首页|期刊导航|高技术通讯（英文版）|An efficient approach of EEG feature extraction and classification for brain computer interface

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

Wu Ting Yan Guozheng Yang Banghua

高技术通讯（英文版）2009，Vol.15Issue(3)：277-280,4.

高技术通讯（英文版）2009，Vol.15Issue(3)：277-280,4.DOI:10.3772/j.issn.1006-6748.2009.03.010

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

Wu Ting ¹Yan Guozheng ²Yang Banghua²

作者信息

1. School of Mechanical Engineering, Shanghai Dianji University, Shanghai 2002 40, P.R.China
2. School of Electronic,Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,P.R.China
折叠

摘要

Abstract

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.

关键词

brain computer interface/ electroencephalogram/ feather extraction/ Euclid distance

Key words

brain computer interface/ electroencephalogram/ feather extraction/ Euclid distance

分类

信息技术与安全科学

引用本文复制引用

Wu Ting,Yan Guozheng,Yang Banghua..An efficient approach of EEG feature extraction and classification for brain computer interface[J].高技术通讯（英文版）,2009,15(3):277-280,4.

基金项目

Supported by the Shanghai Education Commission Foundation for Excellent Young High Education Teacher (No. sdj08001). （No. sdj08001）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

访问量0

下载量0

段落导航