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[arra]stre - a Data-driven Ballet

Golz, Paul and Smith-Nunes, G. (2015) [arra]stre - a Data-driven Ballet. Electronic Visualisation and the Arts. pp. 90-91.

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Abstract

[arra]stre is a data-driven ballet performance that makes extensive use of visualisation with data generated from the choreography and dancers. Whilst visualisations of this kind are not uncommon in performance dance, what marks this work out is that the visualisation and choreography were treated as equal actors in the exploration of the theme rather than the visualisation either becoming the dominant character in the performance (with the dancers simply providing a trigger) or being completely passive - an echo of the movement.

Item Type: Article
Additional Information:

Paper presented at Electronic Visualisation and the Arts (EVA 2015) at London, UK, on 7th - 9th July 2015

Uncontrolled Keywords: data-driven ballet, performance dance, visualisation, choreography, computer science
Subjects: N Fine Arts > NX Arts in general
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Departments > Institute of Sport and Exercise Science
Related URLs:
Depositing User: Paul Golz
Date Deposited: 20 Nov 2015 13:44
Last Modified: 20 Nov 2015 13:44
URI: https://eprints.worc.ac.uk/id/eprint/4043

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