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Digitisation of modern and traditional dances using motion capture technology

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In this talk, I will discuss recent results (and some ongoing work) obtained in the Virtual Reality Lab (VRL), University of Cyprus. In VRL , we pave the way for documenting folk and modern dances, aiming to create a point of reference digital dance library, where the users will have free access to dance mocap data, video data, photographs, text and metadata; currently, only 2D video recordings are used to document traditional dance performances, having although restrictions (mainly due to the character occlusions) by the limited capabilities of the 2D cameras. To ensure folk dances are sufficiently well documented, recorded and archived, apart from text, drawings, choreographic notation and video, it can be tremendously useful to capture the human motion itself, directly from expert dancers. This does not only safeguard the survival of the complete motion objectively, it also allows the reuse and study or teaching the, usually structured or complex, motion. Apart from the goal of preserving this intangible cultural heritage by digitizing it, we are interested in increasing the awareness of the local community to its dance heritage. To achieve this, a 3D video game for children is developed to teach these folk dances to the younger generations. In addition, an introduction to the ongoing research for motion synthesis, motion classification and motion comparison will be discussed. The language of the human body is complex and it is not possible to have a satisfying simulation if rough simplifications in motion notation are used and motion has not been properly indexed from the outset. The Laban Movement Analysis (LMA) system (a system of analysing human movements mainly used for choreography) offers a simple as possible but complex as necessary description of human movements and will be used for the abovementioned reasons. Subsequently, we aim to find the potential similarities between dances from various regions, expecting to create a dance genealogy of EU dances. In that manner, we will create the first digital ethnochoreology (dance ethnology). Acknowledgements: This talk is part of the project DIDAKTOR /0311/73, which is co-financed by the European Regional Development Fund and the Republic of Cyprus through the Research Promotion Foundation.

Bio: Dr Andreas Aristidou is a post-doc researcher associated with the Department of Computer Science, University of Cyprus and an affiliated researcher at the Department of Multimedia and Graphic Arts, Cyprus University of Technology. Andreas did his PhD in the Signal Processing Group, CUED

This talk is part of the Signal Processing and Communications Lab Seminars series.

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