| Presentation | 2010-03-01 A Classification Method of the Odors with EEG using FLVQ Shota WATANABE, Naoyuki AIKAWA, Tatsuya IWAKI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | EEG has an important role which makes clear an analysis of the brain activity. For example, it is possible that we know intention and state of mind of the person by analyzing EEG. Fuzzy learning vector quantization method 2(FLVQ2) is one of recognition systems, and it has a high recognition ability despite its simpleness. In this paper, we propose a method to classify EEG for three kinds of odor stimulation. These odors consist of pleasant odor, unpleasant odor and those mixture odors. The amplitude of alpha wave and beta wave are used for the input data, and we classify these data by using FLVQ2. We verify the effect of the proposed method by using actual EEG. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | odor stimulus / time-change / neural networks / EEG / FLVQ2 |
| Paper # | CAS2009-80,SIP2009-125,CS2009-75 |
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| Conference Information | |
| Committee | CS |
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| Conference Date | 2010/2/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Communication Systems (CS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Classification Method of the Odors with EEG using FLVQ |
| Sub Title (in English) | |
| Keyword(1) | odor stimulus |
| Keyword(2) | time-change |
| Keyword(3) | neural networks |
| Keyword(4) | EEG |
| Keyword(5) | FLVQ2 |
| 1st Author's Name | Shota WATANABE |
| 1st Author's Affiliation | Graduate School of Tokyo University of Science() |
| 2nd Author's Name | Naoyuki AIKAWA |
| 2nd Author's Affiliation | Tokyo University of Science |
| 3rd Author's Name | Tatsuya IWAKI |
| 3rd Author's Affiliation | Hiroshima International University |
| Date | 2010-03-01 |
| Paper # | CAS2009-80,SIP2009-125,CS2009-75 |
| Volume (vol) | vol.109 |
| Number (no) | 436 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |