{"created":"2025-01-19T01:44:16.813698+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240213","sets":["6164:6165:6640:11802"]},"path":["11802"],"owner":"44499","recid":"240213","title":["様々な入力波形に対応可能な行動認識モデル"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-06-19"},"_buckets":{"deposit":"51dc4f28-53fe-4794-836e-6faae13edd38"},"_deposit":{"id":"240213","pid":{"type":"depid","value":"240213","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"様々な入力波形に対応可能な行動認識モデル","author_link":["658697"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"様々な入力波形に対応可能な行動認識モデル"},{"subitem_title":"Activity recognition model capable of handling various input waveforms.","subitem_title_language":"en"}]},"item_type_id":"18","publish_date":"2024-06-19","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"福井大学大学院工学研究科"}]},"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/240213/files/IPSJ-DICOMO2024097.pdf","label":"IPSJ-DICOMO2024097.pdf"},"date":[{"dateType":"Available","dateValue":"2026-06-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2024097.pdf","filesize":[{"value":"1.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"7b60265e-5c02-415f-b26f-2522857d3399","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"長谷川, 達人"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"画像認識や自然言語処理分野では超大規模なデータセットで基盤モデルを構築し,様々な下流タスクへの応用が進んでいる.一方,行動認識では超大規模データセットの構築が困難であったり,タスクごとに利用するセンサが異なるため入力データの書式が大きく異なったりと独自の課題があり,基盤モデル実現は容易ではない.本研究では,多様なデータ書式を統一的に扱えるモデル構造を新たに開発し,将来的に複数のデータセットを横断的に用いて事前訓練するための基盤を目指す.複数のセンサを用いた行動認識に対し,入力結合戦略,パラメータ共有戦略,出力結合戦略を提案し,様々な入力を扱えるモデルを実現した.更に,動的なグループ化を提案し,PAMAP2を用いて有効性の評価を行った結果,動的なグループ化により推定精度と適切なパラメータ数を有するモデルを明らかにした.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"723","bibliographic_titles":[{"bibliographic_title":"マルチメディア,分散,協調とモバイルシンポジウム2024論文集"}],"bibliographicPageStart":"716","bibliographicIssueDates":{"bibliographicIssueDate":"2024-06-19","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":240213,"updated":"2025-01-19T08:02:51.141575+00:00","links":{}}