Learning to Dance With a Human

Symposium:

• ISEA2013: 19th International Symposium on Electronic Art

• Mixed Reality Transformations: shifting relationships between movement, embodiment, somatics and image

• Learning to Dance With a Human

• John McCormick
• Professor Kim Vincs
• Saeid Nahavandi
• Douglas Creighton

Venue(s):

• The University of Sydney, Sydney, Australia

• Panel: Mixed Reality Transformations: shifting relationships between movement, embodiment, somatics and image

  Keywords: Software Agent, Artificial Neural Network, Dance and Technology, Distributed Cognition, Machine Learning, Interactive Performance

  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.

  Full text (PDF) p. 452-456

Category:

• Panel