EEG Based Brain-Computer Interface System for Remote Vehicle Controlling

被引：1

作者：

Sun, Han ^{[1
]}

Zhang, Liqing ^{[1
]}

Li, Jie ^{[1
]}

Zhao, Qibing ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200240, Peoples R China

来源：

ADVANCES IN COGNITIVE NEURODYNAMICS (II) | 2011年

关键词：

D O I：

10.1007/978-90-481-9695-1_104

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Brain Computer Interface (BCI) bridges human brain and computer. In this paper, we propose a real-time BCI system that enables subject to control remote vehicle by motor imagery. Multilinear generation of common spatial pattern analysis is introduced to extract high-order tensor EEG features. The general framework of BCI interfacing paradigm for remote vehicle control is then developed. To validate the performance of the developed model, both offline simulation and real-time experiment are given. The real-time experiment shows after a proper period of training, subjects can control the vehicle running along a designated path smoothly.

引用

页码：695 / 699

页数：5

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