Over the past two decades, automatic facial emotion recognition has received enormous
attention. This is due to the increase in the need for behavioral biometric systems and …

The ability to recognize emotion is one of the hallmarks of emotional intelligence. This paper
proposed to recognize emotion using physiological signals obtained from multiple subjects …

This paper describes a new posed multimodal emotional dataset and compares human
emotion classification based on four different modalities-audio, video, electromyography …

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

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

Facial expression recognition (FER) is currently one of the most active research topics due
to its wide range of applications in the human-computer interaction field. An important part of …

Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …

Much attention has been paid to the recognition of human emotions with the help of
electroencephalogram (EEG) signals based on machine learning technology. Recognizing …

Recently, deep learning methodologies have become popular to analyse physiological
signals in multiple modalities via hierarchical architectures for human emotion recognition …

Given the rapid development of brain–computer interfaces, emotion identification based on
EEG signals has emerged as a new study area with tremendous importance in recent years …