Learning to dance with a human

McCormick, John, Vincs, Kim, Nahavandi, Saeid and Creighton, Douglas 2013, Learning to dance with a human, in ISEA 2013 : Resistance is futile : Proceedings of the 2013 International Symposium on Electronic Arts, ISEA International Australian Network for Art & Technology, University of Sydney, Sydney, N.S.W..

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Title Learning to dance with a human
Author(s) McCormick, John
Vincs, Kim
Nahavandi, Saeid
Creighton, Douglas
Conference name International Symposium of Electronic Art (19th : 2013 : Sydney, N.S.W.)
Conference location Sydney, N.S.W.
Conference dates 7 - 16 Jun. 2013
Title of proceedings ISEA 2013 : Resistance is futile : Proceedings of the 2013 International Symposium on Electronic Arts
Editor(s) Cleland, K.
Fisher, L.
Harley, R.
Publication date 2013
Conference series International Symposium of Electronic Art
Total pages 5
Publisher ISEA International Australian Network for Art & Technology, University of Sydney
Place of publication Sydney, N.S.W.
Keyword(s) software agent
artificial neural network
dance and technology
distributed cognition
machine learning
interactive performance
Summary Artificial neural networks are an effective means of allowing software agents to learn about and filter aspects of their domain. In this paper we explore the use of artificial neural networks in the context of dance performance. The software agent’s neural network is presented with movement in the form of motion capture streams, both pre-recorded and live. Learning can be viewed as analogous to rehearsal, recognition and response to performance. The interrelationship between the software agent and dancer throughout the process is considered as a potential means of allowing the agent to function beyond its limited self-contained capability.
Language eng
Field of Research 190403 Dance
080108 Neural, Evolutionary and Fuzzy Computation
090602 Control Systems, Robotics and Automation
Socio Economic Objective 950105 The Performing Arts (incl. Theatre and Dance) and 970110
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
HERDC collection year 2013
Copyright notice ©2013, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30059032

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Created: Wed, 18 Dec 2013, 07:38:51 EST by Kim Vincs

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