Driver fatigue is the most important factor in the increase in the frequency of traffic accidents
and fatalities every year. Fatigue impairs driving performance through a lack of …

Deep learning, eg, convolutional neural networks (CNNs), has achieved great success in
image processing and computer vision especially in high-level vision applications, such as …

The increasing number of traffic accidents is principally caused by fatigue. In fact, the fatigue
presents a real danger on road since it reduces driver capacity to react and analyze …

Accident prediction is one of the most critical aspects of road safety, whereby an accident
can be predicted before it actually occurs and precautionary measures taken to avoid it. For …

The international statistics shows that a large number of road accidents are caused by driver
fatigue. Therefore, a system that can detect oncoming driver fatigue and issue timely …

The modern intelligent transportation system opts for accident prediction modules as a
critical aspect for road safety. Where, an accident is predicted before it actually happens and …

Due to the advancement of science and technology, modern cars are highly technical, more
activity occurs inside the car and driving is faster; however, statistics show that the number of …

Recently, brain-computer interface (BCI) technology has made impressive progress and has
been developed for many applications. Thereinto, the BCI system based on rapid serial …

In this work various methods and algorithms for face and eyes detection are examined in
order to decide which of them are applicable for use in a driver fatigue monitoring system. In …

This work addresses the problem of profiling drivers based on their driving features. A
purpose-built hardware integrated with a software tool is used to record data from multiple …