{"created":"2025-01-19T01:16:13.828232+00:00","updated":"2025-01-19T16:09:08.806490+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215462","sets":["6504:10735:10810"]},"path":["10810"],"owner":"44499","recid":"215462","title":["不特定多数の使用者を対象としたsEMGによる多クラスのハンドジェスチャ識別手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"15ad44a2-36b7-473a-b5a8-f8422d752def"},"_deposit":{"id":"215462","pid":{"type":"depid","value":"215462","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"不特定多数の使用者を対象としたsEMGによる多クラスのハンドジェスチャ識別手法","author_link":["554761","554762"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"不特定多数の使用者を対象としたsEMGによる多クラスのハンドジェスチャ識別手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"インタフェース","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","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/215462/files/IPSJ-Z83-5ZB-07.pdf","label":"IPSJ-Z83-5ZB-07.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-29"}],"format":"application/pdf","filename":"IPSJ-Z83-5ZB-07.pdf","filesize":[{"value":"404.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"f54cec13-0d87-4ad1-8abc-30e1643db7bc","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"伊東, 和輝"}],"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":"近年，ハンドジェスチャはハンズフリーで直感的な操作ができる事からxRのインターフェースとして着目されることが多い．本論文で着目するのは，着脱が容易な市販のsEMGセンサを用いて取得したsEMGデータを深層学習手法により分類し，ハンドジェスチャを識別する手法である．これまでに様々なジェスチャの分類手法が検証されているが，学習済み分類器を不特定多数に適応可能とする観点の研究はこれまでに見受けられない．本論文では不特定多数の使用者を対象とし，被験者7人からジェスチャデータを計測後，ケプストラムによる拡張手法を施したデータ(33,264個)で学習を行い，分類器の性能評価を行った．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"268","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"267","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215462,"links":{}}