Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …

SenticNet is the knowledge base which the sentic computing framework leverages on for
concept-level sentiment analysis. This chapter illustrates how such a resource is built. In …

Human emotions and their modelling are increasingly understood to be a crucial aspect in
the development of intelligent systems. Over the past years, in fact, the adoption of …

In this book common sense computing techniques are further developed and applied to
bridge the semantic gap between word-level natural language data and the concept-level …

The study at hand aims at the development of a multimodal, ensemble-based system for
emotion recognition. Special attention is given to a problem often neglected: missing data in …

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 …

In this paper, we propose a bimodal emotion recognition system using the combination of
facial expressions and speech signals. The models obtained from a bimodal corpus with six …

In this article, effectiveness of air jet stimulation in mediated emotional communication was
investigated by assessing cross-modal influences of visual emotional expressions on tactile …

We propose a real-time system that continuously recognizes emotions from body
movements. The combined low-level 3D postural features and high-level kinematic and …

Incorporating multimodal information and temporal context from speakers during an
emotional dialog can contribute to improving performance of automatic emotion recognition …