TY  - CONF
AU  - Agata Lapedriza
AU  - David Masip
AU  - D.Sanchez
A2  - CCIA
PY  - 2014//
TI  - Emotions Classification using Facial Action Units Recognition
BT  - 17th International Conference of the Catalan Association for Artificial Intelligence
SP  - 55
EP  - 64
VL  - 269
N2  - In this work we build a system for automatic emotion classification from image sequences. We analyze subtle changes in facial expressions by detecting a subset of 12 representative facial action units (AUs). Then, we classify emotions based on the output of these AUs classifiers, i.e. the presence/absence of AUs. We base the AUs classification upon a set of spatio-temporal geometric and appearance features for facial representation, fusing them within the emotion classifier. A decision tree is trained for emotion classifying, making the resulting model easy to interpret by capturing the combination of AUs activation that lead to a particular emotion. For Cohn-Kanade database, the proposed system classifies 7 emotions with a mean accuracy of near 90%, attaining a similar recognition accuracy in comparison with non-interpretable models that are not based in AUs detection.
SN  - 978-1-61499-451-0
UR  - http://dx.doi.org/10.3233/978-1-61499-452-7-55
N1  - OR;MV
ID  - Agata Lapedriza2014
ER  -