Drowsy driving can significantly affect driving performance and overall road safety.
Statistically, the main causes are decreased alertness and attention of the drivers. The …

Road mishaps, a global concern, see driver fatigue contributing to roughly 40% of accidents
in India. Detecting drowsiness early is pivotal in countering this threat. Despite prior …

Drowsiness detection holds paramount importance in ensuring safety in workplaces or
behind the wheel, enhancing productivity, and healthcare across diverse domains …

This paper introduces a transformative edge computing-based approach for enhancing
driver attention and road safety using EEG-driven deep reinforcement learning (DRL). As …

Drowsiness is a main factor for various costly defects, even fatal accidents in areas such as
construction, transportation, industry and medicine, due to the lack of monitoring vigilance in …

Driver drowsiness detection is a critical field of research within automotive safety, aimed at
identifying signs of fatigue in drivers to prevent accidents. Drowsiness impairs a driver's …

In today's analysis of traffic accident reports it becomes evident that most driving accidents
result from driver drowsiness, fatigue, and lack of alertness. At these moments, drivers …

Road accidents are on the rise worldwide, causing 1.35 million deaths per year, thus
encouraging the search for solutions. The promising proposal of autonomous vehicles …

High-throughput liquid handling workstations are required to process large numbers of test
samples in the fields of life sciences and medicine. Liquid retention and droplets hanging in …

The study of gaze tracking is a significant research area in computer vision. It focuses on
real-world applications and the interface between humans and computers. Recently, new …