A Comparison of Physiological Signal Analysis Techniques and Classifiers for Automatic Emotional Evaluation of Audiovisual Contents.

This work focuses on finding the most discriminatory or representative features that allow to classify commercials according to negative, neutral and positive effectiveness based on the Ace Score index. For this purpose, an experiment involving forty-seven participants was carried out. In this experiment electroencephalography (EEG), electrocardiography (ECG), Galvanic Skin Response (GSR) and respiration data were acquired while subjects were watching a 30-min audiovisual content.

Alternative options for prescribing physical activity among obese children and adolescents: brisk walking supported by an exergaming platform.

Background: Physical inactivity has been identified as an important public health concern for children. An increasing sedentary way of life is directly related to obesity; hence, prevention and management of childhood obesity are commonly based on lifestyle interventions wherein increasing physical activity is one of the main targets. The use of exergames can be useful in promoting physical activity, but it is necessary more research.

Virtual representations of the self: engaging teenagers in emotional regulation strategies learning.

The aim of this paper is to present digital representations of humans (i.e., avatars) that look like the self, applied to the Mental Health (MH) field.