Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them
into commands that are relayed to output devices that carry out desired actions. BCIs do not …

EEG-based brain-controlled mobile robots can serve as powerful aids for severely disabled
people in their daily life, especially to help them move voluntarily. In this paper, we provide a …

A brain-computer interface (BCI) is a communication system that can help users interact with
the outside environment by translating brain signals into machine commands. The use of …

Brain-computer interface (BCI) technology has been used for rehabilitation after stroke and
there are a number of reports involving stroke patients in BCI-feedback training. Most …

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 …

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 …

Objective. A new training-free framework was proposed for target detection in steady-state
visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) using joint …

Steady-state visual evoked potential (SSVEP)-based brain computer interfaces (BCIs) have
gained considerable research interest because of their higher signal-to-noise ratio and …

Brain computer interfaces (BCIs) are devices that measure brain activities and translate
them into control signals used for a variety of applications. Among them are systems for …

The purpose of this study was to investigate the effects of brain–computer interface (BCI)‐
controlled functional electrical stimulation (FES) training on shoulder subluxation of patients …