Learning to Make Facial Expressions

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...

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Hauptverfasser: Tingfan Wu, Butko, N.J., Ruvulo, P., Bartlett, M.S., Movellan, J.R.
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Butko, N.J.
Ruvulo, P.
Bartlett, M.S.
Movellan, J.R.
description 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.
doi_str_mv 10.1109/DEVLRN.2009.5175536
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Actuators
Face detection
Feedback
Humans
Machine learning
Magnetic heads
Pediatrics
Robot sensing systems
Servomechanisms
Servomotors
title Learning to Make Facial Expressions
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