Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …

A Brain–Computer Interface (BCI) provides a novel non-muscular communication method
via brain signals. A BCI-speller can be considered as one of the first published BCI …

Despite its short history, the use of Riemannian geometry in brain-computer interface (BCI)
decoding is currently attracting increasing attention, due to accumulating documentation of …

The defeat of the central motor neuron leads to the motor disorders. Patients lose the ability
to control voluntary muscles, for example, of the upper limbs, which introduces a …

Brain-computer interface (BCI) systems enable communication without movement. It is
unclear why some BCI approaches or parameters are less effective with some users. This …

The steady-state visual evoked potential (SSVEP), measured by the electroencephalograph
(EEG), has high rates of information transfer and signal-to-noise ratio, and has been used to …

In recent years, there has been increased interest in using steady-state visual evoked
potentials (SSVEP) in brain–computer interface (BCI) systems; the SSVEP approach …

Objective. Despite the vast research aimed at improving the performance of steady-state
visually evoked potential (SSVEP)-based brain–computer interfaces (BCIs), several …

Brain-computer interface (BCI) systems use brain activity as an input signal and enable
communication without movement. This study is a successor of our previous study (BCI …

All brain–computer interface (BCI) groups that have published results of studies involving a
large number of users performing BCI control based on the voluntary modulation of …