| Presentation | 2021-11-26 [Poster Presentation] Signal-Completion-Based Pre-Training Scheme for EEG with Various Number of Electrodes Yuma Tsurugasaki, Akihito Taya, Yoshito Tobe, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Machine learning using electroencephalographs (EEG) data can be used to infer various human states such as emotions and activities. Because there are devices to obtain EEG with different numbers of electrodes, there is a challenge to train neural networks using input data with various sizes. It can be a problem when fine-tuning pre-trained models to apply it to different tasks, such as different users. In order to solve this problem, this paper proposes a pre-training scheme with signal interpolation to learn EEG data with the different number of electrodes at once. Evaluations are conducted to compare the performance of different interpolation methods applied to fine-tuning and meta-learning, respectively. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Electroencephalogram / Meta learning / Model-agnostic meta-learning / Electrode interpolation |
| Paper # | SRW2021-50,SeMI2021-49,CNR2021-24 |
| Date of Issue | 2021-11-18 (SRW, SeMI, CNR) |
| Conference Information | |
| Committee | SRW / SeMI / CNR |
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| Conference Date | 2021/11/25(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IoT Workshop |
| Chair | Hanako Noda(Anritsu) / Koji Yamamoto(Kyoto Univ.) / Masayuki Kanbara(NAIST) |
| Vice Chair | Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Denki Univ.) / Hirokazu Sawada(NICT) / Kazuya Monden(Hitachi) / Yasunori Owada(NICT) / Yoshihiko Murakawa(Kyoto Inst. of Tech.) |
| Secretary | Keiichi Mizutani(NTT) / Kentaro Saito(NIigata Univ.) / Hirokazu Sawada(Cyber Univ.) / Kazuya Monden(Waseda Univ.) / Yasunori Owada(Osaka Univ.) / Yoshihiko Murakawa(Toshiba) |
| Assistant | Akihito Noda(Nanzan Univ.) / Yuki Katsumata(NTT DOCOMO) / Akihito Taya(Aoyama Gakuin Univ.) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / Yuta Hoshi(NHK) / Junji Yamato(Kogakuin Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Short Range Wireless Communications / Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Cloud Network Robotics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Signal-Completion-Based Pre-Training Scheme for EEG with Various Number of Electrodes |
| Sub Title (in English) | |
| Keyword(1) | Electroencephalogram |
| Keyword(2) | Meta learning |
| Keyword(3) | Model-agnostic meta-learning |
| Keyword(4) | Electrode interpolation |
| 1st Author's Name | Yuma Tsurugasaki |
| 1st Author's Affiliation | Aoyama Gakuin University(Aoyama Gakuin Univ.) |
| 2nd Author's Name | Akihito Taya |
| 2nd Author's Affiliation | Aoyama Gakuin University(Aoyama Gakuin Univ.) |
| 3rd Author's Name | Yoshito Tobe |
| 3rd Author's Affiliation | Aoyama Gakuin University(Aoyama Gakuin Univ.) |
| Date | 2021-11-26 |
| Paper # | SRW2021-50,SeMI2021-49,CNR2021-24 |
| Volume (vol) | vol.121 |
| Number (no) | SRW-265,SeMI-266,CNR-267 |
| Page | pp.pp.79-81(SRW), pp.66-68(SeMI), pp.56-58(CNR), |
| #Pages | 3 |
| Date of Issue | 2021-11-18 (SRW, SeMI, CNR) |