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| Presentation | 2013-05-23 10:40 [Encouragement Talk] Machine Learning Based Unpleasant Sound Detection by Electroencephalography Takuya Imawaka, Eiji Kamioka (Shibaura Inst. of Tech.)  MoNA2013-3 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Acoustical environment which surrounds us has drastically changed and increased unpleasant sound sources. In such an unpleasant acoustical environment, people suffer negative effects, such as lacking concentration and being irritated. This study aims at improving the unpleasant acoustical environment, not by blocking out the unpleasant sound but by harmonizing other effective sounds with it. To do that, it is necessary to objectively detect what kind of sound makes people feel unpleasant. In this paper, a technique to detect human’s unpleasant feeling applying artificial neural network to electroencephalogram will be stated. In addition, the effectiveness of the proposed method will be discussed based on the analytical results focusing on the time series information on brain waves. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Sound / Electroencephalogram / Artificial Neural Network / Time Course / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 56, MoNA2013-3, pp. 13-18, May 2013. | |
| Paper # | MoNA2013-3 | |
| Date of Issue | 2013-05-16 (MoNA) | |
| 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 | MoNA2013-3 |
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| Conference Information | |
| Committee | MoNA IPSJ-DPS IPSJ-MBL |
| Conference Date | 2013-05-23 - 2013-05-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ishigaki City Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile application, Ubiquitous service, Mobile distributed cloud, Mobile ad hoc network, Sensor network, Mobile network, etc. |
| Paper Information | |
| Registration To | MoNA |
| Conference Code | 2013-05-MoNA-DPS-MBL |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Machine Learning Based Unpleasant Sound Detection by Electroencephalography |
| Sub Title (in English) | |
| Keyword(1) | Sound |
| Keyword(2) | Electroencephalogram |
| Keyword(3) | Artificial Neural Network |
| Keyword(4) | Time Course |
| Keyword(5) | |
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| 1st Author's Name | Takuya Imawaka |
| 1st Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
| 2nd Author's Name | Eiji Kamioka |
| 2nd Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2013-05-23 10:40:00 |
| Presentation Time | 25 minutes |
| Registration for | MoNA |
| Paper # | MoNA2013-3 |
| Volume (vol) | vol.113 |
| Number (no) | no.56 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2013-05-16 (MoNA) |
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