{"updated":"2025-01-20T02:48:12.527542+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00185834","sets":["581:9322:9324"]},"path":["9324"],"owner":"11","recid":"185834","title":["Development of a Visualization Method for Motion-characteristic Distribution of Japanese Folk Dances - A Case Study of the Bon Odori Dance"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-02-15"},"_buckets":{"deposit":"b0be4007-5829-4e37-a3b0-71808e302ac1"},"_deposit":{"id":"185834","pid":{"type":"depid","value":"185834","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Development of a Visualization Method for Motion-characteristic Distribution of Japanese Folk Dances - A Case Study of the Bon Odori Dance","author_link":["414503","414504","414497","414502","414507","414508","414499","414501","414498","414506","414505","414500"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Development of a Visualization Method for Motion-characteristic Distribution of Japanese Folk Dances - A Case Study of the Bon Odori Dance"},{"subitem_title":"Development of a Visualization Method for Motion-characteristic Distribution of Japanese Folk Dances - A Case Study of the Bon Odori Dance","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：人文科学とコンピュータ] Japanese folk dance, motion characteristic, motion capture, visualization","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2018-02-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering Science, Akita University"},{"subitem_text_value":"Digital Art Factory, Warabi-za Co., Ltd."},{"subitem_text_value":"Collage of Information and Systems, Muroran Institute of Technology"},{"subitem_text_value":"Faculty of Education and Human Studies, Akita University"},{"subitem_text_value":"Graduate School of Engineering Science, Akita University"},{"subitem_text_value":"Tohoku University of Community Service and Science"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering Science, Akita University","subitem_text_language":"en"},{"subitem_text_value":"Digital Art Factory, Warabi-za Co., Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Collage of Information and Systems, Muroran Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Education and Human Studies, Akita University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering Science, Akita University","subitem_text_language":"en"},{"subitem_text_value":"Tohoku University of Community Service and Science","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/185834/files/IPSJ-JNL5902013.pdf","label":"IPSJ-JNL5902013.pdf"},"date":[{"dateType":"Available","dateValue":"2020-02-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5902013.pdf","filesize":[{"value":"2.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"87d4e073-7131-4045-8436-2c58313dd70e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takeshi, Miura"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takaaki, Kaiga"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takeshi, Shibata"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Madoka, Uemura"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Katsubumi, Tajima"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hideo, Tamamoto"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takeshi, Miura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takaaki, Kaiga","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takeshi, Shibata","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Madoka, Uemura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Katsubumi, Tajima","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hideo, Tamamoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"This study proposes a method to systematically visualize the motion-characteristic distribution of Japanese folk dances passed down in a certain area. This is accomplished by adopting an approach that involves analyzing motion-capture data collected from the dances. The visualization process in the proposed method consists of three stages. The first stage is the modeling of the relationship among motion-capture data, folk dances, and the settlements in which folk dances have been passed down. This relationship is modeled as a hierarchical-structure model. The second stage is the extraction of motion characteristics from motion-capture data streams. The motion characteristics of each data stream are summarized as a fourteen-dimensional feature vector. The third stage is the visualization of the motion-characteristic distribution of the dances investigated. Each of the dances is mapped on a two-dimensional scatter plot in accordance with the feature quantities obtained in the second stage. Information on the hierarchical-structure model constructed in the first stage is also displayed. The analysis results for the distribution of Bon Odori dances showed that the proposed method could have almost completely visualized the motion-characteristic distribution of sample folk dances, while also demonstrating consistency with the knowledge of the dances acquired in the previous studies.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.26(2018) (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.26.74\n------------------------------","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This study proposes a method to systematically visualize the motion-characteristic distribution of Japanese folk dances passed down in a certain area. This is accomplished by adopting an approach that involves analyzing motion-capture data collected from the dances. The visualization process in the proposed method consists of three stages. The first stage is the modeling of the relationship among motion-capture data, folk dances, and the settlements in which folk dances have been passed down. This relationship is modeled as a hierarchical-structure model. The second stage is the extraction of motion characteristics from motion-capture data streams. The motion characteristics of each data stream are summarized as a fourteen-dimensional feature vector. The third stage is the visualization of the motion-characteristic distribution of the dances investigated. Each of the dances is mapped on a two-dimensional scatter plot in accordance with the feature quantities obtained in the second stage. Information on the hierarchical-structure model constructed in the first stage is also displayed. The analysis results for the distribution of Bon Odori dances showed that the proposed method could have almost completely visualized the motion-characteristic distribution of sample folk dances, while also demonstrating consistency with the knowledge of the dances acquired in the previous studies.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.26(2018) (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.26.74\n------------------------------","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2018-02-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"59"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:52:54.359458+00:00","id":185834,"links":{}}