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Responding to human full-body gestures embedded in motion data streams.

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thesis
posted on 2014-07-01, 00:00 authored by J McCormick
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.

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Pagination

xxi, 103 pages : illustrations, coloured

Open access

  • Yes

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Research doctorate

Degree name

Ph.D.

Copyright notice

The Author. All Rights Reserved

Editor/Contributor(s)

K Vincs, S Nahavandi, D Creighton

Faculty

Faculty of Arts and Education

School

School of Communication and Creative Arts

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