Electroencephalography Signal Grouping and Feature Classification Using Harmony Search for BCI

Electroencephalography Signal Grouping and Feature Classification Using Harmony Search for BCI

This paper presents a heuristic method for electroencephalography (EEG) grouping and feature classification using harmony search (HS) for improving the accuracy of the brain-computer interface (BCI) system. EEG, a noninvasive BCI method, uses many electrodes on the scalp, and a large number of elect...

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Bibliographic Details
Main Authors:	Tae-Ju Lee, Seung-Min Park, Kwee-Bo Sim
Format:	Article
Language:	English
Published:	Hindawi Limited 2013-01-01
Series:	Journal of Applied Mathematics
Online Access:	http://dx.doi.org/10.1155/2013/754539

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