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Paper Abstract and Keywords
Presentation 2017-03-13 14:35
Convolutional neural networks with 3D input for P300 Identification in auditory brain-computer interfaces
Eduardo Carabez, Miho Sugi, Isao Nambu, Yasuhiro Wada (Nagaoka Gidai) NC2016-71
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a 3D input for a convolutional neural network used as
classifier for an auditory BCI that presents sounds to the user via
earphones from 6 different virtual directions. As many factors impact the
performance of the classifier, different pooling strategies and
convolution kernels are presented to show how all of them play an
important role for the better or worse in the classification of single
trial EEG data for the proposed BCI. Results show that these simple, yet
not always explored considerations, can lead to significant differences in performance between models
Keyword (in Japanese) (See Japanese page) 
(in English) convolutional neural networks / auditory brain-computer interface (BCI) / P300 / virtual sound / electroencephalogram (EEG) / pool strategies / classification /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 521, NC2016-71, pp. 43-48, March 2017.
Paper # NC2016-71 
Date of Issue 2017-03-06 (NC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 NC2016-71

Conference Information
Committee MBE NC  
Conference Date 2017-03-13 - 2017-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2017-03-MBE-NC 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Convolutional neural networks with 3D input for P300 Identification in auditory brain-computer interfaces 
Sub Title (in English)  
Keyword(1) convolutional neural networks  
Keyword(2) auditory brain-computer interface (BCI)  
Keyword(3) P300  
Keyword(4) virtual sound  
Keyword(5) electroencephalogram (EEG)  
Keyword(6) pool strategies  
Keyword(7) classification  
1st Author's Name Eduardo Carabez  
1st Author's Affiliation Nagaoka University of Technology (Nagaoka Gidai)
2nd Author's Name Miho Sugi  
2nd Author's Affiliation Nagaoka University of Technology (Nagaoka Gidai)
3rd Author's Name Isao Nambu  
3rd Author's Affiliation Nagaoka University of Technology (Nagaoka Gidai)
4th Author's Name Yasuhiro Wada  
4th Author's Affiliation Nagaoka University of Technology (Nagaoka Gidai)
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Date Time 2017-03-13 14:35:00 
Presentation Time 25 
Registration for NC 
Paper # IEICE-NC2016-71 
Volume (vol) IEICE-116 
Number (no) no.521 
Page pp.43-48 
#Pages IEICE-6 
Date of Issue IEICE-NC-2017-03-06 

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