{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00224211","sets":["1164:3865:11134:11135"]},"path":["11135"],"owner":"44499","recid":"224211","title":["オフィス環境における3 次元点群データからの人の作業状態の推論"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-21"},"_buckets":{"deposit":"603be2d1-f899-4ba1-9725-f4e6f4a44cc1"},"_deposit":{"id":"224211","pid":{"type":"depid","value":"224211","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"オフィス環境における3 次元点群データからの人の作業状態の推論","author_link":["590747","590750","590746","590751","590749","590748"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"オフィス環境における3 次元点群データからの人の作業状態の推論"},{"subitem_title":"Classification of human posture from 3D point-cloud data in office environment","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"2D・3Dイメージ","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-02-21","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"芝浦工業大学"},{"subitem_text_value":"芝浦工業大学／株式会社ハイパーデジタルツイン"},{"subitem_text_value":"芝浦工業大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Shibaura Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Shibaura Institute of Technology / Hyper Digital Twins Co., Ltd. (HDT).","subitem_text_language":"en"},{"subitem_text_value":"Shibaura Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/224211/files/IPSJ-MBL23106019.pdf","label":"IPSJ-MBL23106019.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL23106019.pdf","filesize":[{"value":"2.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"35"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"6601cc59-aa47-4b65-84c7-130527924cda","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":"渡邊, 淳平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"新熊, 亮一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ガブリエレ, トロヴァト"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Junpei, Watanabe","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryoichi, Shinkuma","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Gabriele, Trovato","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11851388","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":"2188-8817","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"This report presents an edge computing system that can classify people’s postures in an office using a Light Detection and Ranging (LIDAR) sensor network. The proposed system uses a deep learning model on point data for classification. Several classification models are generated by combining the location and number of LIDARs, feature types, and clustering methods. Each model performs classification for the test data. We evaluate the accuracy of the classification.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This report presents an edge computing system that can classify people’s postures in an office using a Light Detection and Ranging (LIDAR) sensor network. The proposed system uses a deep learning model on point data for classification. Several classification models are generated by combining the location and number of LIDARs, feature types, and clustering methods. Each model performs classification for the test data. We evaluate the accuracy of the classification.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告モバイルコンピューティングと新社会システム（MBL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"19","bibliographicVolumeNumber":"2023-MBL-106"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":224211,"updated":"2025-01-19T13:13:21.198453+00:00","links":{},"created":"2025-01-19T01:23:48.650256+00:00"}