WEKO3
アイテム
{"_buckets": {"deposit": "0ba1bf76-b844-4994-bf9c-f8b1476b5781"}, "_deposit": {"created_by": 10, "id": "7045", "owners": [10], "pid": {"revision_id": 0, "type": "depid", "value": "7045"}, "status": "published"}, "_oai": {"id": "oai:repository.lib.tottori-u.ac.jp:00007045", "sets": ["10", "15"]}, "author_link": ["2512", "26135", "26136"], "item_10003_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2020-11", "bibliographicIssueDateType": "Issued"}, "bibliographic_titles": [{"bibliographic_title": "Proceedings of the 2020 IEEE Region 10 Conference (TENCON2020)"}, {"bibliographic_title": "Proceedings of the 2020 IEEE Region 10 Conference (TENCON2020)", "bibliographic_titleLang": "en"}]}]}, "item_10003_checkbox_27": {"attribute_name": "部局名", "attribute_value_mlt": [{"subitem_checkbox_item": ["kou-gakubu"]}]}, "item_10003_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "In this study, we propose the authentication of individuals using electroencephalograms (EEGs) evoked by the application of invisible visual stimuli. In our previous study, we introduced a wavelet transform, which is a time-frequency analysis method, and applied it to extract features, including time information, to enable more accurate discrimination between individuals. An equal error rate (EER) of 9.4 % was achieved using Euclidean distance matching. In this paper, we introduce a machine learning-based approach in order to further improve the verification performance. An EER of 8.1 % is achieved by the proposed method after training the constituent neural networks using ensemble learning with 30 networks.", "subitem_description_type": "Other"}]}, "item_10003_relation_16": {"attribute_name": "情報源", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "T. Miyake, N. Kinjo, I.Nakanishi. Wavelet Transform and Machine Learning-Based Biometric Authentication Using EEG Evoked by Invisible Visual Stimuli. Proceedings of the 2020 IEEE Region 10 Conference (TENCON2020). 2020."}]}]}, "item_10003_rights_15": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collec"}]}, "item_10003_text_25": {"attribute_name": "EARMAS ID", "attribute_value_mlt": [{"subitem_text_value": "10102"}]}, "item_10003_text_29": {"attribute_name": "最新掲載誌名", "attribute_value_mlt": [{"subitem_text_value": ";;Proceedings of the 2020 IEEE Region 10 Conference (TENCON2020)"}]}, "item_10003_text_33": {"attribute_name": "著者所属(英)", "attribute_value_mlt": [{"subitem_text_language": "en", "subitem_text_value": "Graduate School of Sustainability Sciences Tottori University"}, {"subitem_text_language": "en", "subitem_text_value": "Graduate School of Sustainability Sciences Tottori University"}, {"subitem_text_language": "en", "subitem_text_value": "Faculty of Engineering, Tottori University"}]}, "item_10003_version_type_20": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_ab4af688f83e57aa", "subitem_version_type": "AM"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "中西, 功"}, {"creatorName": "ナカニシ, イサオ", "creatorNameLang": "ja-Kana"}, {"creatorName": "Nakanishi, Isao", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "2512", "nameIdentifierScheme": "WEKO"}, {"nameIdentifier": "80243377", "nameIdentifierScheme": "e-Rad", "nameIdentifierURI": "https://kaken.nii.ac.jp/ja/search/?qm=80243377"}, {"nameIdentifier": "100000543", "nameIdentifierScheme": "研究者総覧鳥取大学", "nameIdentifierURI": "http://researchers.adm.tottori-u.ac.jp/html/100000543_ja.html"}]}, {"creatorNames": [{"creatorName": "Miyake, Takahiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "26135", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Kinjo, Nozomu", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "26136", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2023-03-17"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "TENCON2020_Miyakle.pdf", "filesize": [{"value": "1.5 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensefree": "© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collec", "licensetype": "license_note", "mimetype": "application/pdf", "size": 1500000.0, "url": {"label": "TENCON2020_Miyakle.pdf", "url": "https://repository.lib.tottori-u.ac.jp/record/7045/files/TENCON2020_Miyakle.pdf"}, "version_id": "7ac44058-26ea-466f-92ea-83df3080844e"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "Biometric authentication", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Invisible stimulation Machine Learning", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Electroencephalogram (EEG)", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Wavelet Transform", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Biometric authentication", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Invisible stimulation Machine Learning", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Electroencephalogram (EEG)", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Wavelet Transform", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "conference paper", "resourceuri": "http://purl.org/coar/resource_type/c_5794"}]}, "item_title": "Wavelet Transform and Machine Learning-Based Biometric Authentication Using EEG Evoked by Invisible Visual Stimuli", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Wavelet Transform and Machine Learning-Based Biometric Authentication Using EEG Evoked by Invisible Visual Stimuli", "subitem_title_language": "en"}]}, "item_type_id": "10003", "owner": "10", "path": ["10", "15"], "permalink_uri": "https://repository.lib.tottori-u.ac.jp/records/7045", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2020-11-20"}, "publish_date": "2020-11-20", "publish_status": "0", "recid": "7045", "relation": {}, "relation_version_is_last": true, "title": ["Wavelet Transform and Machine Learning-Based Biometric Authentication Using EEG Evoked by Invisible Visual Stimuli"], "weko_shared_id": -1}
Wavelet Transform and Machine Learning-Based Biometric Authentication Using EEG Evoked by Invisible Visual Stimuli
https://repository.lib.tottori-u.ac.jp/records/7045
https://repository.lib.tottori-u.ac.jp/records/7045ebaaa025-76d0-44ca-b1f0-7d0feeb8c060
名前 / ファイル | ライセンス | アクション |
---|---|---|
![]() |
|
Item type | 会議発表論文 / Conference Paper(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2020-11-20 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Wavelet Transform and Machine Learning-Based Biometric Authentication Using EEG Evoked by Invisible Visual Stimuli | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題 | Biometric authentication | |||||
キーワード | ||||||
主題 | Invisible stimulation Machine Learning | |||||
キーワード | ||||||
主題 | Electroencephalogram (EEG) | |||||
キーワード | ||||||
主題 | Wavelet Transform | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Biometric authentication | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Invisible stimulation Machine Learning | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Electroencephalogram (EEG) | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Wavelet Transform | |||||
資源タイプ | ||||||
資源タイプ | conference paper | |||||
著者 |
中西, 功
× 中西, 功× Miyake, Takahiro× Kinjo, Nozomu |
|||||
著者所属(英) | ||||||
en | ||||||
Graduate School of Sustainability Sciences Tottori University | ||||||
著者所属(英) | ||||||
en | ||||||
Graduate School of Sustainability Sciences Tottori University | ||||||
著者所属(英) | ||||||
en | ||||||
Faculty of Engineering, Tottori University | ||||||
抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | In this study, we propose the authentication of individuals using electroencephalograms (EEGs) evoked by the application of invisible visual stimuli. In our previous study, we introduced a wavelet transform, which is a time-frequency analysis method, and applied it to extract features, including time information, to enable more accurate discrimination between individuals. An equal error rate (EER) of 9.4 % was achieved using Euclidean distance matching. In this paper, we introduce a machine learning-based approach in order to further improve the verification performance. An EER of 8.1 % is achieved by the proposed method after training the constituent neural networks using ensemble learning with 30 networks. | |||||
書誌情報 |
Proceedings of the 2020 IEEE Region 10 Conference (TENCON2020) en : Proceedings of the 2020 IEEE Region 10 Conference (TENCON2020) 発行日 2020-11 |
|||||
権利 | ||||||
権利情報 | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collec | |||||
情報源 | ||||||
関連名称 | T. Miyake, N. Kinjo, I.Nakanishi. Wavelet Transform and Machine Learning-Based Biometric Authentication Using EEG Evoked by Invisible Visual Stimuli. Proceedings of the 2020 IEEE Region 10 Conference (TENCON2020). 2020. | |||||
著者版フラグ | ||||||
出版タイプ | AM |