Discrete wavelet transform based classification of human emotions using Electroencephalogram signals.(Report): An article from: American Journal of Applied Sciences

This digital document is an article from American Journal of Applied Sciences, published by Science Publications on July 1, 2010. The length of the article is 4722 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.

From the author: Key words: EEG, discrete wavelet transform, k-Nearest Neighbor (kNN), Linear Discriminant Analysis (LDA)

Citation Details
Title: Discrete wavelet transform based classification of human emotions using Electroencephalogram signals.(Report)
Author: Mohamed Rizon
Publication:American Journal of Applied Sciences (Magazine/Journal)
Date: July 1, 2010
Publisher: Science Publications
Volume: 7 Issue: 7 Page: 865(8)

Article Type: Report

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