An efficient approach of EEG feature extraction and classification for brain computer interface

被引：0

作者：

Wu, Ting ^{[2
]}

Yan, Guozheng ^{[1
]}

Yang, Banghua ^{[1
]}

机构：

[1] School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University

[2] School of Mechanical Engineering, Shanghai Dianji University

来源：

High Technology Letters | 2009年 / 15卷 / 03期

关键词：

Brain computer interface; Electroencephalogram; Euclid distance; Feather extraction;

D O I：

10.3772/j.issn.1006-6748.2009.03.010

中图分类号：

学科分类号：

摘要：

In the study of brain-computer interfaces, a method of feature extraction and classification used for two kinds of imaginations is proposed. It considers Euclidean distance between mean traces recorded from the channels with two kinds of imaginations as a feature, and determines imagination classes using threshold value. It analyzed the background of experiment and theoretical foundation referring to the data sets of BCI 2003, and compared the classification precision with the best result of the competition. The result shows that the method has a high precision and is advantageous for being applied to practical systems. Copyright © by HIGH TECHNOLOGY LETTERS PRESS.

引用

页码：277 / 280

页数：3

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