Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

A Brain–Computer Interface (BCI) provides a novel non-muscular communication method
via brain signals. A BCI-speller can be considered as one of the first published BCI …

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 …

Recent advances in electrodes for noninvasive recording of electroencephalograms expand
opportunities collecting such data for diagnosis of neurological disorders and brain …

Recent advances in neuroscience have paved the way to innovative applications that
cognitively augment and enhance humans in a variety of contexts. This paper aims at …

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 …

Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI)
which enables paralyzed people to directly communicate with and control external devices …

Brain–computer interfacing (BCI) is a steadily growing area of research. While initially BCI
research was focused on applications for paralyzed patients, increasingly more alternative …

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 …

In this study, we introduce a new mental spelling system based on steady-state visual
evoked potential (SSVEP), adopting a QWERTY style layout keyboard with 30 LEDs …