Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

Brain–computer interfaces (BCIs) are a form of technology that read a user's neural signals
to perform a task, often with the aim of inferring user intention. They demonstrate potential in …

Albeit research on brain-computer interfaces (BCI) for controlling applications has expanded
tremendously, we still face a translational gap when bringing BCI to end-users. To bridge …

Objective To assess the reliability and usefulness of an EEG-based brain-computer interface
(BCI) for patients with advanced amyotrophic lateral sclerosis (ALS) who used it …

Objectives Amyotrophic lateral sclerosis (ALS), a progressive neurodegenerative disease,
restricts patients' communication capacity a few years after onset. A proof-of-concept of brain …

Restoring communication for people with locked-in syndrome remains a challenging clinical
problem without a reliable solution. Recent studies have shown that people with paralysis …

Abstract Objective Brain-computer interfaces (BCIs) aimed at restoring communication to
people with severe neuromuscular disabilities often use event-related potentials (ERPs) in …

Estimating cognitive or affective state from neurophysiological signals and designing
applications that make use of this information requires expertise in many disciplines such as …

Individuals with complex communication needs often use alternative access technologies to
control their augmentative and alternative communication (AAC) devices, their computers …