Presentation | 2006/6/29 The Proposal of the Feature Extraction Method in Weighted Principal Frequency Components Using the RGA Shin-ichi ITO, Yasue MITSUKURA, Nakamura Hiroko MIYAMURA, Takafumi SAITO, Minoru FUKUMI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | An EEG has frequency components which can describe most of the significant features. These combinations are often unique like individual human beings and yet they have underlying basic features. These frequency components are contained the important and/or not so important components, and then each importance of these frequency components is different. The real-coded genetic algorithm (: RGA) is used for selecting and weighting the principal characteristic frequency components. We attempt to construct mental change appearance model (: MCAM) of one measurement point only. In order to show the effectiveness of the proposal method, computer simulations are carried out by using real data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Electroencephalogram / Real-coded Genetic Algorithms / Structure Equation Model / Mental Change |
Paper # | HIP2006-37 |
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Committee | HIP |
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Conference Date | 2006/6/29(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The Proposal of the Feature Extraction Method in Weighted Principal Frequency Components Using the RGA |
Sub Title (in English) | |
Keyword(1) | Electroencephalogram |
Keyword(2) | Real-coded Genetic Algorithms |
Keyword(3) | Structure Equation Model |
Keyword(4) | Mental Change |
1st Author's Name | Shin-ichi ITO |
1st Author's Affiliation | Graduate School of Bio-Applications & Systems Engineering, Tokyo University of Agriculture and Technology() |
2nd Author's Name | Yasue MITSUKURA |
2nd Author's Affiliation | Graduate School of Bio-Applications & Systems Engineering, Tokyo University of Agriculture and Technology |
3rd Author's Name | Nakamura Hiroko MIYAMURA |
3rd Author's Affiliation | Graduate School of Bio-Applications & Systems Engineering, Tokyo University of Agriculture and Technology |
4th Author's Name | Takafumi SAITO |
4th Author's Affiliation | Graduate School of Bio-Applications & Systems Engineering, Tokyo University of Agriculture and Technology |
5th Author's Name | Minoru FUKUMI |
5th Author's Affiliation | Department of Information Science & Intelligent System, Faculty of Engineering University of Tokushima |
Date | 2006/6/29 |
Paper # | HIP2006-37 |
Volume (vol) | vol.106 |
Number (no) | 143 |
Page | pp.pp.- |
#Pages | 6 |
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