Driver drowsiness and distraction are two main reasons for traffic accidents and the related
financial losses. Therefore, researchers have been working for more than a decade on …

Distraction while driving occurs when a driver is engaged in non-driving activities. These
activities reduce the driver's attention and focus on the road, therefore increasing the risk of …

Human factors are the primary catalyst for traffic accidents. Among different factors, fatigue,
distraction, drunkenness, and/or recklessness are the most common types of abnormal …

In this paper, we review the state-of-the-art technologies for driver inattention monitoring,
which can be classified into the following two main categories: 1) distraction and 2) fatigue …

Driver drowsiness has emerged as one of the key factors in recent times' traffic accidents,
which can result in fatalities, serious physical losses, large monetary losses, and significant …

Significant advances in embedded technologies hold promise to characterize and monitor
driver's state of alertness and detect critical levels of driver drowsiness in real-time. While …

Driving and transporting goods are necessary for human activity. As a consequence of
drivers spending a considerable amount of time at the workplace, and usually under …

The exponential growth in road accidents has led to a need for continuous driver monitoring
to enhance road safety. Existing techniques rely on vehicle sensor-based and behavior …

Human drivers have different driving styles, experiences, and emotions due to unique
driving characteristics, exhibiting their own driving behaviors and habits. Various research …

The rate of annual road accidents attributed to drowsy driving are significantly high. Due to
this, researchers have proposed several methods aimed at detecting drivers' drowsiness …