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Electroencephalogram (EEG) based Brain Computer Interface (BCI) is a system that uses human brain-waves recorded from the scalp as a means for providing a new communication channel by which people with limited physical communication capability can effect control over devices such as moving a mouse and typing characters. Evolutionary approaches have the potential to improve the performance of such system through providing a better sub-set of electrodes or features, reducing the required training time of the classifiers, reducing the noise to signal ratio, and so on. This chapter provides a survey on some of the commonly used EA methods in EEG study. © 2013, IGI Global.

Original publication

DOI

10.4018/978-1-4666-2666-9.ch016

Type

Chapter

Book title

Swarm Intelligence for Electric and Electronic Engineering

Publication Date

01/12/2012

Pages

326 - 344