{"id":231488,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00231488","sets":["1164:3616:11132:11410"]},"path":["11410"],"owner":"44499","recid":"231488","title":["Azure Kinectを用いた骨格推定に基づく姿勢評価方法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-12-04"},"_buckets":{"deposit":"799c3ced-7a8c-4108-96a4-c598548b52d3"},"_deposit":{"id":"231488","pid":{"type":"depid","value":"231488","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Azure Kinectを用いた骨格推定に基づく姿勢評価方法の提案","author_link":["625028","625025","625027","625026"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Azure Kinectを用いた骨格推定に基づく姿勢評価方法の提案"},{"subitem_title":"Proposal of a posture evaluation method based on skeletal estimation using Azure Kinect","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2023-12-04","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"工学院大学大学院工学研究科"},{"subitem_text_value":"工学院大学先進工学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Kogakuin University","subitem_text_language":"en"},{"subitem_text_value":"School of Advanced Engineering, Kogakuin University","subitem_text_language":"en"}]},"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/231488/files/IPSJ-AVM23123012.pdf","label":"IPSJ-AVM23123012.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AVM23123012.pdf","filesize":[{"value":"1.6 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"27"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"782ba96c-295b-48f5-be60-f93ea8b54f5c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小澤, 佑起"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"金丸, 隆志"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuki, Ozawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takashi, Kanamaru","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438399","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":"2188-8582","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では，Azure Kinect を用いた骨格推定に基づく姿勢評価方法を提案する．客観的な姿勢評価方法を実現するため，人体の骨格に基づいて算出される胸椎後弯角と頚椎前弯角を Azure Kinect を用いて推定することを目指す．Azure Kinect は肩，肘，膝などの計 32 個の骨格点を取得できる．上述の角度は脊柱の状態と Azure Kinect の骨格を対応付けるためのいくつかの仮定をもとに推定する．得られた姿勢評価方法を 20 代前半男性に適用し，臨床で活用できる可能性を検討した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this study, we propose a posture evaluation method based on skeletal estimation using Azure Kinect. To realize an objective posture evaluation method, we estimate the thoracic kyphosis angle and cervical kyphosis angle calculated based on the human skeletal points including shoulder, elbow, and knee, obtained by Azure Kinect. To calculate these angles, it is assumed that the state of the spine can be mapped to the Azure Kinect skeleton. The proposed postural evaluation method was applied to a male in his early 20s to examine its validity for the clinical use.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告オーディオビジュアル複合情報処理（AVM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-12-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicVolumeNumber":"2023-AVM-123"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T10:44:40.901436+00:00","created":"2025-01-19T01:31:49.330967+00:00","links":{}}