Over the past several decades, electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …

Objective. Recently, canonical correlation analysis (CCA) has been widely used in steady-
state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) due to its …

Brain–computer interfaces (BCIs) based on steady-state visually evoked potentials
(SSVEPs) have been well researched due to their easy system configuration, little or no user …

Objective. Steady-state visual evoked potential (SSVEP) is an essential paradigm of
electroencephalogram based brain–computer interface (BCI). Previous studies in the BCI …

The aim of this study was to design a dynamically optimized steady-state visually evoked
potential (SSVEP) brain–computer interface (BCI) system with enhanced performance …

We use functional near-infrared spectroscopy (fNIRS) to discriminate the alert and drowsy
states for a passive brain-computer interface (BCI). The passive brain signals for the drowsy …

Objective. Electroencephalography (EEG) is a non-linear and non-stationary process, as a
result, its features are unstable and often vary in quality across trials, which poses significant …

Objective. Low-frequency steady-state visual evoked potential (SSVEP)-based brain–
computer interface (BCI) systems with high performance are prone to cause visual …

Background Steady-state visual-evoked potential (SSVEP)-based brain–computer interfaces
(BCIs) generate weak SSVEP with a monitor and cannot use harmonic frequencies …

Here, we present a novel dual-frequency steady-state visual evoked potential (SSVEP) brain-
computer interface (BCI) system with a unique human–computer interaction (HCI) feature …