In recent years, research on Brain-Computer Interface (BCI) technology for healthy users
has attracted considerable interest, and BCI games are especially popular. This study …

A brain–computer interface (BCI) enables a user to communicate directly with an external
device, eg, a computer, using brain signals. It can be used to research, map, assist …

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 …

A potential limitation of a motor imagery (MI) based brain-computer interface (BCI) is that it
usually requires a relatively long time to record sufficient electroencephalogram (EEG) data …

In brain-computer interface (BCI) work, how correctly identifying various features and their
corresponding actions from complex Electroencephalography (EEG) signals is a …

Mu rhythm is a spontaneous neural response occurring during a motor imagery (MI) task
and has been increasingly applied to the design of brain–computer interface (BCI). Accurate …

The start of the cue is often used to initiate the feature window used to control motor imagery
(MI)-based brain-computer interface (BCI) systems. However, the time latency during an MI …

Background Common spatial pattern (CSP) is most widely used in motor imagery based
brain-computer interface (BCI) systems. In conventional CSP algorithm, pairs of the …

Brain signals measured over a series of experiments have inherent variability because of
different physical and mental conditions among multiple subjects and sessions. Such …

Background Channel selection is a key topic in brain-computer interface (BCI). Task-
irrelevant and redundant channels used in BCI may lead to low classification accuracy, high …