Improving Driver Drowsiness Detection via Personalized EAR/MAR Thresholds and CNN-Based Classification
arXiv:2604.22479v1 Announce Type: new
Abstract: Driver drowsiness is a major cause of traffic accidents worldwide, posing a serious threat to public safety. Vision-based driver monitoring systems often rely on fixed Eye Aspect Ratio (EAR) and Mouth As…