| Presentation | 2007-06-14 The EEG Analysis by Using a Neural Network in Listening to Music Takahiro OGAWA, Stephen KARUNGARU, Yasue MITSUKURA, Minoru FUKUMI, Norio AKAMATSU, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recent, stress causes venous 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) |
| Keyword(in English) | electroencephalogram / principal component analysis / canonical discriminant analysis / neural network |
| Paper # | NC2007-9 |
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| Committee | NC |
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| Conference Date | 2007/6/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | The EEG Analysis by Using a Neural Network in Listening to Music |
| Sub Title (in English) | |
| Keyword(1) | electroencephalogram |
| Keyword(2) | principal component analysis |
| Keyword(3) | canonical discriminant analysis |
| Keyword(4) | neural network |
| 1st Author's Name | Takahiro OGAWA |
| 1st Author's Affiliation | University of Tokushima() |
| 2nd Author's Name | Stephen KARUNGARU |
| 2nd Author's Affiliation | University of Tokushima |
| 3rd Author's Name | Yasue MITSUKURA |
| 3rd Author's Affiliation | Tokyo University of Agriculture and Technology |
| 4th Author's Name | Minoru FUKUMI |
| 4th Author's Affiliation | University of Tokushima |
| 5th Author's Name | Norio AKAMATSU |
| 5th Author's Affiliation | University of Tokushima |
| Date | 2007-06-14 |
| Paper # | NC2007-9 |
| Volume (vol) | vol.107 |
| Number (no) | 92 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |