{"links":{},"id":219702,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00219702","sets":["6164:6165:6640:11008"]},"path":["11008"],"owner":"44499","recid":"219702","title":["人間行動認識におけるセグメント情報を用いた自己教師あり学習"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-07-06"},"_buckets":{"deposit":"993e10bf-ad3f-40df-8679-5c7fec9c0151"},"_deposit":{"id":"219702","pid":{"type":"depid","value":"219702","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"人間行動認識におけるセグメント情報を用いた自己教師あり学習","author_link":["573295","573296","573294"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"人間行動認識におけるセグメント情報を用いた自己教師あり学習"}]},"item_type_id":"18","publish_date":"2022-07-06","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"},{"subitem_text_value":"福井大学大学院工学研究科"},{"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/219702/files/IPSJ-DICOMO2022128.pdf","label":"IPSJ-DICOMO2022128.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2022128.pdf","filesize":[{"value":"1.4 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":"d81c4b51-e16a-432f-a068-9a718987478f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"近藤, 圭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"武仲, 絋輝"}],"nameIdentifiers":[{}]},{"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":"深層学習を用いたセンサによる行動認識では，頑健な深層学習モデルを作成するために大量のアノテーションされた時系列データが必要となる．ウェアラブルデバイスの普及により大規模なデータセットの収集は可能となったが，それらのデータのアノテーションは依然として課題となっている．この問題に対して，画像認識分野では自己教師あり学習を用いた手法が多く提案されている．しかし，行動認識分野おいては活発に研究が行われていない．そこで本研究ではセンサによる行動認識において，画像認識分野で提案されている自己教師あり学習手法の実装，検証を行う．また，センサデータのセグメントの情報を使った新たな自己教師あり学習手法を提案する．既存の自己教師あり学習と比較した結果，ラベルありデータによる Fine Tuning において，提案手法の有効性が確認された．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"917","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2022論文集"}],"bibliographicPageStart":"912","bibliographicIssueDates":{"bibliographicIssueDate":"2022-07-06","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:19:45.999392+00:00","updated":"2025-01-19T14:48:21.982106+00:00"}