Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69457
Title: Asynchronous P300 BCI: SSVEP-based control state detection
Authors: Panicker, R.C. 
Puthusserypady, S.
Pryana, A.P.
Sun, Y. 
Issue Date: 2010
Citation: Panicker, R.C.,Puthusserypady, S.,Pryana, A.P.,Sun, Y. (2010). Asynchronous P300 BCI: SSVEP-based control state detection. European Signal Processing Conference : 934-938. ScholarBank@NUS Repository.
Abstract: An asynchronous hybrid brain-computer interface (BCI) system combining the P300 and steady-state visually evoked potentials (SSVEP) paradigms is introduced. A P300 base system is used for information transfer, and is augmented to include SSVEP for control state detection. The proposed system has been validated through off-line and online experiments. It is shown to achieve fast and accurate control state detection without significantly compromising the performance. For the two subjects who participated in the online experiments, the system achieved an average data transfer rate of 20.13 bits/min, with control state classification accuracy of more than 97%. © EURASIP, 2010.
Source Title: European Signal Processing Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/69457
ISSN: 22195491
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

43
checked on Sep 22, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.