The acquisition and use of interaction behaviour models
Johnson, N.
Galata, A.
Hogg, D.
Sch. of Comput. Studies, Leeds Univ.;
This paper appears in: Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Publication Date: 23-25 Jun 1998
On page(s): 866-871
Meeting Date: 06/23/1998 - 06/25/1998
Location: Santa Barbara, CA, USA
ISSN: 1063-6919
ISBN: 0-8186-8497-6
References Cited: 13
INSPEC Accession Number: 5985940
Digital Object Identifier: 10.1109/CVPR.1998.698706
Current Version Published: 2002-08-06
Abstract
Providing a machine with the ability to learn and use models of
natural interaction is a challenging and largely unaddressed problem. A
framework is developed enabling both the acquisition of interaction
behaviours from the observation of humans, and the use of the acquired
behaviour models to simulate a plausible partner during interaction.
Statistically based interaction behaviour models are acquired
automatically from the observation of interacting humans. Interaction
with a virtual human is achieved using the model together with a
stochastic tracking algorithm. Experimental results demonstrate the
generation and use of the model for a simple human interaction
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