Open AccessUIBVFED: Virtual facial expression dataset
Author(s) -
M. Oliver,
Esperança Amengual Alcover
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0231266
Subject(s) - facial expression , computer science , expression (computer science) , field (mathematics) , focus (optics) , software , facial expression recognition , artificial intelligence , data science , human–computer interaction , information retrieval , pattern recognition (psychology) , facial recognition system , mathematics , physics , pure mathematics , optics , programming language
Facial expression classification requires large amounts of data to reflect the diversity of conditions in the real world. Public databases support research tasks providing researchers an appropriate work framework. However, often these databases do not focus on artistic creation. We developed an innovative facial expression dataset that can help both artists and researchers in the field of affective computing. This dataset can be managed interactively by an intuitive and easy to use software application. The dataset is composed of 640 facial images from 20 virtual characters each creating 32 facial expressions. The avatars represent 10 men and 10 women, aged between 20 and 80, from different ethnicities. Expressions are classified by the six universal expressions according to Gary Faigin classification.