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Improving Simulation of Continuous Emotional Facial Expressions by Analyzing Videos of Human Facial Activities

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PRIMA 2014: Principles and Practice of Multi-Agent Systems (PRIMA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8861))

Abstract

Conversational agents are receiving significant attention from multi-agent and human computer interaction research societies. In order to make conversational agents more believable and friendly, giving them the ability to express emotions is one of research fields which have drawn a lot of attention lately. In this paper, we propose a work on analysis of how emotional facial activities happen temporally. Our goal is to find the temporal patterns of facial activity of six basic emotions in order to improve the simulation of continuous emotional facial expressions on a 3D face of an embodied agent. Using facial expression recognition techniques, we first analyze a spontaneous video database in order to consider how facial activities are related to six basic emotions temporally. From there, we bring out the general temporal patterns for facial expressions of the six basic emotions. Then, based on the temporal patterns, we propose a scheme for displaying continuous emotional states of a conversational agent on a 3D face.

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Ngo, T.D., Vu, T.H.N., Nguyen, V.H., Bui, T.D. (2014). Improving Simulation of Continuous Emotional Facial Expressions by Analyzing Videos of Human Facial Activities. In: Dam, H.K., Pitt, J., Xu, Y., Governatori, G., Ito, T. (eds) PRIMA 2014: Principles and Practice of Multi-Agent Systems. PRIMA 2014. Lecture Notes in Computer Science(), vol 8861. Springer, Cham. https://doi.org/10.1007/978-3-319-13191-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-13191-7_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13190-0

  • Online ISBN: 978-3-319-13191-7

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