The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …

Electroencephalography-based sleepiness detection system (ESDS) is a brain-computer
interface that evaluates a driver's sleepiness level directly from cerebral activity. The goals of …

Statistics have shown that many accidents occur due to drowsy condition of drivers. In a
study conducted by National Sleep Foundation, it has been found that about 20% of drivers …

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 …

Drunkenness or exhaustion is a leading cause of car accidents, with severe implications for
road safety. More fatal accidents could be avoided if fatigued drivers were warned ahead of …

Drowsy driving imposes a high safety risk. Current systems often use driving behavior
parameters for driver drowsiness detection. The continuous driving automation reduces the …

IoT has become the largest network worldwide, of which smart wearables and intelligent
vehicles constitute essential parts. The integration of smart wearables and intelligent …

Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …

It is only a matter of time until autonomous vehicles become ubiquitous; however, human
driving supervision will remain a necessity for decades. To assess the driver's ability to take …

The aim of this article is to review and analyse previous academic articles associated with
car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits …