Motor Imagery Based BCI for a Maze Game

被引：0

作者：

Bordoloi, Simanta ^{[1
]}

Sharmah, Ujjal ^{[1
]}

Hazarika, Shyamanta M. ^{[1
]}

机构：

[1] Tezpur Univ, Dept Comp Sci & Engn, Tezpur, Assam, India

来源：

4TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN COMPUTER INTERACTION (IHCI 2012) | 2012年

关键词：

Electroencephalogram; Brain-Computer Interfacing; Bispectrum; Support Vector Machine; COMPUTER; SIGNALS;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Electroencephalogram (EEG) signals generated out of motor imagery (MI) can be used for Brain Computer Interfacing (BCI). In order to accomplish this goal, we have classified four different MI tasks using two hybrid features of bispectrum of EEG through a RBF kernel support vector machine. As a demonstration of its applicability for a non-invasive BCI, we design and develop a BCI maze game, where a player plays the game in real time using his brain signals.

引用

页数：6

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