Modeling of layered fuzzy facial expression generation

Authors:
Yu-Li Xue;Xia Mao;Zheng Li;Wei-He Diao
Affiliations:
School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China;School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China;School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China;School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China
Venue:
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
Year:
2007

Citing 7
Cited 1

Layered compositing of facial expression

ACM SIGGRAPH 97 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '97
Affective computing

Affective computing
Modeling motivations and emotions as a basis for intelligent behavior

AGENTS '97 Proceedings of the first international conference on Autonomous agents
Generation of Facial Expressions from Emotion Using a Fuzzy Rule Based System

AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Synthetic characters as multichannel interfaces

ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Why robots will have emotions

IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Intelligent expressions of emotions

ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction

Implementing emotion-based user-aware e-learning

CHI '09 Extended Abstracts on Human Factors in Computing Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposed a layered fuzzy model of facial expression generation, in which the layers of physiological model at low level, emotional model at middle level and social rules at high level determine the fuzzy facial expression generation. In the layered fuzzy facial expression generation system, facial expressions of 26 emotions can be fuzzily generated, as well as social expressions and instinctive expressions. Experiment results indicated that the model of layered fuzzy facial expression generation works well in displaying lifelike facial expressions.