Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …

Event-related potentials (ERPs) reflect neurophysiological changes of the brain in response
to external events and their associated underlying complex spatiotemporal feature …

In this paper, we propose a highly accurate and fast spelling system that employs multi-
modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …

In the last few decades, Brain-Computer Interface (BCI) research has focused predominantly
on clinical applications, notably to enable severely disabled people to interact with the …

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

Brain-Computer Interfaces (BCI) are systems that can translate the brain activity patterns of a
user into messages or commands for an interactive application. The brain activity which is …

Brain–computer interfaces (BCIs) directly measure brain activity with no physical movement
and translate the neural signals into messages. BCIs that employ the P300 event‐related …

P300-based brain-computer interfaces (BCIs) provide an additional communication channel
for individuals with communication disabilities. In general, P300-based BCIs need to be …

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