The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …

In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …

Temporal dynamics have been increasingly recognized as an important component of facial
expressions. With the need for appropriate stimuli in research and application, a range of …

Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …

This paper presents a new extended collection of posed and induced facial expression
image sequences. All sequences were captured in a controlled laboratory environment with …

Abstract We present DEMoS (Database of Elicited Mood in Speech), a new, large database
with Italian emotional speech: 68 speakers, some 9 k speech samples. As Italian is under …

The search of a small acoustic feature set for emotion recognition faces three main
challenges. Such a feature set must be robust to large diversity of contexts in real-life …

This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions,
where interlocutors perform competitive and collaborative tasks with different behavior …

For many applications of emotion recognition, such as virtual agents, the system must select
responses while the user is speaking. This requires reliable on-line recognition of the user's …

In recent years, emotion recognition has received significant attention, presenting a plethora
of opportunities for application in diverse fields such as human–computer interaction …