Driver fatigue has been attributed to traffic accidents; therefore, fatigue-related traffic
accidents have a higher fatality rate and cause more damage to the surroundings compared …

There are several factors for vehicle accidents during driving such as drivers' negligence,
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …

Drowsiness or fatigue is a major cause of road accidents and has significant implications for
road safety. Several deadly accidents can be prevented if the drowsy drivers are warned in …

This work presents the development of an ADAS (advanced driving assistance system)
focused on driver drowsiness detection, whose objective is to alert drivers of their drowsy …

Not just detecting but also predicting impairment of a car driver's operational state is a
challenge. This study aims to determine whether the standard sources of information used to …

This paper presents a novel feature selection method to design a non-invasive driver
drowsiness detection system based on steering wheel data. The proposed feature selector …

This paper focuses on the challenge of driver safety on the road and presents a novel
system for driver drowsiness detection. In this system, to detect the falling sleep state of the …

Introduction: The field of artificial intelligence (AI) is rapidly expanding, with many
applications seen routinely in health care, industry, and education, and increasingly in …

Monitoring car drivers for drowsiness is crucial but challenging. The high inter-individual
variability observed in measurements raises questions about the accuracy of the drowsiness …

Drowsy driving is one of the main causes of road accidents. Accurate and reliable detection
of drivers' drowsiness is significantly important to prevent drowsiness-related accidents. In …