{"created":"2025-01-19T01:13:53.291059+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00212968","sets":["6164:6165:6640:10712"]},"path":["10712"],"owner":"44499","recid":"212968","title":["水圧センサを用いた浴槽入水者識別手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-06-23"},"_buckets":{"deposit":"c0d4ccbe-bc19-48f0-ae8a-e94436c7a0f8"},"_deposit":{"id":"212968","pid":{"type":"depid","value":"212968","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"水圧センサを用いた浴槽入水者識別手法の提案","author_link":["544145","544144"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"水圧センサを用いた浴槽入水者識別手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ユビキタスコンピューティングシステム","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2021-06-23","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"立命館大学情報理工学部"},{"subitem_text_value":"立命館大学情報理工学部／JSTさきがけ"}]},"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/212968/files/IPSJ-DICOMO2021070.pdf","label":"IPSJ-DICOMO2021070.pdf"},"date":[{"dateType":"Available","dateValue":"2023-06-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2021070.pdf","filesize":[{"value":"4.8 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c6ae5b77-55fa-4387-be14-bfdade69f502","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"蔵田, 直生"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"村尾, 和哉"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"住宅環境の中でも，浴槽内は特に死亡事故件数が多いと報告されているため，浴槽入浴中の体勢などの情報を個人と紐づけて把握することは重要である．本研究では浴槽に湯を注水しながら入浴する状況，入水によって浴槽から湯が溢れる状況において，浴槽の底に設置した水圧センサから入水時の水圧の変化を取得し，入水者を識別する手法を提案した．提案手法は，取得した水圧データから 1 回の入水区間の波形を切り出す．そして，注水による水圧の変化を除去して入水のみによる水圧の変化を取得する．その後，注水による水圧変化を除去した入水波形と，事前に個人と紐づけて登録された通常状況での入水波形との DTW 距離を計算し，k 近傍法によって得られた登録データの個人を識別結果として出力する．4 名の被験者から注水状況の入水データ，溢れ状況の入水データ，通常状況の入水データを用いた評価実験より，溢れ状況では識別結果の平均 F 値 0.334，注水状況では識別結果の平均 F 値 0.792 が得られた．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"531","bibliographic_titles":[{"bibliographic_title":"マルチメディア，分散協調とモバイルシンポジウム2021論文集"}],"bibliographicPageStart":"524","bibliographicIssueDates":{"bibliographicIssueDate":"2021-06-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":212968,"updated":"2025-01-19T17:19:02.834084+00:00","links":{}}