Paper Abstract and Keywords |
Presentation |
2021-10-28 14:20
A Study on Affective BCI Using Reservoir Computing and Fractal Analysis Yuuma Matsuda, Masahiro Nakagawa (NUT) MBE2021-22 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Today, the Brain Computer Interface (BCI) using EEG for quantification of sensitivity have been studying, and the deep learning algorithms are being actively used for analysis method. However, the deep learning algorithms require machine power, which is not suitable for implementation and operation of BCI using EEG. In this study, we investigate a simpler and faster method with the Echo State Network (ESN).
The proposed method performs fast classification of EEG data by fractal analysis of time series of ESN middle layer output. As a result, the feasibility of fractal analysis of the ESN is confirmed, and the classification experiments suggest the possibility of constructing the more practical BCI. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
BCI / Electroencephalogram / Fractal / Echo State Network / Emotion evaluation / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 222, MBE2021-22, pp. 26-31, Oct. 2021. |
Paper # |
MBE2021-22 |
Date of Issue |
2021-10-21 (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) |
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MBE2021-22 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2021-10-28 - 2021-10-29 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MBE |
Conference Code |
2021-10-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Affective BCI Using Reservoir Computing and Fractal Analysis |
Sub Title (in English) |
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Keyword(1) |
BCI |
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Electroencephalogram |
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Fractal |
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Echo State Network |
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Emotion evaluation |
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1st Author's Name |
Yuuma Matsuda |
1st Author's Affiliation |
Nagaoka University of Technology (NUT) |
2nd Author's Name |
Masahiro Nakagawa |
2nd Author's Affiliation |
Nagaoka University of Technology (NUT) |
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Speaker |
Author-1 |
Date Time |
2021-10-28 14:20:00 |
Presentation Time |
25 minutes |
Registration for |
MBE |
Paper # |
MBE2021-22 |
Volume (vol) |
vol.121 |
Number (no) |
no.222 |
Page |
pp.26-31 |
#Pages |
6 |
Date of Issue |
2021-10-21 (MBE) |
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