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
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
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