Some highlights on EEG-based Brain Computer Interface

Jing Wang; Guanghua Xu; Jun Xie; Feng Zhang; Lili Li; Chengcheng Han; Yeping Li; Jingjing Sun

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Some highlights on EEG-based Brain Computer Interface

Jing Wang 1 * #,Guanghua Xu 1,Jun Xie 1,Feng Zhang 2,Lili Li 1,Chengcheng Han 1,Yeping Li 1,Jingjing Sun 1

1.School of Mechanical Engineering, Xi\'an Jiaotong University, Xi\'an 710049

2.School of Mechanical Engineering, Xi\'an Jiaotong University

*Correspondence author

#Submitted by

Subject:

Funding: Ph.D. Program Foundation of Ministry of Education of China（No.approval no. 20100201120003）, This work was supported by the National Natural Science Foundation of China （No.approval no. 51005176）

Opened online:17 September 2012

Accepted by: none

Citation: Jing Wang,Guanghua Xu,Jun Xie.Some highlights on EEG-based Brain Computer Interface[OL]. [17 September 2012] http://en.paper.edu.cn/en_releasepaper/content/4488562

Electroencephalogram (EEG) is an efficient tool in exploring human brains. It plays a very important role in development of new interaction techniques between machines and human beings, namely, brain-computer interfaces (BCI). The purpose of this review is to illustrate most recent researches in EEG-based brain computer interfaces. First, two BCI paradigms, including motor imagery and steady-state motion visual evoked potentials (SSMVEP) produced by oscillating Newton's rings are introduced. After that, BCI systems including wheelchair controlling and electronic car navigation are elaborated. As a new technique to control equipments, BCI has promising potentials in rehabilitation of disorders in central nervous system such as stroke and spinal cord injury, treatment of attention deficit hyperactivity disorder (ADHD) in children, and development of novel games such as brain-controlled auto racings.

Keywords:Electroencephalogram (EEG); Brain Computer Interface (BCI); Steady-State Motion Visual Evoked Potentials (SSMVEP); Motor imagery (MI)

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