Emotions have an important role in daily life, not only in human interaction, but also in
decision-making processes, and in the perception of the world around us. Due to the recent …

We present AMIGOS-A dataset for Multimodal research of affect, personality traits and mood
on Individuals and GrOupS. Different to other databases, we elicited affect using both short …

Abstract Background and Objective Using deep-learning methodologies to analyze
multimodal physiological signals becomes increasingly attractive for recognizing human …

In recent years, the use of bio-sensing signals such as electroencephalogram (EEG),
electrocardiogram (ECG), etc. have garnered interest towards applications in affective …

The purpose of this study is to improve human emotional classification accuracy using a
convolution neural networks (CNN) model and to suggest an overall method to classify …

This work presents a comprehensive review on stimuli presentation, which is an important
stage of any emotion elicitation experiment in affect analysis. Due to lack of standard …

Recent years have witnessed a growing interest in EEG-based wearable classifiers of
emotions, which could enable the real-time monitoring of patients suffering from …

Using machine-learning methodologies to analyze EEG signals becomes increasingly
attractive for recognizing human emotions because of the objectivity of physiological data …

Emerging virtual reality/augmented reality games and self-driving cars necessitate
accurate/responsive/private emotion recognition. Usually, traditional emotion recognition …

Emotion plays a vital role in human health and many aspects of life, including relationships,
behaviors and decision-making. An intelligent emotion recognition system may provide a …