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Responding to human full-body gestures embedded in motion data streams.

McCormick, John 2014, Responding to human full-body gestures embedded in motion data streams., Ph.D. thesis, School of Communication and Creative Arts, Deakin University.

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Title Responding to human full-body gestures embedded in motion data streams.
Author McCormick, John
Institution Deakin University
School School of Communication and Creative Arts
Faculty Faculty of Arts and Education
Degree type Research doctorate
Degree name Ph.D.
Thesis advisor Vincs, Kim
Nahavandi, Saeid
Creighton, Douglas
Date submitted 2014-07
Keyword(s) dance
digital dance
artificial neural networks
artificially intelligent performing agent
emergent dance behaviour
Summary  This research created a neural-network enabled artificially intelligent performing agent that was able to learn to dance and recognise movement through a rehearsal and performance process with a human dancer. The agent exhibited emergent dance behaviour and successfully engaged in a live, semi-improvised dance performance with the human dancer.
Language eng
Field of Research 190403 Dance
Socio Economic Objective 950105 The Performing Arts (incl. Theatre and Dance)
Description of original xxi, 103 pages : illustrations, coloured
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072910

Document type: Thesis
Collections: Higher degree theses (full text)
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Created: Fri, 01 May 2015, 16:07:30 EST by Kate Percival

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.