Title

Imitating Personalized Expressions In An Avatar Through Machine Learning

Abstract

This paper describes a method for automatically reproducing personalized facial expressions in a computergenerated avatar and a proof-of-concept test is implemented to evaluate the preliminary viability of the method. The method employed is a combination of an expression recognition system derived from the Facial Action Coding System, mapped by a Particle Swarm Optimization algorithm onto a computerized facial rig with 'musculature' based on the Facial Action Coding System. This approach is analyzed in depth, and an initial test of the algorithm is implemented and tested with promising initial results. Copyright © 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Publication Date

10-19-2010

Publication Title

Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23

Number of Pages

68-73

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

77957863698 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/77957863698

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