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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Educational sciences : theory & practice 2018-10, Vol.18 (5), p.1224-1235
Hauptverfasser: Yang, Xue, Lyu, Yin
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1235
container_issue 5
container_start_page 1224
container_title Educational sciences : theory & practice
container_volume 18
creator Yang, Xue
Lyu, Yin
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
format Article
fullrecord <record><control><sourceid>proquest_ideal</sourceid><recordid>TN_cdi_proquest_journals_2169570025</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2169570025</sourcerecordid><originalsourceid>FETCH-LOGICAL-c256t-cdd0fd6f9300ab87da29da7a3a610eb9f961b5e7978021a0b309b220819ba8b03</originalsourceid><addsrcrecordid>eNpNkD1PwzAURS0EEqWwM1piYEp4dj49hrZApUogVFjNS-y0roIT4mTIvyclSDDdOxxd6R5Crhn4jCdBeqdd1_gcWOpHPnB-QmachamXRDE7_dfPyYVzB4A4FCGfkY8l2kLTl9p1fatpZrEanHH0Hp1WtLb03bRdjxV91ViZbqBbXextXdW7gaJVdN05mjVNZQrszIgbS6fFrcZib-zukpyVWDl99Ztz8vaw2i6evM3z43qRbbyCR3HnFUpBqeJSBACYp4lCLhQmGGDMQOeiFDHLI52IJAXOEPIARM45pEzkmOYQzMnNtNu09Vc_ypCHum_HO05yFosoAeDRSN1OlFHjn9pWxuo_cL1cZRuZiiBMRhImsmhr51pdyqY1n9gOkoH8MS6PxuXRuIzkaDz4BjjldEU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2169570025</pqid></control><display><type>article</type><title>Dance Posture Analysis Based on Virtual Reality Technology and Its Application in Dance Teaching</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Yang, Xue ; Lyu, Yin</creator><contributor>Zych,Izabela</contributor><creatorcontrib>Yang, Xue ; Lyu, Yin ; Zych,Izabela</creatorcontrib><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.</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 &amp; practice, 2018-10, Vol.18 (5), p.1224-1235</ispartof><rights>Copyright EDAM (Educational Consultancy Ltd.) Oct 2018</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids></links><search><contributor>Zych,Izabela</contributor><creatorcontrib>Yang, Xue</creatorcontrib><creatorcontrib>Lyu, Yin</creatorcontrib><title>Dance Posture Analysis Based on Virtual Reality Technology and Its Application in Dance Teaching</title><title>Educational sciences : theory &amp; practice</title><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.</description><subject>Algorithms</subject><subject>Computer peripherals</subject><subject>Computer Simulation</subject><subject>Dance</subject><subject>Data Analysis</subject><subject>Educational Technology</subject><subject>Efficiency</subject><subject>Environment</subject><subject>Eğitim Bilimleri</subject><subject>Human body</subject><subject>Interactive learning</subject><subject>Kişisel Gelişim</subject><subject>Least Squares Statistics</subject><subject>Mathematics</subject><subject>Motion</subject><subject>Motion capture</subject><subject>Posture</subject><subject>Principal components analysis</subject><subject>Puppetry</subject><subject>Sampling</subject><subject>Sensors</subject><subject>Virtual reality</subject><subject>Vision</subject><issn>2148-7561</issn><issn>1303-0485</issn><issn>2148-7561</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpNkD1PwzAURS0EEqWwM1piYEp4dj49hrZApUogVFjNS-y0roIT4mTIvyclSDDdOxxd6R5Crhn4jCdBeqdd1_gcWOpHPnB-QmachamXRDE7_dfPyYVzB4A4FCGfkY8l2kLTl9p1fatpZrEanHH0Hp1WtLb03bRdjxV91ViZbqBbXextXdW7gaJVdN05mjVNZQrszIgbS6fFrcZib-zukpyVWDl99Ztz8vaw2i6evM3z43qRbbyCR3HnFUpBqeJSBACYp4lCLhQmGGDMQOeiFDHLI52IJAXOEPIARM45pEzkmOYQzMnNtNu09Vc_ypCHum_HO05yFosoAeDRSN1OlFHjn9pWxuo_cL1cZRuZiiBMRhImsmhr51pdyqY1n9gOkoH8MS6PxuXRuIzkaDz4BjjldEU</recordid><startdate>20181001</startdate><enddate>20181001</enddate><creator>Yang, Xue</creator><creator>Lyu, Yin</creator><general>Codon Publications</general><general>EDAM (Educational Consultancy Ltd.)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IEBAR</scope><scope>0-V</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7XB</scope><scope>88B</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>EDSIH</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>M0P</scope><scope>M2M</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>20181001</creationdate><title>Dance Posture Analysis Based on Virtual Reality Technology and Its Application in Dance Teaching</title><author>Yang, Xue ; 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 &amp; 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 &amp; 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>
fulltext fulltext
identifier ISSN: 2148-7561
ispartof Educational sciences : theory & practice, 2018-10, Vol.18 (5), p.1224-1235
issn 2148-7561
1303-0485
2148-7561
language eng
recordid cdi_proquest_journals_2169570025
source EZB-FREE-00999 freely available EZB journals
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T14%3A47%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ideal&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Dance%20Posture%20Analysis%20Based%20on%20Virtual%20Reality%20Technology%20and%20Its%20Application%20in%20Dance%20Teaching&rft.jtitle=Educational%20sciences%20:%20theory%20&%20practice&rft.au=Yang,%20Xue&rft.date=2018-10-01&rft.volume=18&rft.issue=5&rft.spage=1224&rft.epage=1235&rft.pages=1224-1235&rft.issn=2148-7561&rft.eissn=2148-7561&rft_id=info:doi/10.12738/estp.2018.5.022&rft_dat=%3Cproquest_ideal%3E2169570025%3C/proquest_ideal%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2169570025&rft_id=info:pmid/&rfr_iscdi=true