| Presentation | 2013-05-23 Machine Learning Based Unpleasant Sound Detection by Electroencephalography Takuya IMAWAKA, Eiji KAMIOKA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Sound / Electroencephalogram / Artificial Neural Network / Time Course |
| Paper # | MoNA2013-3 |
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| Conference Information | |
| Committee | MoNA |
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| Conference Date | 2013/5/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Mobile Network and Applications(MoNA) |
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| Language | JPN |
| 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 |
| 1st Author's Name | Takuya IMAWAKA |
| 1st Author's Affiliation | Graduate School of Engineering and Science, Shibaura Institute of Technology() |
| 2nd Author's Name | Eiji KAMIOKA |
| 2nd Author's Affiliation | Graduate School of Engineering and Science, Shibaura Institute of Technology |
| Date | 2013-05-23 |
| Paper # | MoNA2013-3 |
| Volume (vol) | vol.113 |
| Number (no) | 56 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |