Affective states are psycho-physiological constructs connecting mental and physiological
processes. They can be represented in terms of arousal and valence according to the …

In the last decades numerous researches have revealed a strong link between emotions
and several physiological responses. However, the automatic recognition of emotions still …

This study aims to predict emotions using biosignals collected via wrist-worn sensor and
evaluate the performance of different prediction models. Two dimensions of emotions were …

In order to improve intelligent Human-Computer Interaction it is important to create a
personalized adaptive emotion estimator that is able to learn over time emotional response …

The emotional or affective state has a direct impact not only on personal life, but also in the
field of work, sports, rehabilitation processes, among other fields. In the evolving …

In human emotion estimation using an electroencephalogram (EEG) and heart rate
variability (HRV), there are two main issues as far as we know. The first is that measurement …

Affective state estimation is a research field that has gained increased attention from the
research community in the last decade. Two of the main catalysts for this are the …

Anxiety disorders are psychiatric disorders characterized by a constant and abnormal
anxiety that interferes with daily-life activities. Their high prevalence in the general …

Many studies in literature successfully use classification algorithms to classify emotions by
means of physiological signals. However, there are still important limitations in …

Despite the rising number of emotional state detection methods motivated by the popularity
increase in affective computing techniques in recent years, they are yet faced with subject …