Gonzalez, I., Oveneke, M. C., Jiang, D., Verhelst, W., & Sahli, H. (2015). Framework for Combination Aware AU Intensity Recognition. In IEEE 6th International Conference on Affective Computing and Intelligent Interaction (ACII2015) (pp. 602). Article 10.1109/ACII.2015.7344631

@inproceedings{680918d6c6804f26a2bd9d04894f1dc3,
title = "Framework for Combination Aware AU Intensity Recognition",
abstract = "We present a framework for combination aware AUintensity recognition. It includes a feature extraction approachthat can handle small head movements which does not requireface alignment. A three layered structure is used for the AUclassification. The first layer is dedicated to independent AU recognition, and the second layer incorporates AU combinationknowledge. At a third layer, AU dynamics are handled based onvariable duration semi-Markov model. The first two layers aremodeled using extreme learning machines (ELMs). ELMs haveequal performance to support vector machines but are computationallymore efficient, and can handle multi-class classificationdirectly. Moreover, they include feature selection via manifoldregularization. We show that the proposed layered classificationscheme can improve results by considering AU combinations aswell as intensity recognition.",
keywords = "FACS, ELM, AU combination aware hierarchical classification, VDHMM",
author = "Isabel Gonzalez and Oveneke, {Meshia C{\'e}dric} and Dongmei Jiang and Werner Verhelst and Hichem Sahli",
year = "2015",
language = "English",
pages = "602",
booktitle = "IEEE 6th International Conference on Affective Computing and Intelligent Interaction (ACII2015)",
note = "IEEE 6th International Conference on Affective Computing and Intelligent Interaction ; Conference date: 21-09-2015 Through 24-09-2015",
}