Affective computing is an emerging multidisciplinary research field that is increasingly
drawing the attention of researchers and practitioners in various fields, including artificial …

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 …

Automated affective computing in the wild setting is a challenging problem in computer
vision. Existing annotated databases of facial expressions in the wild are small and mostly …

Past research in analysis of human affect has focused on recognition of prototypic
expressions of six basic emotions based on posed data acquired in laboratory settings …

We introduce DAiSEE, the first multi-label video classification dataset comprising of 9068
video snippets captured from 112 users for recognizing the user affective states of boredom …

Despite major advances within the affective computing research field, modelling, analysing,
interpreting and responding to naturalistic human affective behaviour still remains as a …

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

Emotion recognition is the ability to identify what people would think someone is feeling from
moment to moment and understand the connection between his/her feelings and …

This paper describes a substantial effort to build a real-time interactive multimodal dialogue
system with a focus on emotional and nonverbal interaction capabilities. The work is …

Human emotions unfold over time, and more affective computing research has to prioritize
capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli …