Please use this identifier to cite or link to this item: https://doi.org/10.1109/ROMAN.2008.4600668
Title: Facial expression imitation in human robot interaction
Authors: Ge, S.S. 
Wang, C.
Hang, C.C. 
Issue Date: 2008
Source: Ge, S.S.,Wang, C.,Hang, C.C. (2008). Facial expression imitation in human robot interaction. Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN : 213-218. ScholarBank@NUS Repository. https://doi.org/10.1109/ROMAN.2008.4600668
Abstract: In this paper, we propose an interactive system for reconstructing human facial expression. In the system, a nonlinear mass-spring model is employed to simulate twenty two facial muscles' tensions during facial expressions, and then the elastic forces of these tensions are grouped into a vector which is used as the input for facial expression recognition. The experimental results show that the nonlinear facial mass-spring model coupled with the SVM classifier is effective to recognize the facial expressions. Finally, we introduce our robot that can make artificial facial expressions. Experimental results of facial expression generation demonstrate that our robot can imitate six types of facial expressions. © 2008 IEEE.
Source Title: Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN
URI: http://scholarbank.nus.edu.sg/handle/10635/51164
ISBN: 9781424422135
DOI: 10.1109/ROMAN.2008.4600668
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