Fixed distance neighbour classifiers in brain computer interface systems

A review on EEG based brain computer interface systems feature extraction methods

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

A review on EEG based brain computer interface systems feature extraction methods

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

0 Applied Advanced Classifiers for Brain Computer Interface

Since that Dr. Hans Berger discovered the electrical nature of the brain, it has been considered the possibility to communicate personswith external devices only through the use of the brain waves (Vidal, 1973). Brain Computer Interface technology is aimed at communicating with persons using external computerised devices via the electroencephalographic signal as the primary command source (Wolp...

Development of Brain-Computer Interface Systems

Brain-computer interface (BCI) research aims to construct systems that could allow a paralysed person to communicate, by decoding the user’s intentions directly from brain signals. Currently, there is still a gap between BCI’s proven success with healthy subjects, (and even subjects with restricted motor control) and the lack of cases in which BCI has been shown to be effective in a clinical se...

Review of Wireless Brain-Computer Interface Systems