Laughter and smiling facial expression modelling for the generation of virtual affective behavior

Show simple item record Mascaró, Miquel Serón Francisco, J. Perales Francisco, J. Varona, Javier Mas, Ramon 2024-01-22T12:32:15Z 2024-01-22T12:32:15Z
dc.description.abstract Laughter and smiling are significant facial expressions used in human to human communication. We present a computational model for the generation of facial expressions associated with laughter and smiling in order to facilitate the synthesis of such facial expressions in virtual characters. In addition, a new method to reproduce these types of laughter is proposed and validated using databases of generic and specific facial smile expressions. In particular, a proprietary database of laugh and smile expressions is also presented. This database lists the different types of classified and generated laughs presented in this work. The generated expressions are validated through a user study with 71 subjects, which concluded that the virtual character expressions built using the presented model are perceptually acceptable in quality and facial expression fidelity. Finally, for generalization purposes, an additional analysis shows that the results are independent of the type of virtual character's appearance.
dc.format application/pdf
dc.relation.isformatof Reproducció del document publicat a:
dc.relation.ispartof Plos One, 2021
dc.rights cc-by (c) Mascaró, Miquel et al., 2021
dc.subject.classification 51 - Matemàtiques
dc.subject.classification 004 - Informàtica
dc.subject.other 51 - Mathematics
dc.subject.other 004 - Computer Science and Technology. Computing. Data processing
dc.title Laughter and smiling facial expression modelling for the generation of virtual affective behavior
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/publishedVersion 2024-01-22T12:32:16Z
dc.rights.accessRights info:eu-repo/semantics/openAccess

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cc-by (c) Mascaró, Miquel et al., 2021 Except where otherwise noted, this item's license is described as cc-by (c) Mascaró, Miquel et al., 2021

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