Dance Posture Analysis Based on Virtual Reality Technology and Its Application in Dance Teaching
This paper proposes a dance posture analysis method based on eigenvector matching, and sets up a motion capture system that calculates motion parameters by similarity matching of characteristic planes. Considering the complexity of dance learning, the proposed system was adopted to acquire various p...
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Veröffentlicht in: | Educational sciences : theory & practice 2018-10, Vol.18 (5), p.1224-1235 |
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description | This paper proposes a dance posture analysis method based on eigenvector matching, and sets up a motion capture system that calculates motion parameters by similarity matching of characteristic planes. Considering the complexity of dance learning, the proposed system was adopted to acquire various postures of dance learners, and contrast their dance postures against the standard ones. The proposed analysis method was verified through a contrastive experiment, shedding new light on the innovation of digital dance teaching. |
doi_str_mv | 10.12738/estp.2018.5.022 |
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Considering the complexity of dance learning, the proposed system was adopted to acquire various postures of dance learners, and contrast their dance postures against the standard ones. The proposed analysis method was verified through a contrastive experiment, shedding new light on the innovation of digital dance teaching.</description><identifier>ISSN: 2148-7561</identifier><identifier>ISSN: 1303-0485</identifier><identifier>EISSN: 2148-7561</identifier><identifier>DOI: 10.12738/estp.2018.5.022</identifier><language>eng</language><publisher>Istanbul: Codon Publications</publisher><subject>Algorithms ; Computer peripherals ; Computer Simulation ; Dance ; Data Analysis ; Educational Technology ; Efficiency ; Environment ; Eğitim Bilimleri ; Human body ; Interactive learning ; Kişisel Gelişim ; Least Squares Statistics ; Mathematics ; Motion ; Motion capture ; Posture ; Principal components analysis ; Puppetry ; Sampling ; Sensors ; Virtual reality ; Vision</subject><ispartof>Educational sciences : theory & practice, 2018-10, Vol.18 (5), p.1224-1235</ispartof><rights>Copyright EDAM (Educational Consultancy Ltd.) 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Lyu, Yin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c256t-cdd0fd6f9300ab87da29da7a3a610eb9f961b5e7978021a0b309b220819ba8b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algorithms</topic><topic>Computer peripherals</topic><topic>Computer Simulation</topic><topic>Dance</topic><topic>Data Analysis</topic><topic>Educational Technology</topic><topic>Efficiency</topic><topic>Environment</topic><topic>Eğitim Bilimleri</topic><topic>Human body</topic><topic>Interactive learning</topic><topic>Kişisel Gelişim</topic><topic>Least Squares Statistics</topic><topic>Mathematics</topic><topic>Motion</topic><topic>Motion capture</topic><topic>Posture</topic><topic>Principal components analysis</topic><topic>Puppetry</topic><topic>Sampling</topic><topic>Sensors</topic><topic>Virtual reality</topic><topic>Vision</topic><toplevel>online_resources</toplevel><creatorcontrib>Yang, Xue</creatorcontrib><creatorcontrib>Lyu, Yin</creatorcontrib><collection>CrossRef</collection><collection>Idealonline online kütüphane - Journals</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central Korea</collection><collection>Turkey Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Education Database</collection><collection>Psychology Database</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Educational sciences : theory & practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Xue</au><au>Lyu, Yin</au><au>Zych,Izabela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dance Posture Analysis Based on Virtual Reality Technology and Its Application in Dance Teaching</atitle><jtitle>Educational sciences : theory & practice</jtitle><date>2018-10-01</date><risdate>2018</risdate><volume>18</volume><issue>5</issue><spage>1224</spage><epage>1235</epage><pages>1224-1235</pages><issn>2148-7561</issn><issn>1303-0485</issn><eissn>2148-7561</eissn><abstract>This paper proposes a dance posture analysis method based on eigenvector matching, and sets up a motion capture system that calculates motion parameters by similarity matching of characteristic planes. Considering the complexity of dance learning, the proposed system was adopted to acquire various postures of dance learners, and contrast their dance postures against the standard ones. The proposed analysis method was verified through a contrastive experiment, shedding new light on the innovation of digital dance teaching.</abstract><cop>Istanbul</cop><pub>Codon Publications</pub><doi>10.12738/estp.2018.5.022</doi><tpages>12</tpages></addata></record> |
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subjects | Algorithms Computer peripherals Computer Simulation Dance Data Analysis Educational Technology Efficiency Environment Eğitim Bilimleri Human body Interactive learning Kişisel Gelişim Least Squares Statistics Mathematics Motion Motion capture Posture Principal components analysis Puppetry Sampling Sensors Virtual reality Vision |
title | Dance Posture Analysis Based on Virtual Reality Technology and Its Application in Dance Teaching |
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