Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650207
