Driver behavior monitoring system as Intelligent Transportation Systems (ITS) have been
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …

Guidelines: 1. Propose an eye-blink detection algorithm that uses facial landmarks as an
input. 2. Evaluate the proposed detector quantitatively based on the ground-truth dataset …

Heart rate data are often collected in human factors studies, including those into vehicle
automation. Advances in open hardware platforms and off-the-shelf photoplethysmogram …

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 …

Driver's status is crucial because one of the main reasons for motor vehicular accidents is
related to driver's inattention or drowsiness. A drowsiness detector on a car can reduce …

Road crashes and related forms of accidents are a common cause of injury and death
among the human population. According to 2015 data from the World Health Organization …

Driver drowsiness is a major cause of fatal accidents, injury, and property damage, and has
become an area of substantial research attention in recent years. The present study …

Using deep learning and a behavioural approach, this study presents a real-time detection
and monitoring system for tired drivers. The objective is to develop and build software that …

Accepted: 28 November 2019 Driver drowsiness is one of the reasons for large number of
road accidents these days. With the advancement in Computer Vision technologies …

Conditionally automated driving (CAD) will lead to a paradigm shift in the field of driver state
monitoring systems. High underload and the possibility of engaging in non-driving related …