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Paper Abstract and Keywords
Presentation 2019-03-06 15:55
A Study on Improvement of Identification Accuracy in Auditory BCI focusing on Movement Sound
Yuki Onodera, Isao Nambu, Yasuhiro Wada (Nagaoka Univ. of Tech.) MBE2018-116
Abstract (in Japanese) (See Japanese page) 
(in English) Brain-Computer Interfaces (BCI) is a technology for controlling external devices by using human brain activity.
In previous research, the BCI system of the intended direction estimation using the virtual sound was realized.
In this study, in order to investigate the influence of difference of presentation method of auditory stimulation on brain activity, we performed a direction discrimination task in six directions by various presentation methods (static sound and moving sound) and measured the brain wave of the subject.
Fisher's Linear discriminant analysis of incorporating regularization was carried out for classification.
The results showed that improvement was observed in the moving sound compared with the stationary sound although there was individual variation.
Keyword (in Japanese) (See Japanese page) 
(in English) auditory BCI / EEG / P300 / virtual sound / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 469, MBE2018-116, pp. 153-158, March 2019.
Paper # MBE2018-116 
Date of Issue 2019-02-25 (MBE) 
ISSN 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 MBE2018-116

Conference Information
Committee NC MBE  
Conference Date 2019-03-04 - 2019-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Electro Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2019-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Improvement of Identification Accuracy in Auditory BCI focusing on Movement Sound 
Sub Title (in English)  
Keyword(1) auditory BCI  
Keyword(2) EEG  
Keyword(3) P300  
Keyword(4) virtual sound  
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1st Author's Name Yuki Onodera  
1st Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
2nd Author's Name Isao Nambu  
2nd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
3rd Author's Name Yasuhiro Wada  
3rd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
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Speaker Author-1 
Date Time 2019-03-06 15:55:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2018-116 
Volume (vol) vol.118 
Number (no) no.469 
Page pp.153-158 
#Pages 6 
Date of Issue 2019-02-25 (MBE) 

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