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Decoding EEG signal for consumer-grade EEG device for Grasp-and-Lift tasks
https://ipsj.ixsq.nii.ac.jp/records/230323
https://ipsj.ixsq.nii.ac.jp/records/230323e58df1b9-85ac-49b6-a1f2-baa1e2c910a4
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-Z85-4Y-03.pdf (621.1 kB)
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Copyright (c) 2023 by the Information Processing Society of Japan
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| Item type | National Convention(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2023-02-16 | |||||||||
| タイトル | ||||||||||
| タイトル | Decoding EEG signal for consumer-grade EEG device for Grasp-and-Lift tasks | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | ネットワーク | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
| 資源タイプ | conference paper | |||||||||
| 著者所属 | ||||||||||
| Kyoto University of Advanced Science | ||||||||||
| 著者所属 | ||||||||||
| Kyoto University of Advanced Science | ||||||||||
| 著者名 |
Evotianus, Nicholas Darmawan
× Evotianus, Nicholas Darmawan
× Yoshihiro, Sato
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | BCI technology is used widely in research, because of the advantages and convenient use of a noninvasive method. While recent advances in decoding EEG decoders achieve promising practical results, most of the EEG devices used are high-quality and expensive, making it harder to apply as a daily product. Here, we studied to design a model to decode EEG signals from a higher number of channels and use it in consumer-grade EEG devices to decode Grasp-and-Lift tasks. By using 64 channels of 500 Hz EEG data, we resample it into 128 Hz and 14 channels to predict the recorded event. | |||||||||
| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00349328 | |||||||||
| 書誌情報 |
第85回全国大会講演論文集 巻 2023, 号 1, p. 109-110, 発行日 2023-02-16 |
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| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
