A brain–computer interface (BCI) is a promising technology that can analyze brain signals
and control a robot or computer according to a user's intention. This paper introduces our …

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 …

The brain-computer interfaces (BCIs) based on steady-state visual evoked potential
(SSVEP) have been extensively explored due to their advantages in terms of high …

People with severe physical disabilities are not able of using standard robotic wheelchairs,
which generally demand some motor skills, and therefore total usage of associate muscles …

A brain-computer interface (BCI) system based on steady-state visual evoked potentials
(SSVEP) was developed by four-class phase-coded stimuli. SSVEPs elicited by flickers at …

Objective. Existing steady-state visual evoked potential (SSVEP)-based brain-computer
interfaces (BCIs) struggle to balance user experience and system performance. This study …

Objective. The traditional uniform flickering stimulation pattern shows strong steady-state
visual evoked potential (SSVEP) responses and poor user experience with intense flicker …

Objective. Currently, steady-state visual evoked potentials (SSVEPs)-based brain-computer
interfaces (BCIs) have achieved the highest interaction accuracy and speed among all BCI …

Objective. Asynchronous brain-computer interfaces (BCIs) are more practical and natural
compared to synchronous BCIs. A brain switch is a standard asynchronous BCI, which can …

Hybrid brain-computer interface (hBCI) systems that combine steady-state visual evoked
potential (SSVEP) and surface electromyography (sEMG) signals have attracted attention of …