基于运动意象的脑机接口迷宫游戏

2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI:10.1109/IHCI.2012.6481848

Simanta Bordoloi, Ujjal Sharmah, S. Hazarika

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引用次数: 24

摘要

由运动图像(MI)产生的脑电图(EEG)信号可用于脑机接口(BCI)。为了实现这一目标，我们利用脑电双谱的两个混合特征，通过RBF核支持向量机对四种不同的MI任务进行分类。为了证明其对非侵入性脑机接口的适用性，我们设计并开发了一个脑机接口迷宫游戏，在这个游戏中，玩家使用他的大脑信号实时玩游戏。

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Motor imagery based BCI for a maze game

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.

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2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)

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