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Paper Abstract and Keywords
Presentation 2009-03-13 10:10
EEG classification method by adaptive downsampling with training data -- Experiment with P300 Speller task --
Yuya Sakamoto, Masaki Aono (Toyohashi Univ. of Tech.) NC2008-165
Abstract (in Japanese) (See Japanese page) 
(in English) To achieve Brain Computer Interface, recording Electroencephalogram (EEG) and classifying whether P300 is evoked by presented stimulus have become increasingly important. Using machine learning method for this classification is effective, but constructing feature vectors with all data points might result in very high dimensional data. Because such redundant features are undesirable from the viewpoint of computation and classification performance, EEG has been downsampled in several past research. In this paper, we propose a new downsampling method aiming at P300 classification accuracy improvement. In particular, each single trial EEG is segmented at non-equal interval and then is averaged in each segment. The segmentation is decided in such a way that the degree of separating two classes from training data is increased by applying a time series segmentation algorithm. Our experiment using BCI Competition III P300 Speller paradigm data set demonstrated that our method resulted in higher accuracy than traditional downsampling methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Brain Computer Interface / P300 Speller / downsampling / time series segmentation / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 480, NC2008-165, pp. 365-370, March 2009.
Paper # NC2008-165 
Date of Issue 2009-03-04 (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 NC2008-165

Conference Information
Committee NC MBE  
Conference Date 2009-03-11 - 2009-03-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2009-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) EEG classification method by adaptive downsampling with training data 
Sub Title (in English) Experiment with P300 Speller task 
Keyword(1) Brain Computer Interface  
Keyword(2) P300 Speller  
Keyword(3) downsampling  
Keyword(4) time series segmentation  
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1st Author's Name Yuya Sakamoto  
1st Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
2nd Author's Name Masaki Aono  
2nd Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
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Speaker Author-1 
Date Time 2009-03-13 10:10:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2008-165 
Volume (vol) vol.108 
Number (no) no.480 
Page pp.365-370 
#Pages 6 
Date of Issue 2009-03-04 (NC) 

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