Continuous advancements in computing technology and artificial intelligence in the past
decade have led to improvements in driver monitoring systems. Numerous experimental …

As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

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 …

Introduction: Fatigue is one of the most crucial factors that contribute to a decrease of the
operating performance of aircraft pilots and car drivers and, as such, plays a dangerous role …

The advent of in-vehicle networking systems as well as state-of-the-art sensors and
communication technologies have facilitated the collection of large volume and almost real …

In the construction industry, the operator's mental fatigue is one of the most important causes
of construction equipment-related accidents. Mental fatigue can easily lead to poor …

Abstract To apply Artificial Intelligence (AI), Machine Learning (ML) and Machine Reasoning
(MR) in health informatics are often challenging as they comprise with multivariate …

Monitoring driving status has great potential in helping us decline the occurrence probability
of traffic accidents and the aim of this research is to develop a novel system for driving stress …

Early detection of driver mental fatigue is one of the active areas of research in smart and
intelligent vehicles. There are various methods, based on measuring the physiological …

Distracted driving such as phone use during driving is risky, as it increases the probability of
severe crashes. Detecting distraction using Naturalistic Driving Studies was attempted in …