{"links":{},"id":170006,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00170006","sets":["1164:8666:8859:8860"]},"path":["8860"],"owner":"11","recid":"170006","title":["Kinectを用いた手話の数字認識における識別手法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-07-22"},"_buckets":{"deposit":"7b090613-f673-4cd1-bfed-98aa299534d2"},"_deposit":{"id":"170006","pid":{"type":"depid","value":"170006","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Kinectを用いた手話の数字認識における識別手法の検討","author_link":["342332","342330","342333","342328","342329","342331","342334"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Kinectを用いた手話の数字認識における識別手法の検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"言語・文字の活用","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2016-07-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"千葉大学"},{"subitem_text_value":"千葉大学"},{"subitem_text_value":"千葉大学"},{"subitem_text_value":"みずほ情報総研(株)"},{"subitem_text_value":"みずほ情報総研(株)"},{"subitem_text_value":"千葉大学"},{"subitem_text_value":"みずほ情報総研(株)"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Chiba University","subitem_text_language":"en"},{"subitem_text_value":"Chiba University","subitem_text_language":"en"},{"subitem_text_value":"Chiba University","subitem_text_language":"en"},{"subitem_text_value":"Mizuho Information ＆ Research Institute, Inc.","subitem_text_language":"en"},{"subitem_text_value":"Mizuho Information ＆ Research Institute, Inc.","subitem_text_language":"en"},{"subitem_text_value":"Chiba University","subitem_text_language":"en"},{"subitem_text_value":"Mizuho Information ＆ Research Institute, Inc.","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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 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貴弘"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"堀内, 靖雄"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川本, 一彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"下元, 正義"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"眞崎, 浩一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"黒岩, 眞吾"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木, 広一"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12752949","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2432-2431","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では Kinect を用いた手話の数字認識手法について検討する．Kinect によって得られた画像から手領域の輪郭線を抽出し，これを特徴量に用いてパターンマッチングによる識別を行った．認識対象は 1～9，10～90 の 18 種類の数字である．手話者クローズ実験を行ったところ 99.9%の認識率が得られた．また，手話者オープン実験では 1 人評価 3 人テンプレートでクロスバリデーションを行ったところ 89.6%の認識率が得られた．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告アクセシビリティ（AAC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-07-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicVolumeNumber":"2016-AAC-1"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:40:43.348368+00:00","updated":"2025-01-20T08:45:52.958702+00:00"}