{"id":214751,"updated":"2025-01-19T16:29:08.566958+00:00","links":{},"created":"2025-01-19T01:15:33.058111+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214751","sets":["6504:10735:10805"]},"path":["10805"],"owner":"44499","recid":"214751","title":["人とロボットの協調作業における、人間の位置予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"1cf40701-9c2b-4f8e-94e0-2d54e6bea93b"},"_deposit":{"id":"214751","pid":{"type":"depid","value":"214751","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"人とロボットの協調作業における、人間の位置予測","author_link":["552100","552101","552103","552102","552104","552105"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"人とロボットの協調作業における、人間の位置予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","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":"岩手大"},{"subitem_text_value":"岩手大"},{"subitem_text_value":"岩手大"},{"subitem_text_value":"岩手大"},{"subitem_text_value":"岩手大"},{"subitem_text_value":"秋田公立美術大"}]},"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/214751/files/IPSJ-Z83-4K-06.pdf","label":"IPSJ-Z83-4K-06.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-4K-06.pdf","filesize":[{"value":"424.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"851ed4bf-a7fd-4fc2-8f60-5aa8e15beca6","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐藤, 裕紀"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"三上, 昌也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"盧, 忻"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"萩原, 義裕"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"綾田, アデルジャン"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"秋田公立, 美術大学"}],"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":"人とロボットが協調して作業を行う際、人間の動作を予測することは重要である。本研究は、AzureKinectからの複数のデータに対し、Random Forestsによる機械学習により人間の位置を予測する試みである。Random ForestsはDecision Treeの発展形であり、沢山の決定木を作成してその多数決をとるアルゴリズムである。このアルゴリズムはオーバーフィッティングや過学習を抑え、多数の入力変数を扱うことができるという特徴がある。従来の手法では限られた行動のみしか予測できなかったが、本手法で拡張性を持たせた位置予測が実現できることを示す。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"288","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"287","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}