Abstract
To improve face-to-face interaction with robots, we developed a model for generating interactive facial expressions by using a simple recurrent network (SRN). Conventional models for robot facial expression use predefined expressions, so only a limited number of expressions can be presented. This means that the expression may not match the interaction and that the person may find the expressions monotonous. Both problems can be overcome by generating expressions dynamically. We tested this model by incorporating it into a robot and comparing the expressions generated with those of a conventional model. The results demonstrated that using our model increases the diversity of face-to-face interaction with robots.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kato, S., Ohshiro, S., Itoh, H., Kimura, K.: Development of a communication robot Ifbot. In: The 2004 IEEE International Conference on Robotics and Automation (ICRA), pp. 697–702 (2004)
Kanoh, M., Iwata, S., Kato, S., Itoh, H.: Emotive Facial Expressions of Sensitivity Communication Robot Ifbot. Kansei Engineering International 5(3), 35–42 (2005)
Elman, J.L.: Finding structure in time. Cognitive Science 14, 179–211 (1990)
Business Design Laboratory Co. Ltd. Communication Robot ifbot, http://www.ifbot.net
Ekman, P.: Unmasking the Face. Prentice-Hall, Englewood Cliffs (1975)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Matsui, Y., Kanoh, M., Kato, S., Itoh, H. (2008). Generating Interactive Facial Expression of Communication Robots Using Simple Recurrent Network. In: Ho, TB., Zhou, ZH. (eds) PRICAI 2008: Trends in Artificial Intelligence. PRICAI 2008. Lecture Notes in Computer Science(), vol 5351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89197-0_100
Download citation
DOI: https://doi.org/10.1007/978-3-540-89197-0_100
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89196-3
Online ISBN: 978-3-540-89197-0
eBook Packages: Computer ScienceComputer Science (R0)