In this article, non-invasive hybrid brain–computer interface (hBCI) technologies for
improving classification accuracy and increasing the number of commands are reviewed …

Background Brain–computer interfaces (BCI), initially designed to bypass the peripheral
motor system to externally control movement using brain signals, are additionally being …

A fully automated and online artifact removal method for the electroencephalogram (EEG) is
developed for use in brain-computer interfacing (BCI). The method (FORCe) is based upon …

Brain-machine interface (BMI) technology has rapidly matured over the last two decades,
mainly thanks to the introduction of artificial intelligence (AI) methods, in particular, machine …

Background P300 and steady-state visual evoked potential (SSVEP) approaches have been
widely used for brain–computer interface (BCI) systems. However, neither of these …

Objective. Motor imagery-based brain–computer interface (MI-BCI) systems hold promise in
motor function rehabilitation and assistance for motor function impaired people. But the …

While often presented as promising assistive technologies for motor-impaired users,
electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) remain barely used …

Research in brain-computer interfaces has achieved impressive progress towards
implementing assistive technologies for restoration or substitution of lost motor capabilities …

Background: The options for severely disabled children with intact cognition to interact with
their environment are extremely limited. A brain computer interface (BCI) has the potential to …

Objectives To identify perceptions among people with spinal cord injury (SCI) of the priorities
for brain-computer interface (BCI) applications and design features along with the time …