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Paper Abstract and Keywords
Presentation 2016-01-21 09:20
Optimization of P300 speller paradigm using support vector machine
Kei Nakano, Tomonari Inui, Gang Wang (Kagoshima Univ.) MBE2015-85
Abstract (in Japanese) (See Japanese page) 
(in English) Attempt was made to develop a Brain-Computer Interface (BCI) identifying attended letters using an event related potential component, P300. With the help of support vector machine (SVM), the extracted features distinguished P300 patterns for attended letters from those for unattended letters with significantly high performance we proposed a further method to finalize the output of BCI system by evaluating the accumulated SVM discrimination outputs to each of all the flashed letters. Under the condition of 400 ms for inter-stimulus interval (ISI), the discrimination was almost perfect. The effect of the ISI on the discrimination performance was also investigated.
Keyword (in Japanese) (See Japanese page) 
(in English) BCI / P300 Speller / SVM / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 413, MBE2015-85, pp. 5-9, Jan. 2016.
Paper # MBE2015-85 
Date of Issue 2016-01-14 (MBE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee MBE  
Conference Date 2016-01-21 - 2016-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2016-01-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Optimization of P300 speller paradigm using support vector machine 
Sub Title (in English)  
Keyword(1) BCI  
Keyword(2) P300 Speller  
Keyword(3) SVM  
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1st Author's Name Kei Nakano  
1st Author's Affiliation Kagoshima University (Kagoshima Univ.)
2nd Author's Name Tomonari Inui  
2nd Author's Affiliation Kagoshima University (Kagoshima Univ.)
3rd Author's Name Gang Wang  
3rd Author's Affiliation Kagoshima University (Kagoshima Univ.)
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Speaker Author-1 
Date Time 2016-01-21 09:20:00 
Presentation Time 20 minutes 
Registration for MBE 
Paper # MBE2015-85 
Volume (vol) vol.115 
Number (no) no.413 
Page pp.5-9 
#Pages
Date of Issue 2016-01-14 (MBE) 


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