It then trains a deep learning model on this dataset using data augmentation techniques. The proposed driver drowsiness detection system was trained and evaluated on two datasets: YawDD and CEW. The ...

Abstract: This study develops a real-time drowsiness detection system ... it uses the data from the previous step and PERCLOS to establish a fatigue model, and finally, based on the driver's personal ...

A recent study "Real-time anti ... and across diverse driver demographics, unlike older rule-based detection systems. Furthermore, the system incorporates transfer learning, allowing pre-trained ...

Abstract: This study develops a real-time drowsiness detection system ... it uses the data from the previous step and PERCLOS to establish a fatigue model, and finally, based on the driver's personal ...