In the context of affective human behavior analysis, we use the term continuous input to refer
to naturalistic settings where explicit or implicit input from the subject is continuously …

Human emotional and cognitive states evolve with variable intensity and clarity through the
course of social interactions and experiences, and they are continuously influenced by a …

The expression and experience of human behavior are complex and multimodal and
characterized by individual and contextual heterogeneity and variability. Speech and …

Automatic emotion recognition systems based on supervised machine learning require
reliable annotation of affective behaviours to build useful models. Whereas the dimensional …

For social robots to effectively engage in human–robot interaction (HRI), they need to be
able to interpret human affective cues and to respond appropriately via display of their own …

Many problems in machine learning and computer vision consist of predicting multi-
dimensional output vectors given a specific set of input features. In many of these problems …

We address the problem of tracking continuous levels of a participant's activation, valence
and dominance during the course of affective dyadic interactions, where participants may be …

Facial expressions of a person representing similar emotion are not always unique.
Naturally, the facial features of a subject taken from different instances of the same emotion …

This paper presents the various emotion classification and recognition systems which
implement methods aiming at improving Human Machine Interaction. The modalities and …

Improvised acting is a viable technique to study expressive human communication and to
shed light into actors' creativity. The USC CreativeIT database provides a novel, freely …