This article introduces a systematic review on arousal classification based on electrodermal
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …

Light and color are ubiquitous environmental factors which have an influence on the human
being. Hence, light and color issues have to be considered especially significant in human …

This paper introduces an architecture as a proof-of-concept for emotion detection and
regulation in smart health environments. The aim of the proposal is to detect the patient's …

This article is based on the assumption of musical power to change the listener's mood. The
paper studies the outcome of two experiments on the regulation of emotional states in a …

The assessment of physiological signals such as the electroencephalography (EEG) has
become a key point in the research area of emotion detection. This study compares the …

Early detection of stress condition is beneficial to prevent long-term mental illness like
depression and anxiety. This paper introduces an accurate identification of stress/calm …

This paper introduces the architecture of an emotion-aware ambient intelligent and
gerontechnological project named “Improvement of the Elderly Quality of Life and Care …

Digital health technologies transform practices, roles, and relationships in medicine. New
possibilities for a ubiquitous and constant data collection and the processing of data in real …

In the era of a workforce driven by automation and artificial intelligence, social and
emotional skills are becoming increasingly relevant to online learning environments. Since …

The level of realism that real-time virtual humans have reached in the last years enables
their use as an alternative to pictures and videos in the remediation of social cognition …