Residential College | false |
Status | 已發表Published |
Patterned visual stimuli for enhancement of SSVEP-based BCI performance | |
Da Cruz J.N.; Wong C.M.; Cao T.; Wan F. | |
2013-12-01 | |
Conference Name | 6th International IEEE EMBS Conference on Neural Engineering (NER) |
Source Publication | International IEEE/EMBS Conference on Neural Engineering, NER |
Pages | 1045-1048 |
Conference Date | NOV 06-08, 2013 |
Conference Place | San Diego, CA |
Publisher | IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA |
Abstract | Steady-state visual evoked potential (SSVEP) signals are weak and buried in noise. The signal-to-noise ratio (SNR) of SSVEPs is correlated with attention, and its enhancement contributes to the increase of the speed and accuracy of SSVEP-based brain-computer interfaces (BCIs). Therefore, in this paper it is proposed the use of patterns on the flickers not only to enhance the SNR but also to motivate the subjects and to boost the information-transfer rate (ITR). Experiments have shown an average increase of 43.6% of the SNR resulting in an increase of about 17.0% of the ITR, comparing to the traditional visual stimulator. © 2013 IEEE. |
DOI | 10.1109/NER.2013.6696116 |
URL | View the original |
Indexed By | SCIE |
WOS Research Area | Engineering ; Neurosciences & Neurology |
WOS Subject | Engineering, Biomedical ; Neurosciences |
WOS ID | WOS:000331259200258 |
Scopus ID | 2-s2.0-84897695403 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Corresponding Author | Wan F. |
Affiliation | Universidade de Macau |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Da Cruz J.N.,Wong C.M.,Cao T.,et al. Patterned visual stimuli for enhancement of SSVEP-based BCI performance[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2013, 1045-1048. |
APA | Da Cruz J.N.., Wong C.M.., Cao T.., & Wan F. (2013). Patterned visual stimuli for enhancement of SSVEP-based BCI performance. International IEEE/EMBS Conference on Neural Engineering, NER, 1045-1048. |
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