{"created":"2025-01-19T01:29:32.600728+00:00","updated":"2025-01-19T11:19:09.052888+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230028","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230028","title":["深層学習を用いた低コストハンドジェスチャ家電操作システムの開発"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"4dbc39e5-79a6-41ae-8771-9b93a13fd0a5"},"_deposit":{"id":"230028","pid":{"type":"depid","value":"230028","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習を用いた低コストハンドジェスチャ家電操作システムの開発","author_link":["618861","618860","618862"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習を用いた低コストハンドジェスチャ家電操作システムの開発"}]},"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":"2023-02-16","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":"中京大"},{"subitem_text_value":"中京大"},{"subitem_text_value":"中京大"}]},"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/230028/files/IPSJ-Z85-7S-01.pdf","label":"IPSJ-Z85-7S-01.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-7S-01.pdf","filesize":[{"value":"1.0 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"9fdd0d1f-14e1-4c15-8578-1e017fd73ed0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"伊藤, 優太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡辺, 悠真"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ジョージ, ラシキア"}],"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":"非接触型インタフェースは，近年の新型コロナウイルス蔓延の影響もあり，多くの関心を集めている．中でもハンドジェスチャは手話に代表されるように複雑な意思疎通が可能であり多くの場面で活用されている．ハンドジェスチャに関する機械学習モデルの開発は頻繁に行われているが，これらは認識速度や機器など様々な問題がある。本研究では，深層学習をベースとした画像認識技術を活用し，低コストなリアルタイム家電操作システムの開発を目的とする．本稿では，既存モデルを利用したシステムについて調査し，最もパフォーマンスの良いモデルを採用しシステムに導入した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"468","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"467","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230028,"links":{}}