Responding to human full-body gestures embedded in motion data streams.
| Contribuinte(s) |
Vincs, Kim Nahavandi, Saeid Creighton, Douglas |
|---|---|
| Data(s) |
01/07/2014
|
| Resumo |
This research created a neural-network enabled artificially intelligent performing agent that was able to learn to dance and recognise movement through a rehearsal and performance process with a human dancer. The agent exhibited emergent dance behaviour and successfully engaged in a live, semi-improvised dance performance with the human dancer. |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Deakin University, Faculty of Arts and Education, School of Communication and Creative Arts |
| Relação |
http://dro.deakin.edu.au/eserv/DU:30072910/mccormick-agreement-2014.pdf http://dro.deakin.edu.au/eserv/DU:30072910/mccormick-respondingto-2014A.pdf |
| Direitos |
The Author. All Rights Reserved |
| Palavras-Chave | #dance #digital dance #artificial neural networks #artificially intelligent performing agent #emergent dance behaviour |
| Tipo |
Thesis |
