Various automated/semi-automated medical diagnosis systems based on human physiology
have been gaining enormous popularity and importance in recent years. Physiological …

The electroencephalogram (EEG) has great attraction in emotion recognition studies due to
its resistance to deceptive actions of humans. This is one of the most significant advantages …

Multimodal emotion recognition has gained traction in affective computing research
community to overcome the limitations posed by the processing a single form of data and to …

Since electroencephalogram (EEG) signals can truly reflect human emotional state, emotion
recognition based on EEG has turned into a critical branch in the field of artificial …

Most electroencephalography (EEG) based emotion recognition systems make use of
videos and images as stimuli. Few used sounds, and even fewer studies were found …

The understanding of a psychological phenomena such as emotion is of paramount
importance for psychologists, since it allows to recognize a pathology and to prescribe a due …

To understand human emotional states, local activities in various regions of the cerebral
cortex and the interactions among different brain regions must be considered. This paper …

Many of the called fourth revolution technologies have managed to venture into the field of
health care, allowing the possibility of generating spaces and environments focused on the …

In this chapter, we propose a system especially created for elderly or chronically ill people
that are with special needs and poor familiarity with technology. The system combines home …

Electroencephalogram (EEG) signals are a valuable tool for emotion recognition due to their
effectiveness. However, their non-linear and non-stationary nature often leads to suboptimal …