A brain-computer interface (BCI) is a hardware and software communications system that
permits cerebral activity alone to control computers or external devices. The immediate goal …

After 40 years of investigation, steady-state visually evoked potentials (SSVEPs) have been
shown to be useful for many paradigms in cognitive (visual attention, binocular rivalry …

Brain‐computer interface (BCI) systems based on the steady‐state visual evoked potential
(SSVEP) provide higher information throughput and require shorter training than BCI …

In recent years, there has been increasing interest in using steady-state visual evoked
potential (SSVEP) in brain–computer interface (BCI) systems. However, several aspects of …

Spelling is an important application of brain-computer interfaces (BCIs). Previous BCI
spellers were not suited for widespread use due to their low information transfer rate (ITR). In …

Increasing number of research activities and different types of studies in brain‐computer
interface (BCI) systems show potential in this young research area. Research teams have …

Classification of electroencephalogram (EEG) is a key approach to measure the rhythmic
oscillations of neural activity, which is one of the core technologies of brain-computer …

Brain–computer interface (BCI) technology has been studied with the fundamental goal of
helping disabled people communicate with the outside world using brain signals. In …

Abstract Steady-States Visually Evoked Potentials (SSVEP) refer to the sustained rhythmic
activity observed in surface electroencephalography (EEG) in response to the presentation …

A brain–computer interface (BCI) can connect humans and machines directly and has
achieved successful applications in the past few decades. Many new BCI paradigms and …