Presentation 2007-03-14
A Batch learning Transductive Support Vector Machine for Online EEG Classification in Brain Computer Interface
Ryo KOJIMA, Koji SONOGASHIRA, Charles DASALLA, Yan LI, Shen S, Makoto SATO, Yasuharu KOIKE,
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Abstract(in English) In this paper, we show a fully on-line adaptive BCI by using Transductive Support Vector Machine (TSVM) which is one of the semi-supervised learning methods. Proposed method makes the best recognition accuracies in our experiments and is suitable for the adaptive BCIs. We use EEC signals that are easy to work for the interface.
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Keyword(in English) Brain Computer Interface / Semi-supervised learning / EEG
Paper # NC2006-132
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Committee NC
Conference Date 2007/3/7(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Batch learning Transductive Support Vector Machine for Online EEG Classification in Brain Computer Interface
Sub Title (in English)
Keyword(1) Brain Computer Interface
Keyword(2) Semi-supervised learning
Keyword(3) EEG
1st Author's Name Ryo KOJIMA
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Koji SONOGASHIRA
2nd Author's Affiliation Tokyo Institute of Technology
3rd Author's Name Charles DASALLA
3rd Author's Affiliation Tokyo Institute of Technology
4th Author's Name Yan LI
4th Author's Affiliation Tokyo Institute of Technology
5th Author's Name Shen S
5th Author's Affiliation Tokyo Institute of Technology
6th Author's Name Makoto SATO
6th Author's Affiliation Tokyo Institute of Technology
7th Author's Name Yasuharu KOIKE
7th Author's Affiliation Tokyo Institute of Technology
Date 2007-03-14
Paper # NC2006-132
Volume (vol) vol.106
Number (no) 588
Page pp.pp.-
#Pages 6
Date of Issue