By Panrong Yin, Liyue Zhao, Lixing Huang, Jianhua Tao (auth.), Ana C. R. Paiva, Rui Prada, Rosalind W. Picard (eds.)
This publication constitutes the refereed lawsuits of the second one overseas convention on Affective Computing and clever interplay, ACII 2007, held in Lisbon, Portugal, in September 2007.
The fifty seven revised complete papers and four revised brief papers provided including the prolonged abstracts of 33 poster papers have been conscientiously reviewed and chosen from 151 submissions. The papers are prepared in topical sections on affective facial features and popularity, affective physique expression and popularity, affective speech processing, affective textual content and discussion processing, recognising impact utilizing physiological measures, computational versions of emotion and theoretical foundations, affective databases, annotations, instruments and languages, affective sound and song processing, affective interactions: platforms and purposes, in addition to comparing affective systems.
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Additional resources for Affective Computing and Intelligent Interaction: Second International Conference, ACII 2007 Lisbon, Portugal, September 12-14, 2007 Proceedings
As a result we expect that our subjects are aware of certain rules of facial behaviour in interpersonal relations and that these rules are concordant with the rules of our model. 1 Scenario Set-Up Our evaluation study consists in showing subjects a set of animations that we generated using the Greta agent  and a model of complex facial expressions . Each of them presents the same sequence of events. The verbal content is identical and animations can be distinguished only by the facial behaviour of the agent.
The software used for capture of the feature points was the commercially available FaceStation package. This tracks largely front-on expressions and registers the positions of 22 feature points. These can then be inputted into 3D Studio Max to animate a 3D head model. For our purposes the feature points were kept in the format in which they were outputted from the face tracking software and were represented by a set of 2D normalised points. The 22 feature points are shown in Figure 4 in an example of tracking.
For a particular facial expression the local regions that correspond to the visible regions are weighted accordingly. Our approach was to use a model, as represented by the technique of principal component analysis (PCA), built from a set of facial expressions to estimate the value of the missing data. Facial expression is represented by a set of feature points obtained from across the face. Three techniques described by Nelson, Taylor and MacGregor were identiﬁed as being suitable for replacing missing data using PCA, projection to the model plane, single component projection and replacement by the conditional mean; these were tested to see which provided the best reconstruction.
Affective Computing and Intelligent Interaction: Second International Conference, ACII 2007 Lisbon, Portugal, September 12-14, 2007 Proceedings by Panrong Yin, Liyue Zhao, Lixing Huang, Jianhua Tao (auth.), Ana C. R. Paiva, Rui Prada, Rosalind W. Picard (eds.)