The execution of a human movement involves different muscles that are activated and
coordinated by the brain at different temporal scales in a complex cognitive process. For this …

Emotion Recognition systems are typically trained to classify a given psychophysiological
state into emotion categories. Current platforms for emotion ground-truth collection show …

Background Sustained engagement is essential for the success of telerehabilitation
programs. However, patients' lack of motivation and adherence could undermine these …

There is great potential for adapting Virtual Reality (VR) exergames based on a user's
affective state. However, physical activity and VR interfere with physiological sensors …

Affective computing has been widely used to detect and recognize emotional states. The
main goal of this study was to detect emotional states using machine learning algorithms …

It is widely known that the decisions being made concern objects representing a set of
characteristics whose importance is unique for every decision-maker. However, including …

The present investigation examines the relationship between emotional user states–
composed of emotional valence and arousal–and performance in command-and-control …

In the latter years, we have been observing a growth in wearable technology for personal
use. However, an analysis of the state of the art for wearable technology shows that most …

There is an increasing interest, in consumer behaviour research related to food and
beverage, in taking a step further from the traditional self-report questionnaires and …

Machine learning based acute stress detection systems use physiological sensor data to
objectively predict acute stress. However, machine learning algorithms developed for stress …