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Paper Abstract and Keywords
Presentation 2013-11-22 13:50
Classification of EEG Steady-State Visual Evoked Potential Using Stationary Subspace Analysis
Tomoki Shiratori, Hironao Namba, Takashi Matsumoto, Atsushi Ishiyama (Waseda Univ.) NC2013-48
Abstract (in Japanese) (See Japanese page) 
(in English) We attempted to use signal separation algorithm Stationary Subspace Analysis (SSA) for classification of EEG steady-state visual evoked potential (SSVEP). EEG signals were subjected to Fast Fourier Transform (FFT) to extract features. We used Support Vector Machine (SVM) for classification. We compared accuracy rates of the proposed method with a baseline method where no separation algorithm was used. Of the 12 subjects, 11 showed classification accuracy improvements with the proposed method against the baseline method. The average classification rate improved from 91.4％ to 96.2%.
Keyword (in Japanese) (See Japanese page) 
(in English) Brain-Computer Interface (BCI) / EEG / Steady-State Visual Evoked potential(SSVEP) / Stationary Subspace Analysis（SSA） / Support Vector Machine(SVM) / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 315, NC2013-48, pp. 13-16, Nov. 2013.
Paper # NC2013-48 
Date of Issue 2013-11-15 (NC) 
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 NC2013-48

Conference Information
Committee NC MBE  
Conference Date 2013-11-22 - 2013-11-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) BCI/BMI, NC and MBE 
Paper Information
Registration To NC 
Conference Code 2013-11-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classification of EEG Steady-State Visual Evoked Potential Using Stationary Subspace Analysis 
Sub Title (in English)  
Keyword(1) Brain-Computer Interface (BCI)  
Keyword(2) EEG  
Keyword(3) Steady-State Visual Evoked potential(SSVEP)  
Keyword(4) Stationary Subspace Analysis（SSA）  
Keyword(5) Support Vector Machine(SVM)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Tomoki Shiratori  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Hironao Namba  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Takashi Matsumoto  
3rd Author's Affiliation Waseda University (Waseda Univ.)
4th Author's Name Atsushi Ishiyama  
4th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2013-11-22 13:50:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2013-48 
Volume (vol) vol.113 
Number (no) no.315 
Page pp.13-16 
#Pages 4 
Date of Issue 2013-11-15 (NC) 

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