Real-Time Brain-Computer Interface System Based on Motor Imagery

被引：2

作者：

Tie-Jun Liu

机构：

来源：

Journal of Electronic Science and Technology | 2009年 / 7卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Adaptive classification; brain-compu-ter interface; feature combination; real-time system;

D O I：

暂无

中图分类号：

TP334.7 [接口装置、插件];

学科分类号：

081201 ;

摘要：

A brain-computer interface(BCI) real-time system based on motor imagery translates the user’s motor intention into a real-time control signal for peripheral equipments.A key problem to be solved for practical applications is real-time data collection and processing.In this paper,a real-time BCI system is implemented on computer with electroencephalogram amplifier.In our implementation,the on-line voting method is adopted for feedback control strategy,and the voting results are used to control the cursor horizontal movement.Three subjects take part in the experiment.The results indicate that the best accuracy is 90%.

引用

页码：3 / 6

页数：4

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