A brain computer interface based on motion-onset VEPs

Author

Guo, Fei ; Hong, Bo ; Gao, Xiaorong ; Gao, Shangkai

Author_Institution

Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

4478

Lastpage

4481

Abstract

In this article, a novel brain-computer interface (BCI) based on motion-onset visual evoked potentials (mVEP) is proposed. Examination on the spatio-temporal pattern of motion-onset VEPs showed that the amplitude of N2 and P2 components of mVEP, evoked by attended target, was significantly higher than that by unattended ones. The area of N2 and P2 component was used as features for classifying the offline data of a five-class BCI, achieving an average accuracy of 98.33% in five subjects.

Keywords

Aging; Amplitude modulation; Brain computer interfaces; Delay; Educational institutions; Intensity modulation; Monitoring; Object detection; Performance analysis; Rhythm; attention modulation; brain-computer interface; motion-onset VEPs; Adult; Algorithms; Attention; Brain; Electroencephalography; Evoked Potentials, Visual; Female; Humans; Male; Motion; Photic Stimulation; Psychomotor Performance; Regression Analysis; User-Computer Interface; Young Adult;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4650207

Filename

4650207