Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …

Social interactions require both the rapid processing of multifaceted socio-affective signals
(eg, eye gaze, facial expressions, gestures) and their integration with evaluations, social …

This study explored the role of the built environment of an academic campus in influencing
students' perception of mental restoration and well-being, who are constantly at risk of stress …

Collecting emotional physiological signals is significant in building affective Human-
Computer Interactions (HCI). However, how to evoke subjects' emotions efficiently in EEG …

The rapid development in deep learning models provide considerable advancements in
emotion recognition by electroencephalogram (EEG). However, existing approaches …

Understanding how human emotions are represented in our brain is a central question in
the field of affective neuroscience. While previous studies have mainly adopted a modular …

Deep learning classification models based on electroencephalogram (EEG) emotion
recognition have demonstrated considerable proficiency in the categorization of emotional …

Across vertebrates, adaptive behaviors, like feeding and avoiding predators, are linked to
lateralized brain function. The presence of the behavioral manifestations of these biases are …

Recent studies have bolstered the important role of the cerebellum in high-level socio-
affective functions. In particular, neuroscientific evidence shows that the posterior …

Current knowledge regarding how the focus of our attention during face processing
influences neural responses largely comes from neuroimaging studies reporting on regional …