{"created":"2025-01-19T01:31:09.166249+00:00","updated":"2025-01-19T10:54:12.839239+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00231031","sets":["6504:11436:11444"]},"path":["11444"],"owner":"44499","recid":"231031","title":["多変量関数主成分分析とクラスタリングを用いた手話学習支援システムの構築"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"24d5bddc-4e1a-4078-9de6-665ebf1ff387"},"_deposit":{"id":"231031","pid":{"type":"depid","value":"231031","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"多変量関数主成分分析とクラスタリングを用いた手話学習支援システムの構築","author_link":["623064","623061","623060","623063","623062"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"多変量関数主成分分析とクラスタリングを用いた手話学習支援システムの構築"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","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":"静岡大"},{"subitem_text_value":"静岡大"},{"subitem_text_value":"静岡大"},{"subitem_text_value":"東北大"},{"subitem_text_value":"静岡大"}]},"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/231031/files/IPSJ-Z85-5ZM-02.pdf","label":"IPSJ-Z85-5ZM-02.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-5ZM-02.pdf","filesize":[{"value":"541.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"8976d345-ed24-418b-93c6-a87249889aa8","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":"高須, 優"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西田, 昌史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"澤木, 大輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"荒木, 由布子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西村, 雅史"}],"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":"従来、独学での手話の学習は、本やDVDを用いて手話を真似て行う。しかし、真似た手話が正しいのかを確認できず、奥行き方向の動きも確認できない問題がある。そこで、本研究ではKinectを用いて手や骨格の位置を抽出し、どの部位の動きがどれくらいずれているか、お手本との動きの違いなどを多変量関数主成分分析により分析し提示する。また、どの単語を学習すべきかの基準が明確ではないため、多変量関数主成分分析により動きの複雑さを定量的に分析し難易度の低いものから学習する、さらに凸クラスタリングを用いて動きの似た単語をクラスタリングすることで、動きが似た単語から学習することで効率的に手話を学習できるシステムを提案する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1000","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"999","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":231031,"links":{}}