Proposal of Self-Learning and Recognition System of Facial Expression

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  • Ogawa Yukihiro
    Gifu Prefectural Research Institute of Manufacturing Information Technology
  • Kato Kunihito
    Department of Information Science Faculty of Engineering Gifu University
  • Yamamoto Kazuhiko
    Department of Information Science Faculty of Engineering Gifu University

Bibliographic Information

Other Title
  • 表情自動学習·認識システムの提案
  • 表情自動学習・認識システムの提案
  • ヒョウジョウ ジドウ ガクシュウ ニンシキ システム ノ テイアン
Published
2004
Resource Type
journal article
DOI
  • 10.1541/ieejeiss.124.699
Publisher
The Institute of Electrical Engineers of Japan

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Description

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.

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