{"id":231024,"created":"2025-01-19T01:31:08.515534+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00231024","sets":["6504:11436:11444"]},"path":["11444"],"owner":"44499","recid":"231024","title":["光学センサの統合に基づく歩行機能の計測評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"a24d4b95-3b51-4f06-bf91-26d2ba248e16"},"_deposit":{"id":"231024","pid":{"type":"depid","value":"231024","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"光学センサの統合に基づく歩行機能の計測評価","author_link":["623037","623034","623035","623036"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"光学センサの統合に基づく歩行機能の計測評価"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","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":"神奈川工科大"},{"subitem_text_value":"日本女子大"},{"subitem_text_value":"日本女子大"},{"subitem_text_value":"神奈川工科大"}]},"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/231024/files/IPSJ-Z85-4ZM-03.pdf","label":"IPSJ-Z85-4ZM-03.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4ZM-03.pdf","filesize":[{"value":"419.2 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"5a5c6b24-0773-4098-8bec-ae87117b25b9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"須藤, 陸"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中島, 麻耶子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小川, 賀代"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"三枝, 亮"}],"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":"高齢者のフレイル予防の対策では歩行機能の維持が重要であり，日常的に歩行機能を計測評価することで，転倒・骨折リスクの早期発見が期待できる．臨床現場では歩行計測の手段として，Timed Up & Go Testが用いられている．本研究では，3つの光学センサを統合し，TUG Testの計測評価を自動化する方法を提案する．本システムは座面センサ，深度カメラ，測域センサより構成され，動作の開始終了タイミング，動作時の全身姿勢，両脚の位置速度を測定する．これらの測定情報を統合することで，TUG Testの計測評価を自動化し，苦手動作を推定する．また，計測対象者を追従認識することで補助者を除外し，計測時の安全性を高める．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"986","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"985","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T10:54:22.554778+00:00","links":{}}