Cognitive and synthetic behavior of avatars in intelligent virtual environments |
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Authors: | Ronghua Liang Mingmin Zhang Zhen Liu Meleagros Krokos |
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Affiliation: | (1) College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310032, China;(2) State Key Lab of CAD&CG, Zhejiang University, Hangzhou, 310027, People’s Republic of China;(3) Institute of Information, Ning Bo University, Ning Bo, Zhejiang, 315211, People’s Republic of China;(4) Department of Creative Technologies, University of Portsmouth, Portsmouth, UK |
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Abstract: | In intelligent virtual environments (IVEs), it is a challenging research issue to provide the intelligent virtual actors (or
avatars) with the ability of visual perception and rapid response to virtual world events. Modeling an avatar’s cognitive
and synthetic behavior appropriately is of paramount important in IVEs. We propose a new cognitive and behavior modeling methodology
that integrates two previously developed complementary approaches. We present expression cloning, walking synthetic behavior
modeling, and an autonomous agent cognitive model for driving an avatar’s behavior. Facial expressions are generated using
our own-developed rule-based state transition system. Facial expressions are further personalized for individuals by expression
cloning. An avatar’s walking behavior is modeled using a skeleton model that is implemented by seven-motion sequences and
finite state machines (FSMs). We discuss experimental results demonstrating the benefits of our approach. |
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Keywords: | Expression animation Walking synthetic behavior Expression cloning Autonomous agent models FSM |
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