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| 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 |
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| 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 |
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| 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 | |
| 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 | NC2016-71 |
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| 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 |
| Keyword(8) | |
| 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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| Speaker | Author-1 |
| Date Time | 2017-03-13 14:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2016-71 |
| Volume (vol) | vol.116 |
| Number (no) | no.521 |
| Page | pp.43-48 |
| #Pages | 6 |
| Date of Issue | 2017-03-06 (NC) |
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