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Paper Abstract and Keywords
Presentation 2013-05-27 14:40
The basic study for the development of the system detecting subjects' preferences for music using electroencephalography
Ryousuke Koyanagi, Noboru Kojima, Kiyohisa Natsume (Kyushu Inst. of Tech.) NLP2013-13
Abstract (in Japanese) (See Japanese page) 
(in English) The daily behavior of the person is affected by the subjective preference. Recently the study on the electroencephalogram (EEG) which is related to the preference has been started. Most of the studies so far have been focus on the visual preference. The studies clarify that prefrontal theta and occipital gamma bands are involved in the preference. On the other hand, music has a relaxation effect, and can reduce our stress. Recently musical therapy is used for the functional training for dementia, and the people experiencing disability. The effect is maximized when they listen to the favorite music. Thus to know the individual’s music preference is also important. In the present study, the music preference was studied using electroencephalogram (EEG).
Five healthy males (23.5 ± 0.5 years) participated in the experiment. They listened to the music EEG for 30-35 sec, thought for 10 sec, and then decided the preference in four levels. After the preference, there was a rest for 35 sec. A subject listened to twenty pieces in 5-8 genres. EEG was recorded throughout the experiment. It was analyzed using fast Fourier transform. The mean power levels of theta (4-8 Hz), alpha (8-12 Hz), beta (12-30 Hz), and gamma (30-50 Hz) were calculated while the subject listened to the music, and while they thought the choice. In addition, cross-validation of the power levels in one dimension was done using the linear discriminant analysis (LDA).
In the preference thinking period, the averaged power of the prefrontal theta band at “like” choice was higher than at “dislike” choice. The difference was not significant. On the other hand, both during listening to music and preference thinking period, the averaged power of the occipital gamma band tended to be higher at “dislike” choice than at “like” choice. The difference was not significant. The cross-validation result showed that the three highest correct answer rates were obtained using the occipital gamma, the prefrontal alpha, and the occipital gamma bands. Hence, the occipital gamma bands may participate in “like” and “dislike” emotion.
Keyword (in Japanese) (See Japanese page) 
(in English) Electroencephalogram / Music Therapy / Preferences / Alpha wave / Beta wave / Gamma wave / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 69, NLP2013-13, pp. 21-25, May 2013.
Paper # NLP2013-13 
Date of Issue 2013-05-20 (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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Conference Information
Committee NLP  
Conference Date 2013-05-27 - 2013-05-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Event hall, Central Library, Fukuoka University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NLP 
Conference Code 2013-05-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The basic study for the development of the system detecting subjects' preferences for music using electroencephalography 
Sub Title (in English)  
Keyword(1) Electroencephalogram  
Keyword(2) Music Therapy  
Keyword(3) Preferences  
Keyword(4) Alpha wave  
Keyword(5) Beta wave  
Keyword(6) Gamma wave  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryousuke Koyanagi  
1st Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
2nd Author's Name Noboru Kojima  
2nd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
3rd Author's Name Kiyohisa Natsume  
3rd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
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Speaker Author-2 
Date Time 2013-05-27 14:40:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2013-13 
Volume (vol) vol.113 
Number (no) no.69 
Page pp.21-25 
#Pages 5 
Date of Issue 2013-05-20 (NLP) 

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