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Recognition: combining human interaction and a digital performing agent

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Douglas CreightonAuthors Info & Claims

VRIC '14: Proceedings of the 2014 Virtual Reality International Conference

Article No.: 19, Pages 1 - 5

https://doi.org/10.1145/2617841.2620707

Published: 09 April 2014 Publication History

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Abstract

Virtual and augmented environments are often dependent on human intervention for change to occur. However there are times when it would be advantageous for appropriate human-like activity to still occur when there are no humans present. In this paper, we describe the installation art piece Recognition, which uses the movement of human participants to effect change, and the movement of a performing agent when there are no humans present. The agent's Artificial Neural Network has learnt appropriate movements from a dancer and is able to generate suitable movement for the main avatar in the absence of human participants.

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Ali SWu ZLi XSaeed NWang DZhou M(2015)Applying Geometric Function on Sensors 3D Gait Data for Human IdentificationTransactions on Computational Science XXVI - Volume 955010.1007/978-3-662-49247-5_8(125-141)Online publication date: 1-Nov-2015
https://dl.acm.org/doi/10.1007/978-3-662-49247-5_8

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Recognition: combining human interaction and a digital performing agent
1. Applied computing
  1. Arts and humanities

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VRIC '14: Proceedings of the 2014 Virtual Reality International Conference

April 2014

193 pages

ISBN:9781450326261

DOI:10.1145/2617841

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Published: 09 April 2014

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Laval Virtual

VRIC '14: Virtual Reality International Conference - Laval Virtual 2014

April 9 - 11, 2014

Laval, France

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Ali SWu ZLi XSaeed NWang DZhou M(2015)Applying Geometric Function on Sensors 3D Gait Data for Human IdentificationTransactions on Computational Science XXVI - Volume 955010.1007/978-3-662-49247-5_8(125-141)Online publication date: 1-Nov-2015
https://dl.acm.org/doi/10.1007/978-3-662-49247-5_8

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Teaching a Digital Performing Agent: Artificial Neural Network and Hidden Markov Model for recognising and performing dance movement

Plink blink: collaborative music production via blinking eyes

On Creating Multimedia Interfaces for Hybrid Biological-Digital Art Installations

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Teaching a Digital Performing Agent: Artificial Neural Network and Hidden Markov Model for recognising and performing dance movement

Plink blink: collaborative music production via blinking eyes

On Creating Multimedia Interfaces for Hybrid Biological-Digital Art Installations

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