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Paper Abstract and Keywords
Presentation 2007-06-14 09:55
The EEG Analysis by Using the Neural Network in Listening to Music
Takahiro Ogawa, Stephen Karungaru (Univ. of Tokushima), Yasue Mitsukura (Univ. of Agriculture and Technology), Minoru Fukumi, Norio Akamatsu (Univ. of Tokushima) NC2007-9
Abstract (in Japanese) (See Japanese page) 
(in English) Recent, stress causes verious illnesses. In order to solve such a problem, researchers have studied about the music therapy.
Music used in the music therapy is of verious types, therefore it takes a patient and therapist long time to select the music.
If the music is easily selectable, the music therapy can be carried out effectively.
In this paper, we discuss an influence by the music for humans.
First we measure the EEG(electroencephalogram) while listening to the music.
Next, we create a data matrix based on appearance rate of frequency ingredients.
Thirdly, we extract features from the data matrix by the PCA(principal component analysis) and the KPCA(kernel principal component analysis).
Finally, we verify the EEG patterns based on the feature vectors by the NN(neural network).
We compare accuracy of the PCA and the KPCA by recognition rate of a neural network.
In order to examine whether the proposal system is effective, we try computer simulations for the EEG classification.
From the results of computer simulations, it is suggested that feature extraction by using the KPCA is effective compared to the PCA.
Keyword (in Japanese) (See Japanese page) 
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Reference Info. IEICE Tech. Rep., vol. 107, no. 92, NC2007-9, pp. 5-9, June 2007.
Paper # NC2007-9 
Date of Issue 2007-06-07 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 NC  
Conference Date 2007-06-14 - 2007-06-15 
Place (in Japanese) (See Japanese page) 
Place (in English) OIST Seaside House 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2007-06-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The EEG Analysis by Using the Neural Network in Listening to Music 
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1st Author's Name Takahiro Ogawa  
1st Author's Affiliation The University of Tokushima (Univ. of Tokushima)
2nd Author's Name Stephen Karungaru  
2nd Author's Affiliation The University of Tokushima (Univ. of Tokushima)
3rd Author's Name Yasue Mitsukura  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (Univ. of Agriculture and Technology)
4th Author's Name Minoru Fukumi  
4th Author's Affiliation The University of Tokushima (Univ. of Tokushima)
5th Author's Name Norio Akamatsu  
5th Author's Affiliation The University of Tokushima (Univ. of Tokushima)
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Date Time 2007-06-14 09:55:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2007-9 
Volume (vol) vol.107 
Number (no) no.92 
Page pp.5-9 
#Pages
Date of Issue 2007-06-07 (NC) 


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