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. |
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(in Japanese) |
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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 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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NC2007-9 |
Conference Information |
Committee |
NC |
Conference Date |
2007-06-14 - 2007-06-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
OIST Seaside House |
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Registration To |
NC |
Conference Code |
2007-06-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(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) |
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Norio Akamatsu |
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The University of Tokushima (Univ. of Tokushima) |
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Speaker |
Author-1 |
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 |
5 |
Date of Issue |
2007-06-07 (NC) |
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