Brain computer interfaces (BCI) provide a direct communication link between the brain and a
computer or other external devices. They offer an extended degree of freedom either by …

A brain-computer interface (BCI) is a hardware and software communications system that
permits cerebral activity alone to control computers or external devices. The immediate goal …

Objective. Brain–computer interfaces (BCI) enable direct communication with a computer,
using neural activity as the control signal. This neural signal is generally chosen from a …

In this paper we review classification algorithms used to design brain–computer interface
(BCI) systems based on electroencephalography (EEG). We briefly present the commonly …

Objective Electroencephalogram (EEG) based brain–computer interfaces (BCI) in motor
imagery (MI) have developed rapidly in recent years. A reliable feature extraction method is …

Brain–computer interfaces (BCIs) aim at providing a non-muscular channel for sending
commands to the external world using the electroencephalographic activity or other …

This chapter presents an introductory overview and a tutorial of signal-processing
techniques that can be used to recognize mental states from electroencephalographic (EEG) …

The translation of brain dynamics into natural language is pivotal for brain-computer
interfaces (BCIs), a field that has seen substantial growth in recent years. With the swift …

Electroencephalography (EEG) signals have great impact on the development of assistive
rehabilitation devices. These signals are used as a popular tool to investigate the functions …

For the last few years, many feature extraction methods have been proposed based on
biological signals. Among these, the brain signals have the advantage that they can be …