Drivers cognitive and physiological states affect their ability to control their vehicles. Thus,
these driver states are important to the safety of automobiles. The design of advanced driver …

The detection of unfavorable driving states (UDS) of drivers based on electroencephalogram
(EEG) measures has received continuous attention from extensive scholars on account of …

Vehicle driver's ability to maintain optimal performance and attention is essential to ensure
the safety of the traffic. Electroencephalography (EEG) signals have been proven to be …

In this work, we developed a novel system to detect the braking intention of drivers in
emergency situations using electroencephalogram (EEG) signals. The system acquired …

The driver is one of the most important factors in the safety of the transportation system. The
driver's perceptual characteristics are closely related to driving behavior, while …

A variety of technologies that could enhance driving safety are being actively explored, with
the aim of reducing traffic accidents by accurately recognizing the driver's state. In this field …

The anticipatory recognition of braking is essential to prevent traffic accidents. For instance,
driving assistance systems can be useful to properly respond to emergency braking …

Electroencephalography (EEG) signals have been proven to be effective in evaluating
human's cognitive state under specific tasks. Conventional classification models utilized for …

In this paper, we propose a new approach of detecting emergency braking intention for brain-
controlled vehicles by interpreting electroencephalography (EEG) signals of drivers …

Driving is an essential activity in today's busy and complex society, and it demands physical
and mental abilities, collectively known as a driving workload. For safe and comfortable …