An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

A wearable system for the personalized EEG-based detection of engagement in learning 4.0
is proposed. In particular, the effectiveness of the proposed solution is assessed by means …

Drowsiness detection (DD) has become a relevant area of active research in biomedical
signal processing. Recently, various deep learning (DL) researches based on the EEG …

Drowsiness is a major risk factor for road safety, contributing to serious injury, death, and
economic loss on the road. Driving performance decreases because of increased …

Objective: Blink-related features derived from electroencephalography (EEG) have recently
arisen as a meaningful measure of driver's cognitive state. Combined with band power …

In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …

Objective: The driver fatigue detection using multi-channel electroencephalography (EEG)
has been extensively addressed in the literature. However, the employment of a single …

Detection and monitoring of neural signals is a fast-advancing area of research expected to
impact a broad range of advanced applications, from healthcare to brain–machine and even …

Driving a vehicle is a complex, multidimensional, and potentially risky activity demanding full
mobilization and utilization of physiological and cognitive abilities. Drowsiness, often caused …