A Linear Dynamic Affect-Expression Model: Facial Expressions According to Perceived Emotions in Mascot-Type Facial Robots

It is expected that robots will be widely exposed to humans in the near future. Emotional communication is very important in human-robot interaction, as well as human- human interaction. Facial expression is an emotional expression method between humans, and it also enables human to recognize a robo...

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Bibliographic Details
Main Authors: Hui Sung Lee, Jeong Woo Park, Su Hun Jo, Myung Jin Chung
Format: Conference Proceeding
Language:English
Subjects:
Computer science
Emotion recognition
Face recognition
Human robot interaction
Humanoid robots
Mood
Orbital robotics
Robot control
Shape control
Vectors
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Summary:It is expected that robots will be widely exposed to humans in the near future. Emotional communication is very important in human-robot interaction, as well as human- human interaction. Facial expression is an emotional expression method between humans, and it also enables human to recognize a robot's emotional state. Although there are lots of previous research regarding facial expressions, it is not easily applicable to different shapes of robot faces, if the number and types of the robot's control points are varied. In addition, the natural connection between emotions has not been considered or has been inefficiently implemented in previous research. In this paper, we propose a linear dynamic affect-expression model for continuous change of expression and diversifying characteristics of expressional changes. Therefore, the proposed model allows a robot's facial expression and expression changes to more closely resemble those of humans, and this model is applicable to various mascot-type robots irrespective of the number and types of robot's control points.
ISSN:1944-9445
1944-9437
DOI:10.1109/ROMAN.2007.4415158