EEG BASED BRAIN-COMPUTER INTERFACE FOR CLASSIFICATION ALGORITHMS ON ASYNCHRONOUS INTERFACE

M. Senthilmurugan¹*, N. Malmurugan²*, P.Jayapal³*
¹Department of Information Technology (PG), A.V.C College of Engineering, Mayiladuthurai, Mannampandal – 609305, Nagapattinam District, Tamil Nadu, S.India
²Oxford Engineering College, Trichy, India
³Lecturer, Department of Information Technology (PG), A.V.C College of Engineering, Mayiladuthurai, Mannampandal – 609305, Nagapattinam District, Tamil Nadu, S.India
* Corresponding Author : jayapal.pal@rediffmail.com

Received : -     Accepted : -     Published : 21-06-2011
Volume : 1     Issue : 1       Pages : 5 - 9
Bioinfo Comput Eng 1.1 (2011):5-9

When we talk about the interfacing with a computer we typically mean typing at a keyboard or using a mouse. The EEG, or electroencephalogram, is electrical activity recorded from the scalp and produced by neurons in the brain. The growth of a Brain Computer Interface, or in our case, an EEGbased communication device, requires the raw EEG signal to be converted into a new output channel through which the brain can communicate and control its environment. This includes a discussion of an EEG-based user interface, covering all aspects of this topic ranging from the EEG input, over the processing stage, all the way to the corresponding output signals There is a growing awareness that for BCI's to be most useful for people with severe motor disabilities they must support self-paced (or “asynchronous”) operation.

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