Learning to Make Facial Expressions

Authors:
Tingfan Wu;Nicholas J. Butko;Paul Ruvulo;Marian S. Bartlett;Javier R. Movellan
Affiliations:
Machine Perception Laboratory, University of California San Diego, 9500 Gilman Drive, La Jolla, 92093, USA;Machine Perception Laboratory, University of California San Diego, 9500 Gilman Drive, La Jolla, 92093, USA;Machine Perception Laboratory, University of California San Diego, 9500 Gilman Drive, La Jolla, 92093, USA;Machine Perception Laboratory, University of California San Diego, 9500 Gilman Drive, La Jolla, 92093, USA;Machine Perception Laboratory, University of California San Diego, 9500 Gilman Drive, La Jolla, 92093, USA
Venue:
DEVLRN '09 Proceedings of the 2009 IEEE 8th International Conference on Development and Learning
Year:
2009

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Abstract

This paper explores the process of self-guided learning of realistic facial expression production by a robotic head with 31 degrees of freedom. Facial motor parameters were learned using feedback from real-time facial expression recognition from video. The experiments show that the mapping of servos to expressions was learned in under one-hour of training time. We discuss how our work may help illuminate the computational study of how infants learn to make facial expressions.