| Presentation | 2021-10-28 A Study on Affective BCI Using Reservoir Computing and Fractal Analysis Yuuma Matsuda, Masahiro Nakagawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Today, the Brain Computer Interface (BCI) using EEG for quantification of sensitivity have been studying, and the deep learning algorithms are being actively used for analysis method. However, the deep learning algorithms require machine power, which is not suitable for implementation and operation of BCI using EEG. In this study, we investigate a simpler and faster method with the Echo State Network (ESN). The proposed method performs fast classification of EEG data by fractal analysis of time series of ESN middle layer output. As a result, the feasibility of fractal analysis of the ESN is confirmed, and the classification experiments suggest the possibility of constructing the more practical BCI. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | BCI / Electroencephalogram / Fractal / Echo State Network / Emotion evaluation |
| Paper # | MBE2021-22 |
| Date of Issue | 2021-10-21 (MBE) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2021/10/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.) |
| Vice Chair | Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo) |
| Secretary | Junichi Hori(Osaka Electro-Communication Univ) / Hiroshi Yamakawa(ATR) |
| Assistant | Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Affective BCI Using Reservoir Computing and Fractal Analysis |
| Sub Title (in English) | |
| Keyword(1) | BCI |
| Keyword(2) | Electroencephalogram |
| Keyword(3) | Fractal |
| Keyword(4) | Echo State Network |
| Keyword(5) | Emotion evaluation |
| 1st Author's Name | Yuuma Matsuda |
| 1st Author's Affiliation | Nagaoka University of Technology(NUT) |
| 2nd Author's Name | Masahiro Nakagawa |
| 2nd Author's Affiliation | Nagaoka University of Technology(NUT) |
| Date | 2021-10-28 |
| Paper # | MBE2021-22 |
| Volume (vol) | vol.121 |
| Number (no) | MBE-222 |
| Page | pp.pp.26-31(MBE), |
| #Pages | 6 |
| Date of Issue | 2021-10-21 (MBE) |