user-friendly and accurate.