Paper Abstract and Keywords |
Presentation |
2018-01-26 16:55
The characteristics of the electroencephalogram related to the music preferences Takaaki Hayata, Hirokazu Sadahisa, Yuya Tsuji, Kiyohisa Natsume (Kyutech) NLP2017-87 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have developed the music players that can be operated using electroencephalogram (EEG). In the previous research [Tsuji et al., IEICE, 2017], they measured EEG while the participants were listening to music and while the participants were judging whether they like or dislike the music. As a result, EEG correlated with the music preferences was observed. In the previous research, EEG power was examined as the EEG features. In this study, we focused on the phase synchrony as the EEG features, and we clarified whether the synchrony between the recording electrodes is different dependent on the music preferences. The phase locking value (PLV) was used as the index of phase synchrony. As a result, 1) there were the significant differences of PLV in “like” and “dislike” preferences in the judging period. 2) While in some participants EEG powers were not different between “like” and “dislike” preferences, there were some pairs of electrodes which have the significant differences in PLV. 3) At the preference judging period, the pairs of electrodes which have the significant differences in PLV were seen in all frequency bands of EEG. 4) Among them, in PLV in the θ wave, there was a tendency in which when the participants judged the music as "like” the number of electrode pairs which have the significant difference in PLV decreased. From these results, it is suggested that the phase synchrony would be a better feature than EEG power for you to discriminate the music preferences. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Electroencephalogram / Music preference / Electroencephalogram Power / synchronization / Phase / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 415, NLP2017-87, pp. 7-12, Jan. 2018. |
Paper # |
NLP2017-87 |
Date of Issue |
2018-01-19 (NLP) |
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) |
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NLP2017-87 |
Conference Information |
Committee |
MBE NC NLP |
Conference Date |
2018-01-26 - 2018-01-27 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyushu Institute of Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
ME, generalImplementation of Neuro Computing,Analysis and Modeling of Human Science, |
Paper Information |
Registration To |
NLP |
Conference Code |
2018-01-MBE-NC-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
The characteristics of the electroencephalogram related to the music preferences |
Sub Title (in English) |
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Keyword(1) |
Electroencephalogram |
Keyword(2) |
Music preference |
Keyword(3) |
Electroencephalogram Power |
Keyword(4) |
synchronization |
Keyword(5) |
Phase |
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1st Author's Name |
Takaaki Hayata |
1st Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
2nd Author's Name |
Hirokazu Sadahisa |
2nd Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
3rd Author's Name |
Yuya Tsuji |
3rd Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
4th Author's Name |
Kiyohisa Natsume |
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Kyushu Institute of Technology (Kyutech) |
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Speaker |
Author-1 |
Date Time |
2018-01-26 16:55:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2017-87 |
Volume (vol) |
vol.117 |
Number (no) |
no.415 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2018-01-19 (NLP) |
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