Paper Abstract and Keywords |
Presentation |
2007-06-14 09:30
A Design of the EEG feature detection and condition classification Junko Murakami, Eriko Yokomatsu, Shin-ichi Ito, Yasue Mitsukura (TUAT), Jianting Cao (SIT), Minoru Fukumi (Univ. of Tokushima) NC2007-8 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper,we classify the smoking conditions(before smoking and after smoking) by using the EEG. Moreover, we extract frequency characteristic of conditions. First, we measure the EEG data for subjects by using the simple electroencephalograph. Then, the EEG feature is extracted by using the singular value decomposition (SVD).
We classify and extract feature of the smoking conditions by using the fuzzy c-means (FCM). Then, in order to show the effectiveness of the proposed method, computer simulations are done. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
EEG / Fuzzy Cmeans / Singular Value Decomposition / Smoking / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 92, NC2007-8, pp. 1-4, June 2007. |
Paper # |
NC2007-8 |
Date of Issue |
2007-06-07 (NC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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NC2007-8 |
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