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Learning to replace a human: a virtual performing agent
journal contribution
posted on 2015-01-01, 00:00 authored by John Mccormick, Steph Hutchison, A Nash, Kim Vincs, Saeid Nahavandi, Douglas CreightonDouglas CreightonIn 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 the
installation. 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.
installation. 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.