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| Presentation | 2022-03-02 15:35 [Poster Presentation] Detection of individual beats from EEG during rhythm imagination Naoki Yoshimura, Toshihisa Tanaka (TUAT)  EA2021-92 SIP2021-119 SP2021-77 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Rhythm is one element of music and is composed of several beats. It has been reported that evenly spaced beats and imaginary beats can be identified by frequency analysis of electroencephalogram (EEG). However, for rhythms where the beats are not evenly spaced, it is necessary to detect each individual beats. Therefore, we hypothesized that individual beats can be detected by machine learning from EEG measured while imagining rhythms with non-evenly spaced beats. To verify our hypothesis, we conducted an experiment to measure EEG while imagining rhythms in which the beats are not evenly spaced. In the experiment, We measured the EEG of 18 participants in two conditions: with and without visual presentation of the timing of the beats. We constructed a convolutional neural network model to detect individual beats from the measured EEG. We trained this model using the presence or absence of beats in the EEG as supervisory data, and evaluated its performance. The results showed that the AUC of the model was 0.643 on average for the participants even in the condition where no visual timing was presented. This result suggests the possibility of detecting the rhythm of music from EEG by detecting individual beats. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Rhythm Imagery / Electroencephalogram / Event Related Potential / Convolutional Neural Network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 384, SIP2021-119, pp. 177-182, March 2022. | |
| Paper # | SIP2021-119 | |
| Date of Issue | 2022-02-22 (EA, SIP, SP) | |
| 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 | EA2021-92 SIP2021-119 SP2021-77 |
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| Conference Information | |
| Committee | EA SIP SP IPSJ-SLP |
| Conference Date | 2022-03-01 - 2022-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2022-03-EA-SIP-SP-SLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection of individual beats from EEG during rhythm imagination |
| Sub Title (in English) | |
| Keyword(1) | Rhythm Imagery |
| Keyword(2) | Electroencephalogram |
| Keyword(3) | Event Related Potential |
| Keyword(4) | Convolutional Neural Network |
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| 1st Author's Name | Naoki Yoshimura |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 2nd Author's Name | Toshihisa Tanaka |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
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| Speaker | Author-1 |
| Date Time | 2022-03-02 15:35:00 |
| Presentation Time | 120 minutes |
| Registration for | SIP |
| Paper # | EA2021-92, SIP2021-119, SP2021-77 |
| Volume (vol) | vol.121 |
| Number (no) | no.383(EA), no.384(SIP), no.385(SP) |
| Page | pp.177-182 |
| #Pages | 6 |
| Date of Issue | 2022-02-22 (EA, SIP, SP) |
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