{"id":236985,"created":"2025-01-19T01:39:21.246358+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236985","sets":["6504:11678:11684"]},"path":["11684"],"owner":"44499","recid":"236985","title":["MoCapデータの特徴を単語ベクトルに変換する手法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"575a9f6f-e1ad-4e5e-8ba4-71a63072418a"},"_deposit":{"id":"236985","pid":{"type":"depid","value":"236985","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"MoCapデータの特徴を単語ベクトルに変換する手法の検討","author_link":["647981","647982"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"MoCapデータの特徴を単語ベクトルに変換する手法の検討"}]},"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":"2024-03-01","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":"茨城大"},{"subitem_text_value":"茨城大"}]},"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/236985/files/IPSJ-Z86-2ZK-06.pdf","label":"IPSJ-Z86-2ZK-06.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-04"}],"format":"application/pdf","filename":"IPSJ-Z86-2ZK-06.pdf","filesize":[{"value":"413.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"aa723c8a-dd19-4ca9-9de2-fe77afaba3e9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"荻野, 時生"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"柴田, 傑"}],"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":"モーションデータ（MoCapデータ）からその動きを説明する自然言語が生成出来れば，動きの特徴の比較や学習支援に応用できると考えられる．本研究では，動きの自然言語化の基礎技術として，MoCapデータを動作名の分散表現（単語ベクトル）に変換する手法について提案する．提案手法では，MoCapデータから抽出された特徴を単語ベクトルに変換する重みを推定し，MoCapデータを変換する．実験では，12種類の動作のMoCapデータを単語ベクトルに変換した結果，正解率は80％以上であった．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"756","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"755","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T09:02:38.187587+00:00","links":{}}