{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236133","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236133","title":["基盤モデルを用いた食事の摂取量推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"090b393c-97fb-4619-be2c-e4dad90bd504"},"_deposit":{"id":"236133","pid":{"type":"depid","value":"236133","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"基盤モデルを用いた食事の摂取量推定","author_link":["645351","645350","645352","645349","645353","645348"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"基盤モデルを用いた食事の摂取量推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"福井大"},{"subitem_text_value":"福井大"},{"subitem_text_value":"福井大"},{"subitem_text_value":"福井大"},{"subitem_text_value":"福井大"},{"subitem_text_value":"福井大"}]},"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/236133/files/IPSJ-Z86-4T-02.pdf","label":"IPSJ-Z86-4T-02.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-4T-02.pdf","filesize":[{"value":"416.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"d976faca-cb21-4655-9c2f-f3ba7b762152","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"堀内, 敦遥"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中野, 雄太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"益本, 英明"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"長谷川, 達人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"和田, 海成"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"四谷, 淳子"}],"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_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"医療現場では患者の摂取した栄養を把握するため，病院内で提供された食事の残渣量の記録が行われている．この残渣量の記録は現在看護師の目視によって行われている．この作業を入院している患者全員分の食事に対して行うことは時間がかかり，看護師の負担となる．これを自動化することができれば負担の軽減につながる．本研究では，基盤モデルを用いた Zero-shot 食事領域認識により，看護業務における残渣量の自動記録を行うシステムの開発を行う．食前食後の画像1組を入力とし，基盤モデルを用いて料理領域の検出とセグメンテーションを行い，その情報を基に食事の残っている割合を推定する手法を開発し，評価した結果を報告する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"594","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"593","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236133,"updated":"2025-01-19T09:22:53.393282+00:00","links":{},"created":"2025-01-19T01:38:01.094818+00:00"}