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dc.contributor.authorAristidou, Andreasen
dc.contributor.authorStavrakis, E.en
dc.contributor.authorCharalambous, Panayiotisen
dc.contributor.authorChrysanthou, Yiorgos L.en
dc.contributor.authorHimona, S. L.en
dc.creatorAristidou, Andreasen
dc.creatorStavrakis, E.en
dc.creatorCharalambous, Panayiotisen
dc.creatorChrysanthou, Yiorgos L.en
dc.creatorHimona, S. L.en
dc.date.accessioned2019-11-13T10:38:21Z
dc.date.available2019-11-13T10:38:21Z
dc.date.issued2015
dc.identifier.issn1556-4673
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53581
dc.description.abstractMotion capture (mocap) technology is an efficient method for digitizing art performances, and is becoming increasingly popular in the preservation and dissemination of dance performances. Although technically the captured data can be of very high quality, dancing allows stylistic variations and improvisations that cannot be easily identified. The majority of motion analysis algorithms are based on ad-hoc quantitative metrics, thus do not usually provide insights on style qualities of a performance. In this work, we present a framework based on the principles of Laban Movement Analysis (LMA) that aims to identify style qualities in dance motions. The proposed algorithm uses a feature space that aims to capture the four LMA components (BODY, EFFORT, SHAPE, SPACE), and can be subsequently used for motion comparison and evaluation.We have designed and implemented a prototype virtual reality simulator for teaching folk dances in which users can preview dance segments performed by a 3D avatar and repeat them. The user's movements are captured and compared to the folk dance template motionsen
dc.description.abstractthen, intuitive feedback is provided to the user based on the LMA components. The results demonstrate the effectiveness of our system, opening new horizons for automatic motion and dance evaluation processes. © 2015 ACM.en
dc.sourceJournal on Computing and Cultural Heritageen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84939800274&doi=10.1145%2f2755566&partnerID=40&md5=0a5a6c730014fe5abaee3c990571c63f
dc.subjectQuality controlen
dc.subjectAlgorithmsen
dc.subjectVirtual realityen
dc.subjectThree dimensional computer graphicsen
dc.subjectMovement analysisen
dc.subjectLaban Movement Analysisen
dc.subjectMotion captureen
dc.subjectFolk dancesen
dc.subjectMotion comparisonen
dc.subjectMotion evaluationen
dc.subjectSpace simulatorsen
dc.titleFolk dance evaluation using laban movement analysisen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1145/2755566
dc.description.volume8
dc.description.issue4
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :3</p>en
dc.source.abbreviationJ.Comput.Cult.Heritageen
dc.contributor.orcidChrysanthou, Yiorgos L. [0000-0001-5136-8890]
dc.contributor.orcidCharalambous, Panayiotis [0000-0002-7230-5132]
dc.contributor.orcidAristidou, Andreas [0000-0001-7754-0791]
dc.gnosis.orcid0000-0001-5136-8890
dc.gnosis.orcid0000-0002-7230-5132
dc.gnosis.orcid0000-0001-7754-0791


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