{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00241802","sets":["1164:8666:11564:11871"]},"path":["11871"],"owner":"44499","recid":"241802","title":["食行動認識システムを用いた高齢者の状態推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-12-16"},"_buckets":{"deposit":"d963b103-dc7e-443e-a10d-0f7c19d39709"},"_deposit":{"id":"241802","pid":{"type":"depid","value":"241802","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"食行動認識システムを用いた高齢者の状態推定","author_link":["666268","666269"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"食行動認識システムを用いた高齢者の状態推定"},{"subitem_title":"Effects for eating behavior by talking with agent systems","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セッション2","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-12-16","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神奈川工科大学"},{"subitem_text_value":"神奈川工科大学"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/241802/files/IPSJ-AAC24026003.pdf","label":"IPSJ-AAC24026003.pdf"},"date":[{"dateType":"Available","dateValue":"2026-12-16"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AAC24026003.pdf","filesize":[{"value":"5.8 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":"52"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"6f9f8fe7-0aa3-410e-9199-9397165526f6","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松田, 輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"三枝, 亮"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12752949","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2432-2431","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"高齢者の誤嚥事故を防ぐためには介助者による見守りが重要となる一方で，人手不足により各人への十分な支援が難しく，福祉機器による介助支援への期待が高まっている．前研究では対話をしながら食事を摂る様子を 4 状態で分類する手法を提案した．またエージェントと音声対話をした際の食行動を分析し，エージェント対話が及ぼす食行動への影響を検証したところ，食行動の変化は一様でないことが示唆された．本研究では 2 機のカメラが机上と食事者をそれぞれ撮影することで認識範囲を拡張した食行動認識システムを作成し，状態推定を行うアルゴリズムを提案する．また高齢者福祉施設で実際の高齢者の食行動の状態を推定することで，本システムを高齢者に適用した際の評価を行う．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"While it is important for caregivers to watch over the elderly to prevent aspiration accidents, it is difficult to provide sufficient support to each person due to a lack of manpower, and there are growing expectations for the use of welfare equipment to assist caregivers.In our previous study, we proposed a method to classify eating while interacting with an agent in four states.We also analyzed eating behavior during voice interaction with an agent and verified the effect of agent interaction on eating behavior, suggesting that changes in eating behavior are not uniform.In this study, we created a food behavior recognition system that extends the recognition range by having two cameras capture images of the table and the eater, respectively, and proposed an algorithm to estimate the state of the eater. We will also evaluate the system when applied to elderly people by estimating the state of eating behavior of actual elderly people at a welfare facility for the elderly.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告アクセシビリティ（AAC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-12-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2024-AAC-26"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":241802,"updated":"2025-01-19T07:32:57.903419+00:00","links":{},"created":"2025-01-19T01:46:37.599206+00:00"}