{"updated":"2025-01-21T08:42:31.237392+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00108483","sets":["6504:6505:7806"]},"path":["7806"],"owner":"6748","recid":"108483","title":["神経力学モデルによる予測可能性を用いた身体識別"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-03-02"},"_buckets":{"deposit":"c743ec9b-5d13-4a6c-b046-869977503482"},"_deposit":{"id":"108483","pid":{"type":"depid","value":"108483","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"神経力学モデルによる予測可能性を用いた身体識別","author_link":["20602","20603","20601","20599","20600"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"神経力学モデルによる予測可能性を用いた身体識別"}]},"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":"2011-03-02","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":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"}]},"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/108483/files/IPSJ-Z73-1Q-1.pdf"},"date":[{"dateType":"Available","dateValue":"2014-12-17"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z73-1Q-1.pdf","filesize":[{"value":"226.4 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"e6ede32a-299b-4ef1-b7e4-83b0a9a56dd6","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2011 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"信田春満"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"尾形哲也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"奥乃博"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高橋徹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"日下航"}],"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":"認知ロボティクスにおいて身体図式の獲得は重要なテーマの一つである。従来研究では運動指令値と視覚を相関学習させるため，視覚中の身体位置が既知であることが前提であった。対して本手法は「予測(操作) できる部分が身体である」という考えに基づき、運動指令値と視覚の関係を予測学習することによって画像中の他者と自己の身体識別を可能とした。具体的には神経力学モデルであるMTRNN に運動指令値及び自己と他者の身体を含む視覚情報を入力し予測学習させ，予測可能部分を自己身体とした。実験の結果，MTRNN は運動指令値のみから自己身体を他者身体に比べ平均10 倍の精度で予測できることが確認された。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"126","bibliographic_titles":[{"bibliographic_title":"第73回全国大会講演論文集"}],"bibliographicPageStart":"125","bibliographicIssueDates":{"bibliographicIssueDate":"2011-03-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2011"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-18T23:51:04.685667+00:00","id":108483,"links":{}}