Learning to Dance With a Human
Symposium:
- ISEA2013: 19th International Symposium on Electronic Art
- More presentations from ISEA2013:
Session Title:
- Mixed Reality Transformations: shifting relationships between movement, embodiment, somatics and image
Presentation Title:
- Learning to Dance With a Human
Presenter(s):
Venue(s):
Abstract:
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