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Learning to replace a human: a virtual performing agent

McCormick, John, Hutchison, Steph, Nash, Adam, Vincs, Kim, Nahavandi, Saeid and Creighton, Douglas 2015, Learning to replace a human: a virtual performing agent, International journal of virtual reality, vol. 15, no. 1, pp. 18-22.

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Title Learning to replace a human: a virtual performing agent
Author(s) McCormick, JohnORCID iD for McCormick, John orcid.org/0000-0002-5347-0378
Hutchison, Steph
Nash, Adam
Vincs, Kim
Nahavandi, Saeid
Creighton, Douglas
Journal name International journal of virtual reality
Volume number 15
Issue number 1
Start page 18
End page 22
Total pages 5
Publisher IPI Press
Place of publication Plouzane, France
Publication date 2015-01-01
ISSN 1081-1451
Keyword(s) performing software agent
machine learning
electronic art
interactive installation
Summary In this paper we describe two artworks, Recognition, an outdoor interactive installation and Instrumental a live dance performance. In both works a performing agent has learnt sequences of movement from a dancer and uses these to stand in for a human performer. The agent uses an Artificial Neural Network to learn to dance from the human dancer and can perform in the humans stead. In Recognition the agent’s movement is used when there are no humans present in order to keep continuity of theinstallation. In Instrumental the agent becomes a performing partner of a live human dancer, able to recognize the dancers movement and synthesize movement sequences based on the human dancer’s movements.
Language eng
Field of Research 090602 Control Systems, Robotics and Automation
190404 Drama, Theatre and Performance Studies
0801 Artificial Intelligence And Image Processing
Socio Economic Objective 0 Not Applicable
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, IPI Press
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089957

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