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Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISSNIP.2007.4496874
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dc.titleRecursive fisher linear discriminant for BCI applications
dc.contributor.authorHuang, D.
dc.contributor.authorXiang, C.
dc.contributor.authorGe, S.S.
dc.date.accessioned2014-04-24T08:37:24Z
dc.date.available2014-04-24T08:37:24Z
dc.date.issued2007
dc.identifier.citationHuang, D., Xiang, C., Ge, S.S. (2007). Recursive fisher linear discriminant for BCI applications. Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP : 383-388. ScholarBank@NUS Repository. https://doi.org/10.1109/ISSNIP.2007.4496874
dc.identifier.isbn1424415020
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51241
dc.description.abstractA novel recursive procedure for extracting discriminant features, termed Recursive Fisher Linear Discriminant (RFLD), is applied to brain-computer interface (BCI) problems. Compared to traditional Fisher Linear Discriminant (FLD), RFLD relaxes the constraint on the total number of features that can be extracted. The new RFLD has been tested on motor imagery classification with the electrocorticography (ECoG) signals. The resulting improvement of performance by the new feature extraction scheme suggests the effectiveness of our method. © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ISSNIP.2007.4496874
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ISSNIP.2007.4496874
dc.description.sourcetitleProceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP
dc.description.page383-388
dc.identifier.isiut000255633800065
Appears in Collections:Staff Publications

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