{"updated":"2025-01-20T18:48:17.768826+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00141771","sets":["1164:4961:7858:8251"]},"path":["8251"],"owner":"11","recid":"141771","title":["Perfumeのダンスはなぜ難しいのか？―多変量ヒルベルトーファン変換によるモーション解析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-05-09"},"_buckets":{"deposit":"589a7bcf-84d3-4678-8e70-96cec495ca55"},"_deposit":{"id":"141771","pid":{"type":"depid","value":"141771","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Perfumeのダンスはなぜ難しいのか？―多変量ヒルベルトーファン変換によるモーション解析","author_link":["208139","208144","208141","208143","208142","208140"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Perfumeのダンスはなぜ難しいのか？―多変量ヒルベルトーファン変換によるモーション解析"},{"subitem_title":"Dance Motion Analyses of Perfume using Hilbert-Huang Transform","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2015-05-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波大学"},{"subitem_text_value":"筑波大学"},{"subitem_text_value":"会津大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"University of Tsukuba.","subitem_text_language":"en"},{"subitem_text_value":"University of Tsukuba.","subitem_text_language":"en"},{"subitem_text_value":"Kyoto University","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":11,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/141771/files/IPSJ-CH15106001.pdf"},"date":[{"dateType":"Available","dateValue":"2017-05-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CH15106001.pdf","filesize":[{"value":"597.5 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"24"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"ef49d21f-7522-4be8-ba54-109fc5968b65","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"蔡, 東生"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"董, 然"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"浅井, 信吉"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Dongshen, Cai","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Dong, Ran","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobushoshi, Asai","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN1010060X","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":"2188-8957","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ヒルベルトーファン変換 （Hilbert-Huang Transform:HHT） は，経験的モード分解により，信号を複数の固有モード関数に分解し，ヒルベルト変換をかけ，時間周波数特性を分析する．時間周波数特性への鋭敏性は，フーリエ変換，ウエーブレット変換より遥かに鋭敏で，本報告では，多変量 HHT を用い，パヒューム，能楽，文楽などの動作を，ワルツ，ヒップホップ，サルサなどの踊りと比較する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"A new method for analyzing a set of multivariate nonlinear and non-stationary motion data has been developed. The key part of the method is the “empirical mode decomposition (EMD)” method with which any complicated multivariate motion data set can be decomposed into a finite multivariate “intrinsic mode functions (IMF)” that can Hilbert-transform later[Huang and Shen, 2005]. This motion decomposition method is adaptive and sensitive to noises. Since the motion decomposition is based on the local characteristic time scale of the multivariate joint data, it is applicable to nonlinear and non-stationary motion processes. Applying the Hilbert transform to the multivariate joint “intrinsic mode functions (IMF)” yield a set of instantaneous frequencies as functions of time that give imbedded structures of decomposed motions. The results are an energy-frequency-time distribution of joint motions, designated as the Hilbert spectrum. Using all three dancers' noisy motion capture data to decompose the motion, extremely complicate motions by the nonlinear and non-stationary effects, for example, dance turning motions, are clearly decomposed in the energy-frequency-time distribution.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"3","bibliographic_titles":[{"bibliographic_title":"研究報告人文科学とコンピュータ（CH）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2015-05-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2015-CH-106"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:19:18.702345+00:00","id":141771,"links":{}}