Title :
Facial expression imitation in human robot interaction
Author :
Ge, S.S. ; Wang, C. ; Hang, C.C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
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 musclespsila 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.
Keywords :
face recognition; humanoid robots; man-machine systems; SVM classifier; facial expression imitation; human robot interaction; nonlinear mass-spring model; Couplings; Face detection; Face recognition; Facial muscles; Feature extraction; Human robot interaction; Interactive systems; Pattern recognition; Support vector machine classification; Support vector machines;
Conference_Titel :
Robot and Human Interactive Communication, 2008. RO-MAN 2008. The 17th IEEE International Symposium on
Conference_Location :
Munich
Print_ISBN :
978-1-4244-2212-8
Electronic_ISBN :
978-1-4244-2213-5
DOI :
10.1109/ROMAN.2008.4600668