{"created":"2023-08-02T03:57:55.586753+00:00","id":7045,"links":{},"metadata":{"_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":["1:10","2:15"]},"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_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_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","filename":"TENCON2020_Miyakle.pdf","filesize":[{"value":"1.5 MB"}],"format":"application/pdf","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","url":{"label":"TENCON2020_Miyakle.pdf","url":"https://repository.lib.tottori-u.ac.jp/record/7045/files/TENCON2020_Miyakle.pdf"},"version_id":"81292ec6-0a20-4a49-bc46-a9deb32beb89"}]},"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"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-11-20"},"publish_date":"2020-11-20","publish_status":"0","recid":"7045","relation_version_is_last":true,"title":["Wavelet Transform and Machine Learning-Based Biometric Authentication Using EEG Evoked by Invisible Visual Stimuli"],"weko_creator_id":"10","weko_shared_id":-1},"updated":"2023-11-22T01:38:30.294643+00:00"}