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Reduction of Computational Amount in Person Verification Based on SVM Using Evoked Brain Wave by Ultrasound
https://repository.lib.tottori-u.ac.jp/records/2001231
https://repository.lib.tottori-u.ac.jp/records/2001231d18eb3ba-9858-4a7e-8b13-9efda949791b
名前 / ファイル | ライセンス | アクション |
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ijsps11(4)_17.pdf
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Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||
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公開日 | 2023-12-12 | |||||||||||||
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タイトル | Reduction of Computational Amount in Person Verification Based on SVM Using Evoked Brain Wave by Ultrasound | |||||||||||||
言語 | en | |||||||||||||
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言語 | eng | |||||||||||||
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言語 | en | |||||||||||||
主題Scheme | Other | |||||||||||||
主題 | biometrics | |||||||||||||
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言語 | en | |||||||||||||
主題Scheme | Other | |||||||||||||
主題 | electroencephalogram | |||||||||||||
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言語 | en | |||||||||||||
主題Scheme | Other | |||||||||||||
主題 | ultrasound | |||||||||||||
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言語 | en | |||||||||||||
主題Scheme | Other | |||||||||||||
主題 | support vector machine | |||||||||||||
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主題 | computational amount reduction | |||||||||||||
資源タイプ | ||||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||
資源タイプ | journal article | |||||||||||||
アクセス権 | ||||||||||||||
アクセス権 | open access | |||||||||||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||||
著者 |
中西,功
× 中西,功
WEKO
02512
× Kawakami,Kouki
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著者所属(英) | ||||||||||||||
言語 | en | |||||||||||||
値 | Faculty of Engineering Tottori University | |||||||||||||
著者所属(英) | ||||||||||||||
言語 | en | |||||||||||||
値 | School of Engineering Tottori University | |||||||||||||
抄録 | ||||||||||||||
内容記述タイプ | Other | |||||||||||||
内容記述 | For realizing continuous authentication of users, we have studied to use an electroencephalogram (EEG) evoked by ultrasound as biometrics. Users are presented only the ultrasound of their memorable music and verified whether genuine or not using the induced components of EEG. In our previous studies, the verification error rate of 0 % was achieved using multiple quantities in EEG as individual features and a support vector machine (SVM) as a verification method; however, it required a large amount of computation for processing SVM models. Thus, we reduce the number of SVM models by applying two selection methods of features and electrodes, which have been previously introduced. Furthermore, we examine the usage rates of features and electrodes in the reduced SVM models. By using only the electrodes with high usage rates, the verification error rate of 0 % is guaranteed with a small amount of computation. | |||||||||||||
言語 | en | |||||||||||||
書誌情報 |
en : International Journal of Signal Processing Systems 巻 11, 号 4, p. 17-24, ページ数 8, 発行日 2023-12 |
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出版者 | ||||||||||||||
出版者 | International Journal of Signal Processing Systems | |||||||||||||
言語 | en | |||||||||||||
ISSN | ||||||||||||||
収録物識別子タイプ | PISSN | |||||||||||||
収録物識別子 | 23154535 | |||||||||||||
DOI | ||||||||||||||
関連タイプ | isVersionOf | |||||||||||||
識別子タイプ | DOI | |||||||||||||
関連識別子 | https://doi.org/10.18178/ijsps.11.4.17-24 | |||||||||||||
権利 | ||||||||||||||
言語 | en | |||||||||||||
権利情報 | (C) 2023 by the authors. This is an open access article distributed under the terms of Creative Commons attributionnoncommercial license (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made. | |||||||||||||
情報源 | ||||||||||||||
関連名称 | International Journal of Signal Processing Systems. 11(4), 17-24. | |||||||||||||
著者版フラグ | ||||||||||||||
出版タイプ | VoR | |||||||||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |