Driver fatigue detection is of great significance for guaranteeing traffic safety and further
reducing economic as well as societal loss. In this article, a novel complex network (CN) …

Driver drowsiness is one of the leading causes of fatal road traffic accidents (RTA). While
studies have illustrated the effectiveness of spatial criteria on driver drowsiness, the effects …

This paper presents a camera-based prototype sensor for detecting fatigue and drowsiness
in drivers, which are common causes of road accidents. The evaluation of the detector …

The development of neural networks and machine learning techniques has recently been
the cornerstone for many applications of artificial intelligence. These applications are now …

Driving fatigue is an important factor leading to traffic accidents. For this reason, we propose
a non-interference fatigue detection system, which consists of a steering wheel embedded …

Drowsy driving highly contributes to a number of road accidents throughout the years. Car
crashes or any unwanted incidents can be avoided by implementing a system with alarm …

Driver drowsiness and fatigue are two of the most common causes of automobile accidents.
Yearly, the number of deaths in addition to fatalities rises dramatically owing to a variety of …

The increasing number of vehicles on Indian roads and low traffic rules enforcement lead to
multiple human-error induced crashes and fatalities. In this paper, we propose a driver …

Following patients with chronic sleep disorders involves multiple appointments between
doctors and patients which often results in episodic follow-ups with unevenly spaced …

The fatigue state of nuclear power operators is of vital importance to the safe operation of a
nuclear power plant. With the development of the digital manipulation interface in recent …