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Authors: Saki Morita and Kuniaki Uehara

Affiliation: Kobe University, Japan

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): Facial expression analysis, finite element method, angular metrics for shape similarity, emotion classification.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: Recent development in multimedia urges the need for an engineering study of the human face in communication media and man-machine interface. In this paper, we introduce a method not only for recognizing facial expression and human emotion, but for extracting rules from them as well. Facial data can be obtained by considering the relative position of each feature point in time series. Our approach estimates the behavior of muscles of facial expression from these data, and evaluates it to recognize facial expressions. In the recognition process, essential parameters that cause visible change of the face are extracted by estimating the force vectors of points on the face. The force vectors are calculated from displacements of points on the face by using FEM (Finite Element Method). To compare the multi-streams of force vectors of each facial expression effectively, A new similarity metric AMSS (Angular Metrics for Shape Similarity) is proposed. Finally, experiments of recognition of faci al expressions shows that usable results are achieved even with few testees in our approach and variable rule corresponding AUs can be detected. (More)

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Paper citation in several formats:
Morita, S. and Uehara, K. (2006). FACIAL EXPRESSION RECOGNITION BASED ON FACIAL MUSCLES BEHAVIOR ESTIMATION.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 48-55. DOI: 10.5220/0001372400480055

@conference{visapp06,
author={Saki Morita and Kuniaki Uehara},
title={FACIAL EXPRESSION RECOGNITION BASED ON FACIAL MUSCLES BEHAVIOR ESTIMATION},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={48-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001372400480055},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - FACIAL EXPRESSION RECOGNITION BASED ON FACIAL MUSCLES BEHAVIOR ESTIMATION
SN - 972-8865-40-6
AU - Morita, S.
AU - Uehara, K.
PY - 2006
SP - 48
EP - 55
DO - 10.5220/0001372400480055

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