{"created":"2025-01-19T01:37:47.795572+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235988","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235988","title":["深層学習による人の動作予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"34aa6cf4-846c-4970-b3b3-e7ba65dbf686"},"_deposit":{"id":"235988","pid":{"type":"depid","value":"235988","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習による人の動作予測","author_link":["644924","644925"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習による人の動作予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","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":"日本工大"},{"subitem_text_value":"日本工大"}]},"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/235988/files/IPSJ-Z86-4Q-02.pdf","label":"IPSJ-Z86-4Q-02.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-4Q-02.pdf","filesize":[{"value":"365.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"e5867dbf-0485-418d-9738-4f112c1a69f6","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":"岩田, 雄介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田村, 仁"}],"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":"本研究では,深層学習を活用して人の動作を予測する.深層学習の進展にもかかわらず,これを用いたロボット制御には複数の問題が発生している.主な制約は,カメラの遅延,分類器の処理速度,および小型PCでのみ搭載可能性である.これらの問題への対処として,未来の動きを0.2~0.5秒程度予測する新しい手法が必要である.具体的なアプローチとして,じゃんけんの動作予測に焦点を当て,小型PCを使用し,Mediapipeを活用して手の関節座標を取得する.そして,取得したデータを深層学習によって処理し,未来の手の形をリアルタイムで予測する実験を実施した.この実験によって得られた成果や詳細については,発表の際に詳しく説明する.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"290","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"289","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235988,"updated":"2025-01-19T09:26:21.468900+00:00","links":{}}