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Paper Abstract and Keywords
Presentation 2011-03-08 15:25
Sequential Learning of EEG:SSVEP Four-class Classification:Sequential Monte Carlo Implemention
Shu Shigezumi, Hideyuki Hara (Waseda Univ.), Atsushi Takemoto (Kyoto Univ.), Yumi Dobashi (Waseda Univ.), Katsuki Nakamura (Kyoto Univ.), Takashi Matsumoto (Waseda Univ.) MBE2010-125
Abstract (in Japanese) (See Japanese page) 
(in English) An attempt was made to perform a sequential learning of SSVEP four class classification problem. As opposed to the batch learning algorithm, the sequential learning algorithm does not divide the data into training and test datasets; rather, it starts learning with the first single trial data and proceeds with the learning sequentially using the rest of the data. The algorithm was implemented by the Sequential Monte Carlo method. SSVEP data was acqired from 5 subjects. The algorithm appeared functional.
Keyword (in Japanese) (See Japanese page) 
(in English) Brain-computer-Interface / Baysian Sequential Learning / Sequential Monte Carlo / electroencephalography / steady-state visual evoked potential(SSVEP) / multi-class classification / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 460, MBE2010-125, pp. 125-130, March 2011.
Paper # MBE2010-125 
Date of Issue 2011-02-28 (MBE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MBE2010-125

Conference Information
Committee NC MBE  
Conference Date 2011-03-07 - 2011-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2011-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sequential Learning of EEG:SSVEP Four-class Classification:Sequential Monte Carlo Implemention 
Sub Title (in English)  
Keyword(1) Brain-computer-Interface  
Keyword(2) Baysian Sequential Learning  
Keyword(3) Sequential Monte Carlo  
Keyword(4) electroencephalography  
Keyword(5) steady-state visual evoked potential(SSVEP)  
Keyword(6) multi-class classification  
Keyword(7)  
Keyword(8)  
1st Author's Name Shu Shigezumi  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Hideyuki Hara  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Atsushi Takemoto  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Yumi Dobashi  
4th Author's Affiliation Waseda University (Waseda Univ.)
5th Author's Name Katsuki Nakamura  
5th Author's Affiliation Kyoto University (Kyoto Univ.)
6th Author's Name Takashi Matsumoto  
6th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2011-03-08 15:25:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2010-125 
Volume (vol) vol.110 
Number (no) no.460 
Page pp.125-130 
#Pages 6 
Date of Issue 2011-02-28 (MBE) 

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