{"updated":"2025-01-19T19:02:11.294133+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00207827","sets":["6201:6202:9108:10405"]},"path":["10405"],"owner":"44499","recid":"207827","title":["複数台のデバイスとのWi-Fiチャネル状態情報を用いた人物認識の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-09-11"},"_buckets":{"deposit":"fbf58bbe-8f5f-4362-b7b7-f5f57a596dfe"},"_deposit":{"id":"207827","pid":{"type":"depid","value":"207827","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"複数台のデバイスとのWi-Fiチャネル状態情報を用いた人物認識の検討","author_link":["519581","519583","519582"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"複数台のデバイスとのWi-Fiチャネル状態情報を用いた人物認識の検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"一般","subitem_subject_scheme":"Other"}]},"item_type_id":"19","publish_date":"2020-09-11","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_19_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"近畿大学"},{"subitem_text_value":"近畿大学"},{"subitem_text_value":"近畿大学"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/207827/files/IPSJ-Kansai2020082.pdf","label":"IPSJ-Kansai2020082.pdf"},"date":[{"dateType":"Available","dateValue":"2020-09-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Kansai2020082.pdf","filesize":[{"value":"823.8 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"83eca436-f941-4252-b131-97a9a7bf24de","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_19_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"馬渕, 大泰"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"谷口, 義明"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"白浜, 公章"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_19_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1884-197X","subitem_source_identifier_type":"ISSN"}]},"item_19_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では研究室に設置した12台のRaspberry Piと1台のノートPCとの間のWi-Fiチャネル状態情報を元に,機械学習による人物認識を行う.MLPを用いた結果,最大98.2%の精度で人物認識が行えることを確認した.","subitem_description_type":"Other"}]},"item_19_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"2020年度 情報処理学会関西支部 支部大会 講演論文集"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2020-09-11","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2020"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:09:26.334672+00:00","id":207827,"links":{}}