DocumentCode :
3333651
Title :
Design and testing of a hybrid expressive face for a humanoid robot
Author :
Bazo, Daniel ; Vaidyanathan, Ravi ; Lentz, Alexander ; Melhuish, Chris
Author_Institution :
Dept. of Media Arts & Technol., Univ. of California, Santa Barbara, CA, USA
fYear :
2010
fDate :
18-22 Oct. 2010
Firstpage :
5317
Lastpage :
5322
Abstract :
The BERT2 social robot, a platform for the exploration of human-robot interaction, is currently being built at the Bristol Robotics Laboratory. This paper describes work on the robot´s face, a hybrid face composed of a plastic faceplate and an LCD display, and our implementation of facial expressions on this versatile platform. We report the implementation of two representations of affect space, each of which map the space of potential emotions to specific facial feature parameters and the results of a series of human-robot interaction experiments to characterize the recognizability of the robot´s archetypal facial expressions. The tested subjects´ recognition of the implemented facial expressions for happy, surprised, and sad was robust (with nearly 100% recognition). Subjects, however, tended to confuse the expressions for disgusted and afraid with other expressions, with correct recognition rates of 21.1% and 52.6% respectively. Future work involves the addition of more realistic eye movements for stronger recognition of certain responses. These results demonstrate that a hybrid face with affect space facial expression implementations can provide emotive conveyance readily recognized by human beings.
Keywords :
emotion recognition; face recognition; feature extraction; human-robot interaction; humanoid robots; BERT2; Bristol Robotics Laboratory; LCD display; emotion recognition; facial expression recognition; human-robot interaction; humanoid robot; plastic faceplate; social robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on
Conference_Location :
Taipei
ISSN :
2153-0858
Print_ISBN :
978-1-4244-6674-0
Type :
conf
DOI :
10.1109/IROS.2010.5651469
Filename :
5651469
Link To Document :
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