In recent years, numerous brain–computer interfaces (BCIs) based on motor-imagery have
been proposed which incorporate features such as adaptive classification, error detection …

Objective. A brain–computer interface (BCI) equips humans with the ability to control
computers and technical devices mentally. However, the enormous data and the existing …

Objective. Brain-computer interface (BCI) systems read and interpret brain activity directly
from the brain. They can provide a means of communication or locomotion for patients …

A common assumption in traditional supervised learning is the similar probability distribution
of data between the training phase and the testing/operating phase. When transitioning from …

A new multiclass brain-computer interface (BCI) based on the modulation of sensorimotor
oscillations by imagining movements is described. By the application of advanced signal …

Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of
communication through the utilization of neural activity generated due to kinesthetic …

Objective. While motor-imagery based brain–computer interfaces (BCIs) have been studied
over many years by now, most of these studies have taken place in controlled lab settings …

The development of Brain–Computer Interfaces based on Motor Imagery (MI) tasks is a
relevant research topic worldwide. The design of accurate and reliable BCI systems remains …

The aim of this study was to compare methods for feature extraction and classification of
EEG signals for a brain–computer interface (BCI) driven by auditory and spatial navigation …

A brain-computer interface (BCI) is a system that makes communication between an external
device and the brain based on the brain's neural activity. This communication is conducted …