A recent study "Real-time anti-sleep alert algorithm ... fatigue using convolutional neural networks (CNNs) and computer vision. The system relies on a USB camera to capture images of the driver’s ...

This study systematically reviewed empirical studies (with reported performance measures) on driver drowsiness detection (DDD ... the decision-making algorithms used to classify and predict drowsiness ...

This project implements a real-time driver drowsiness detection system using Python, OpenCV, and dlib. The system monitors a driver's face through a webcam and detects signs of drowsiness, such as eye ...

Abstract: In today’s analysis of traffic accident reports it becomes evident that most driving accidents result from driver drowsiness ... has been obtained using a genetic algorithm, with FER-2013 ...

The detection of PD is a significant challenge for clinicians, mostly attributable to the inherent complexities associated with its treatment. The use of artificial intelligence algorithms based ...

In this preface, A passive brain-computer interface (pBCI) scheme using multichannel electroencephalography (EEG) brain signals is developed for spatially localized and accurate detection of human ...