Over the last few decades, brain signals have been significantly exploited for brain-computer
interface (BCI) applications. In this paper, we study the extraction of features using event …

In the last decade of the XX-th century, several academic centers have launched intensive
research programs on the brain-computer interface (BCI). The current state of research …

A very active expansion of data and convenience in modern period accept to motivate
extremely significant automation tasks with the advanced algorithmic models with the …

Abstract Background Artificial neural networks (ANNs) are one of the widely used classifiers
in the brain–computer interface (BCI) systems-based on noninvasive …

Brain computer interface (BCI) provides an interface between a brain and a computer in
order to enable people to control external devices without using muscles. In this work …

Brain computer interface provides communication opportunity between the brain and the
environment around a person with severe motor disabilities. However, the implementation of …

The ability to control a vehicle using only your brain without moving any muscle contributes
a promising technique for our society [1], not least for people with a movement hindering …

Electroencephalogram (EEG) is probably the most critical technology for human brain-
computer interface applications. People who have mental illnesses frequently go through …

The collection of individuals with severe speech and physical impairments (SSPI), is the
target audience for the Think to Speak Augmentative and Alternative Communication (AAC) …

To be able to control a robotic platform using signals form the human brain is something that
has been considered science fiction for a long time. With the technology available today …