Acquisition of labeled training samples for affective computing is usually costly and time-
consuming, as affects are intrinsically subjective, subtle and uncertain, and hence multiple …

Unobtrusive recognition of the user's mood is an essential capability for affect-adaptive
systems. Mood is a subtle, long-term affective state, often misrecognized even by humans …

Electroencephalographic sensors have proven to be promising for emotion recognition. Our
study focuses on the recognition of valence and arousal levels using such sensors. Usually …

Affective computing needs a better understanding of human emotion elicitation. Most
contributions use modalities such as speech or facila expressions, that are limited by their …

One of the major research topics in computer vision is automatic video scene understanding
where the ultimate goal is to build artificial intelligence systems comparable with humans in …

The affective state of a user, during an interaction with a computer, is a great source of
information for the computer in order to (i) employ the information for adapting an interaction …

Affect-adaptive systems are dependent on their ability to automatically recognize a user's
affective state. This study aims to contribute to the creation of an affect-adaptive system that …