The automated recognition of human emotions plays an important role in develo**
machines with emotional intelligence. Major research efforts are dedicated to the …

Emotion and sentiment play a central role in various human activities, such as perception,
decision-making, social interaction, and logical reasoning. Develo** artificial emotional …

Fine-grained emotion recognition can model the temporal dynamics of emotions, which is
more precise than predicting one emotion retrospectively for an activity (eg, video clip …

During group interactions, we react and modulate our emotions and behaviour to the group
through phenomena including emotion contagion and physiological synchrony. Previous …

Depression is a common mental illness which has brought great harm to the individuals.
With recent evidence that many objective physiological signals are associated with …

Accurate prediction and recognition of human emotions are crucial for effective human-
computer interfaces. An automated emotion recognition (AER) method is highly desirable …

Recent studies have found that electroencephalographic (EEG) features from different
frequency bands and different brain regions contribute differently to emotion recognition …

Recent advances in AI-based learning models have significantly increased the accuracy of
Automatic Personality Recognition (APR). However, these methods either require training …

In this study, we evaluated the performance of tonic and phasic components of
Electrodermal activity (EDA) using machine learning algorithms for accurately recognizing …

Multiple state variables governed by internal processes within the human body remain
unobserved. On a number of occasions, these states are linked to point process bioelectric …