| Presentation | 2010-07-12 On the NIRS Emotion Analysis by with Semi-Parametric Statistics Takumi SASE, Masahiro NAKAGAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Brain Affective Interface (BAI) technology is essential for humans that cannot express emotion properly such as ALS patients. Although Emotion Near Infrared-rays Analysis System (ENIAS) was developed to quantify human emotion non-invasively, it has taken much time for subject training. The purpose of this study is to estimate positions concerned with emotion and to reduce them by using semi-parametric statistics. We quantified NIRS signals at sensation-based affect by Hurst exponential estimated from R/S statistics. The result suggests that we can reduce measurement channels from 24 channels to 18 channels and that the training time become approximately half. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | BAI technology / NIRS / Semi-parametric statistics / Hurst exponetial / Emotion |
| Paper # | NLP2010-29 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2010/7/5(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On the NIRS Emotion Analysis by with Semi-Parametric Statistics |
| Sub Title (in English) | |
| Keyword(1) | BAI technology |
| Keyword(2) | NIRS |
| Keyword(3) | Semi-parametric statistics |
| Keyword(4) | Hurst exponetial |
| Keyword(5) | Emotion |
| 1st Author's Name | Takumi SASE |
| 1st Author's Affiliation | Faculty of Engineering, Nagaoka University of Technology() |
| 2nd Author's Name | Masahiro NAKAGAWA |
| 2nd Author's Affiliation | Faculty of Engineering, Nagaoka University of Technology |
| Date | 2010-07-12 |
| Paper # | NLP2010-29 |
| Volume (vol) | vol.110 |
| Number (no) | 122 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |