IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
Special Issue Paper
Proposal of Self-Learning and Recognition System of Facial Expression
Yukihiro OgawaKunihito KatoKazuhiko Yamamoto
Author information
JOURNAL FREE ACCESS

2004 Volume 124 Issue 3 Pages 699-705

Details
Abstract
We describe realization of more complicated function by using the information acquired from some equipped unripe functions. The self-learning and recognition system of the human facial expression, which achieved under the natural relation between human and robot, are proposed. The robot with this system can understand human facial expressions and behave according to their facial expressions after the completion of learning process. The system modelled after the process that a baby learns his/her parents’ facial expressions. Equipping the robot with a camera the system can get face images and equipping the CdS sensors on the robot’s head the robot can get the information of human action. Using the information of these sensors, the robot can get feature of each facial expression. After self-learning is completed, when a person changed his facial expression in front of the robot, the robot operates actions under the relevant facial expression.
Content from these authors
© 2004 by the Institute of Electrical Engineers of Japan
Previous article Next article
feedback
Top