The proposal of the EEG characteristics extraction method in weighted principal frequency components using the RGA

Shin Ichi Ito, Yasue Mitsukura, Hiroko Nakamura Miyamura, Takafumi Saito, Minoru Fukumi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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 are different. The real-coded genetic algorithm (: RGA) is used for selecting and being weighted the principal characteristic frequency components. We attempt to construct mental change appearance model (: MCAM) of only one measurement point. In order to show the effectiveness of the proposed method, computer simulations are carried out by using real data.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Pages1152-1155
Number of pages4
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Other

Other2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of
CityBusan
Period06/10/1806/10/21

Fingerprint

Electroencephalography
Genetic algorithms
Computer simulation

Keywords

  • Electroencephalogram
  • Latency structure model
  • Mental change
  • Real-coded genetic algorithms (RGA)

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Ito, S. I., Mitsukura, Y., Miyamura, H. N., Saito, T., & Fukumi, M. (2006). The proposal of the EEG characteristics extraction method in weighted principal frequency components using the RGA. In 2006 SICE-ICASE International Joint Conference (pp. 1152-1155). [4109136] https://doi.org/10.1109/SICE.2006.315293

The proposal of the EEG characteristics extraction method in weighted principal frequency components using the RGA. / Ito, Shin Ichi; Mitsukura, Yasue; Miyamura, Hiroko Nakamura; Saito, Takafumi; Fukumi, Minoru.

2006 SICE-ICASE International Joint Conference. 2006. p. 1152-1155 4109136.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ito, SI, Mitsukura, Y, Miyamura, HN, Saito, T & Fukumi, M 2006, The proposal of the EEG characteristics extraction method in weighted principal frequency components using the RGA. in 2006 SICE-ICASE International Joint Conference., 4109136, pp. 1152-1155, 2006 SICE-ICASE International Joint Conference, Busan, Korea, Republic of, 06/10/18. https://doi.org/10.1109/SICE.2006.315293
Ito SI, Mitsukura Y, Miyamura HN, Saito T, Fukumi M. The proposal of the EEG characteristics extraction method in weighted principal frequency components using the RGA. In 2006 SICE-ICASE International Joint Conference. 2006. p. 1152-1155. 4109136 https://doi.org/10.1109/SICE.2006.315293
Ito, Shin Ichi ; Mitsukura, Yasue ; Miyamura, Hiroko Nakamura ; Saito, Takafumi ; Fukumi, Minoru. / The proposal of the EEG characteristics extraction method in weighted principal frequency components using the RGA. 2006 SICE-ICASE International Joint Conference. 2006. pp. 1152-1155
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