The most popular noninvasive Brain Robot Interaction (BRI) technology uses the
electroencephalogram‐(EEG‐) based Brain Computer Interface (BCI), to serve as an …

Objective. Semantic concepts are coherent entities within our minds. They underpin our
thought processes and are a part of the basis for our understanding of the world. Modern …

One of the most important issues for the development of a motor-imagery based brain-
computer interface (BCI) is how to design a powerful classifier with strong generalization …

This paper presents a systematic review of electroencephalography (EEG)-based brain–
computer interfaces (BCIs) used in the video games, a vibrant field of research that touches …

Regularization has been one of the most popular approaches to prevent overfitting in
electroencephalogram (EEG) classification of brain-computer interfaces (BCIs). The …

Background Multichannels used in brain–computer interface (BCI) systems contain
redundant information and cause inconvenience for practical application. Channel selection …

Brain–computer interfaces (BCIs) directly measure brain activity with no physical movement
and translate the neural signals into messages. BCIs that employ the P300 event‐related …

P300-based brain-computer interfaces (BCIs) provide an additional communication channel
for individuals with communication disabilities. In general, P300-based BCIs need to be …

Many of the most widely accepted methods for reliable detection of steady-state visual
evoked potentials (SSVEPs) in the electroencephalogram (EEG) utilize canonical correlation …

Objective. Brain-computer interfaces (BCIs) have recently made significant strides in
expanding their instruction set, which has attracted wide attention from researchers. The …