{"_buckets": {"deposit": "c3af9056-cd19-4c3c-96f1-03393d93724f"}, "_deposit": {"created_by": 10, "id": "7040", "owners": [10], "pid": {"revision_id": 0, "type": "depid", "value": "7040"}, "status": "published"}, "_oai": {"id": "oai:repository.lib.tottori-u.ac.jp:00007040", "sets": ["10", "15"]}, "author_link": ["2512", "26120", "26121"], "item_10003_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2019", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "368", "bibliographicPageStart": "365", "bibliographic_titles": [{"bibliographic_title": "Proceedings of 2019 42nd International Conference on Telecommunications and Signal Processing (TSP2019)"}, {"bibliographic_title": "Proceedings of 2019 42nd International Conference on Telecommunications and Signal Processing (TSP2019)", "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 recent years, biometrics such as fingerprints and iris scans has been used in authentication. However, conventional biometrics is vulnerable to identity theft, especially in user management systems. As a new biometric without this vulnerability, we focused on brain waves. In this paper, we show that individuals can be authenticated using evoked potentials when they are subjected to ultrasound. We measured the electroencephalograms (EEGs) of 10 experimental ubjects. Individual features were extracted from the power spectra of the EEGs using the principle component analysis and verification was achieved using the support vector machine. We found that for the proposed authentication method, the equal error rate for a single electrode was about 22-32 %. For a multi-electrode, the equal error rate was 4.4 % using the majority decision rule.", "subitem_description_type": "Other"}]}, "item_10003_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "IEEE"}]}, "item_10003_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "10.1109/TSP.2019.8769090", "subitem_relation_type_select": "DOI"}}]}, "item_10003_relation_16": {"attribute_name": "情報源", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "Nakanishi Isao, Maruoka Takehiro. Biometric authentication using evoked potentials stimulated by personal ultrasound. Proceedings of 2019 42nd International Conference on Telecommunications and Signal Processing (TSP), pp. 365-368, Jul. 2019."}]}]}, "item_10003_rights_15": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "© 2019 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": "6689"}]}, "item_10003_text_33": {"attribute_name": "著者所属（英）", "attribute_value_mlt": [{"subitem_text_language": "en", "subitem_text_value": "Faculty of Engineering Tottori University"}, {"subitem_text_language": "en", "subitem_text_value": "Graduate School of Sustainability Sciences 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": "Nakanishi, Isao"}, {"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": "Maruoka, Takehiro"}, {"creatorName": "マルオカ, タケヒロ", "creatorNameLang": "ja-Kana"}], "nameIdentifiers": [{"nameIdentifier": "26120", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Maruoka, Takehiro", "creatorNameLang": "en"}, {"creatorName": "マルオカ, タケヒロ", "creatorNameLang": "ja-Kana"}], "nameIdentifiers": [{"nameIdentifier": "26121", "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": "TSP2019_365.pdf", "filesize": [{"value": "236.1 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensefree": "© 2019 IEEE. 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