IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

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)
Download PDF 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)  
Keyword(1) Electroencephalogram  
Keyword(2) Music preference  
Keyword(3) Electroencephalogram Power  
Keyword(4) synchronization  
Keyword(5) Phase  
Keyword(6)  
Keyword(7)  
Keyword(8)  
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  
4th Author's Affiliation Kyushu Institute of Technology (Kyutech)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
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
Date of Issue 2018-01-19 (NLP) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan