{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00213302","sets":["581:10433:10443"]},"path":["10443"],"owner":"44499","recid":"213302","title":["Joint Position Estimation for Body Pressure Images during Sleep: An Extension for CPM Using Body Area and Posture Estimation Mashups "],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-10-15"},"_buckets":{"deposit":"a9eaba6d-9187-4c5e-b8f3-87915bc96b81"},"_deposit":{"id":"213302","pid":{"type":"depid","value":"213302","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Joint Position Estimation for Body Pressure Images during Sleep: An Extension for CPM Using Body Area and Posture Estimation Mashups ","author_link":["545607","545606","545603","545604","545609","545608","545610","545605"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Joint Position Estimation for Body Pressure Images during Sleep: An Extension for CPM Using Body Area and Posture Estimation Mashups "},{"subitem_title":"Joint Position Estimation for Body Pressure Images during Sleep: An Extension for CPM Using Body Area and Posture Estimation Mashups ","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：ユビキタスコンピューティングシステム（X）] sleeping posture, body pressure image, joint position estimation, body area estimation, posture classification","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2021-10-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Nagoya University"},{"subitem_text_value":"Graduate School of Informatics, Nagoya University"},{"subitem_text_value":"Institute of Innovation for Future Society, Nagoya University"},{"subitem_text_value":"Graduate School of Informatics, Nagoya University"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Institute of Innovation for Future Society, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Nagoya University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/213302/files/IPSJ-JNL6210007.pdf","label":"IPSJ-JNL6210007.pdf"},"date":[{"dateType":"Available","dateValue":"2023-10-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL6210007.pdf","filesize":[{"value":"2.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"7a3474bf-dec4-41b7-a1b0-ea82e4855b39","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kei, Iwase"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yu, Enokibori"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoto, Yoshida"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kenji, Mase"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kei, Iwase","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yu, Enokibori","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoto, Yoshida","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kenji, Mase","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Estimating sleeping postures with body joint positions is critical for identifying potential sleeping problems and the risk of pressure ulcers. Many methods have estimated postures with body joint positions from camera images for general purposes. However, visual monitoring of sleeping contexts suffers from privacy and occlusion issues due to blankets, pillows, etc. An approach to solve those issues is the use of body pressure images obtained from bed surfaces. We have developed a textile-based sheet-type pressure sensor to avoid such issues. Unfortunately, its use raises other issues that are absent from camera images such as low resolution and noise caused by the wrinkling of sensor sheets. In this paper, we extend DNN-based joint estimation, called Convolutional Pose Machine (CPM), using body area and posture estimation mashups to improve the accuracy of joint estimation. The following are our evaluation results with cross-validation with 16 joints in six sleeping postures of 12 subjects: 7.15cm accuracy in mean absolute error (MAE), which is a 33.7% improvement from the standard CPM, and 8.52cm accuracy in MAE, which is a 37.4% improvement from CPM with camera images in situations using a pillow and a blanket.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.29(2021) (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.29.620\n------------------------------","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Estimating sleeping postures with body joint positions is critical for identifying potential sleeping problems and the risk of pressure ulcers. Many methods have estimated postures with body joint positions from camera images for general purposes. However, visual monitoring of sleeping contexts suffers from privacy and occlusion issues due to blankets, pillows, etc. An approach to solve those issues is the use of body pressure images obtained from bed surfaces. We have developed a textile-based sheet-type pressure sensor to avoid such issues. Unfortunately, its use raises other issues that are absent from camera images such as low resolution and noise caused by the wrinkling of sensor sheets. In this paper, we extend DNN-based joint estimation, called Convolutional Pose Machine (CPM), using body area and posture estimation mashups to improve the accuracy of joint estimation. The following are our evaluation results with cross-validation with 16 joints in six sleeping postures of 12 subjects: 7.15cm accuracy in mean absolute error (MAE), which is a 33.7% improvement from the standard CPM, and 8.52cm accuracy in MAE, which is a 37.4% improvement from CPM with camera images in situations using a pillow and a blanket.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.29(2021) (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.29.620\n------------------------------","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2021-10-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicVolumeNumber":"62"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":213302,"updated":"2025-01-19T17:12:26.004105+00:00","links":{},"created":"2025-01-19T01:14:11.159294+00:00"}