Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …

A growing number of affective computing researches recently developed a computer system
that can recognize an emotional state of the human user to establish affective human …

This study aimed to classify different emotional states by means of EEG-based functional
connectivity patterns. Forty young participants viewed film clips that evoked the following …

The differentiation of faces, facial expressions and affective pictures involves processes of
higher mental activity that have considerable applications in the psychology of moods and …

Emotion classification based on neurophysiology signals has been a challenging issue in
the literature. Recent neuroscience findings suggest that brain network structure underlying …

Successful emotional communication is crucial for social interactions and social
relationships. Parkinson's Disease (PD) patients have shown deficits in emotional …

The purpose of this study was to investigate the effective brain networks associated with
joyful, melancholic, and neutral music. Connectivity patterns among EEG electrodes in …

Advances in affective computing technologies have made it possible for researchers to
investigate brain function while users interact in virtual environments. Progress in sensors …

The aim of the present study was to investigate the role of beta oscillatory responses upon
cognitive load in healthy subjects and in subjects with mild cognitive impairment (MCI). The …

Structural and metabolic alterations in prefrontal brain areas, including the subgenual
(SGPFC), medial (MPFC) and dorsolateral prefrontal cortex (DLPFC), have been shown in …