Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as
physical, behavioral, and mental changes. In the latest days, physiological activity has been …

Emotion recognition based on electroencephalography (EEG) has attracted significant
attention due to its wide range of applications, especially in Human-Computer Interaction …

Emotion recognition is crucial for human–computer interaction, and electroencephalography
(EEG) stands out as a valuable tool for capturing and reflecting human emotions. In this …

Emotions play an important role in the decision-making of individuals. Emotional contagion
has an influence on individual and group-level behaviors. Particularly, the contagion of …

In emotion recognition using EEG, it is not generally agreed upon how much time an EEG
signal sequence must have in order to maximize precision and recall rates. To the best of …

This paper presents a new macromodeling technique for high-level power estimation. Our
technique is based on a parameterizable analytical model that relies exclusively on …

Objective. The study of emotion recognition through electroencephalography (EEG) has
garnered significant attention recently. Integrating EEG with other peripheral physiological …

Current approaches to emotion recognition do not address the fact that emotions are
dynamic processes. This work concerns itself with the development of a cognitive …

Crowd emotional contagion occurs in both virtual and physical cyberspace at the same time.
To realistically simulate the process of crowd emotional contagion, the influences of virtual …

Despite recent interest in continuous prediction of dimensional emotions, the dynamical
aspect of emotions has received less attention in automated systems. This paper …