Detecting drowsiness among drivers is critical for ensuring road safety and preventing
accidents caused by drowsy or fatigued driving. Research on yawn detection among drivers …

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

Fatigue or drowsiness poses a significant threat to road safety and is a major contributor to
accidents. Promptly warning drowsy drivers can prevent numerous fatal accidents. Various …

The article outlines various approaches to developing a fuzzy decision algorithm designed
for monitoring and issuing warnings about driver drowsiness. This algorithm is based on …

As businesses move towards more customer-centric business models, marketing functions
are becoming increasingly interested in gathering natural, unbiased feedback from …

One major factor in the rising incidence of traffic accidents is the driver's drowsiness.
Innovations in computer vision technology have made it possible to construct smart cams …

Emotion recognition is vital in understanding human behavior and improving the driving
experience. We present a systematic analysis of automatic detection of driver's facial …

Public safety is seriously threatened by drowsy driving, hence attempts have been
undertaken to create reliable tools for spotting it and avoiding collisions. An overview of the …

In today's fast-paced world, road safety remains a critical concern as millions of lives are at
stake every day due to vehicular accidents. Driver tiredness is one of the primary causes of …