{"created":"2023-08-02T03:57:56.166250+00:00","id":7054,"links":{},"metadata":{"_buckets":{"deposit":"af5c7710-2790-4f24-9fe9-2256217d3425"},"_deposit":{"created_by":10,"id":"7054","owners":[10],"pid":{"revision_id":0,"type":"depid","value":"7054"},"status":"published"},"_oai":{"id":"oai:repository.lib.tottori-u.ac.jp:00007054","sets":["1:10","2:15"]},"author_link":["2512","26147","26148"],"item_10003_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"391","bibliographicPageStart":"388","bibliographic_titles":[{"bibliographic_title":"Proceedings of 2022 tenth International Symposium on Computing and Networking Workshops(CANDARW)"},{"bibliographic_title":"Proceedings of 2022 tenth International Symposium on Computing and Networking Workshops(CANDARW)","bibliographic_titleLang":"en"}]}]},"item_10003_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In user verification using electroencephalograms (EEGs) evoked by ultrasound, an error rate of 0% was achieved. However, to achieve this, the classifiers for the number of features multiplied by the number of electrodes must be learned. Therefore, reducing the number of classifiers is crucial and must be achieved. This study confirmed that the random selection of features and electrodes facilitates further reduction in the number of classifiers. Random selection is equivalent to evenly selecting electrodes for each feature and electrode position. Consequently, the effectiveness of even selection was statistically confirmed. Furthermore, even selection resulted in the fusion of uncorrelated features. Thus, four statistical values of an EEG were introduced, and the effectiveness of fusing uncorrelated (independent) features was confirmed.","subitem_description_type":"Other"}]},"item_10003_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_10003_relation_16":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"I Nakanishi, Y Ishikawa, K Mukai. Correlation Analysis of Features for Fusing in User Verification Using EEG Evoked by Ultrasound. Proceedings of 2022 tenth International Symposium on Computing and Networking Workshops(CANDARW). 2022, 388-391."}]}]},"item_10003_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"https://www.computer.org/csdl/proceedings/1829704"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.computer.org/csdl/proceedings/1829704","subitem_relation_type_select":"URI"}}]},"item_10003_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2022 IEEE."}]},"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":"School 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":"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":"Ishikawa, Yuta","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"26147","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Mukai, Kotaro","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"26148","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":"CANDARW2022_388.pdf","filesize":[{"value":"376.7 kB"}],"format":"application/pdf","licensefree":"© 2022 IEEE.","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"CANDARW2022_388.pdf","url":"https://repository.lib.tottori-u.ac.jp/record/7054/files/CANDARW2022_388.pdf"},"version_id":"b7289809-9813-42b8-9322-1e18d3d60329"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"biometrics","subitem_subject_scheme":"Other"},{"subitem_subject":"evoked brain wave","subitem_subject_scheme":"Other"},{"subitem_subject":"reduction of classifiers","subitem_subject_scheme":"Other"},{"subitem_subject":"statistical values of brain waves","subitem_subject_scheme":"Other"},{"subitem_subject":"support vector machine","subitem_subject_scheme":"Other"},{"subitem_subject":"ultrasound","subitem_subject_scheme":"Other"},{"subitem_subject":"biometrics","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"evoked brain wave","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"reduction of classifiers","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"statistical values of brain waves","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"support vector machine","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"ultrasound","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":"Correlation Analysis of Features for Fusing in User Verification Using EEG Evoked by Ultrasound","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Correlation Analysis of Features for Fusing in User Verification Using EEG Evoked by Ultrasound","subitem_title_language":"en"}]},"item_type_id":"10003","owner":"10","path":["10","15"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2022-12-07"},"publish_date":"2022-12-07","publish_status":"0","recid":"7054","relation_version_is_last":true,"title":["Correlation Analysis of Features for Fusing in User Verification Using EEG Evoked by Ultrasound"],"weko_creator_id":"10","weko_shared_id":-1},"updated":"2023-11-22T01:39:02.221012+00:00"}