Abstract
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 human's 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.
Highlights
In this paper we introduce two artworks, Recognition and Instrumental
Instrumental is a performance between a dancer and performing agent performed at Motion.lab in Melbourne, Australia
As the exhibition ran through the night, there were often times when there were no pedestrians around from which to gather movement information, there was still a lot of vehicular traffic passing the gallery, which was located on a major road
Summary
ABSTRACT - 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 human’s stead. 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. General Terms - Performance, Experimentation, Human Factors. Keywords - Performing Software Agent, Machine Learning, Electronic Art, Interactive Installation
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