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 …

The transition from wakefulness to sleep is a progressive process that is reflected in the
gradual loss of responsiveness, an alteration of cognitive functions, and a drastic shift in …

The great challenges for existing wearable pressure sensors are the degradation of sensing
performance and weak interfacial adhesion owing to the low mechanical transfer efficiency …

Drowsiness-related car accidents continue to have a significant effect on road safety. Many
of these accidents can be eliminated by alerting the drivers once they start feeling drowsy …

Drowsy driving is a widespread cause of traffic accidents, especially on highways. It has
become an essential task to seek an understanding of the situation in order to be able to …

Drowsiness detection is an important task in road safety and other areas that require
sustained attention. In this article, an approach to detect drowsiness in drivers is presented …

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 …

Automotive user interface (AUI) evaluation becomes increasingly complex due to novel
interaction modalities, driving automation, heterogeneous data, and dynamic environmental …

Driver drowsiness is one of the main causes of traffic accidents today. In recent years, driver
drowsiness detection has suffered from issues integrating deep learning (DL) with Internet-of …

The majority of car accidents worldwide are caused by drowsy drivers. Therefore, it is
important to be able to detect when a driver is starting to feel drowsy in order to warn them …