dc.contributor.author | Aristidou, Andreas | en |
dc.contributor.author | Chrysanthou, Yiorgos L. | en |
dc.creator | Aristidou, Andreas | en |
dc.creator | Chrysanthou, Yiorgos L. | en |
dc.date.accessioned | 2019-11-13T10:38:21Z | |
dc.date.available | 2019-11-13T10:38:21Z | |
dc.date.issued | 2013 | |
dc.identifier.isbn | 978-1-4503-2629-2 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53578 | |
dc.description.abstract | Recently, there has been an increasing use of pre-recorded motion capture data, making motion indexing and classification essential for animating virtual characters and synthesising different actions. In this paper, we use a variety of features that encode characteristics of motion using the Body, Effort, Shape and Space components of Laban Movement Analysis (LMA), to explore the motion quality from acted dance performances. Using Principal Component Analysis (PCA), we evaluate the importance of the proposed features - with regards to their ability to separate the performer's emotional state - indicating the weight of each feature in motion classification. PCA has been also used for dimensionality reduction, laying the foundation for the qualitative and quantitative classification of movements based on their LMA characteristics. Early results show that the proposed features provide a representative space for indexing and classification of dance movements with regards to the emotion, which can be used for synthesis and composition purposes. Copyright © ACM. | en |
dc.source | SIGGRAPH Asia 2013 Technical Briefs, SA 2013 | en |
dc.source | SIGGRAPH Asia 2013 Technical Briefs, SA 2013 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890924296&doi=10.1145%2f2542355.2542381&partnerID=40&md5=5d003040cbde5c3d2cb878f13d337d03 | |
dc.subject | Indexing (of information) | en |
dc.subject | Motion capture data | en |
dc.subject | Movement analysis | en |
dc.subject | Emotional state | en |
dc.subject | Laban Movement Analysis | en |
dc.subject | Virtual character | en |
dc.subject | Dimensionality reduction | en |
dc.subject | Emotional states | en |
dc.subject | Interactive computer graphics | en |
dc.subject | Motion capture | en |
dc.subject | Motion classification | en |
dc.subject | Motion indexing | en |
dc.subject | Principal component analysis | en |
dc.subject | Quantitative classifications | en |
dc.title | Motion indexing of different emotional states using LMA components | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1145/2542355.2542381 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: ACM Special Interest Group on Computer-Human | en |
dc.description.notes | Interaction (SIGCHI) | en |
dc.description.notes | ACM Special Interest Group on Computer Graphics | en |
dc.description.notes | and Interactive Techniques (SIGGRAPH) | en |
dc.description.notes | Conference code: 101663 | en |
dc.description.notes | Cited By :4</p> | en |
dc.contributor.orcid | Chrysanthou, Yiorgos L. [0000-0001-5136-8890] | |
dc.contributor.orcid | Aristidou, Andreas [0000-0001-7754-0791] | |
dc.gnosis.orcid | 0000-0001-5136-8890 | |
dc.gnosis.orcid | 0000-0001-7754-0791 | |