Emotion recognition plays an essential role in human–computer interaction. Previous
studies have investigated the use of facial expression and electroencephalogram (EEG) …

Emotion plays an important role in communication. For human–computer interaction, facial
expression recognition has become an indispensable part. Recently, deep neural networks …

The facial emotion recognition (FER) system classifies the driver's emotions and these
results are crucial in the autonomous driving system (ADS). The ADS effectively utilizes the …

With the continued development of artificial intelligence (AI) technology, research on
interaction technology has become more popular. Facial expression recognition (FER) is an …

Facial expression recognition (FER) in the wild is a challenging task for affective computing
in human–machine interaction fields. However, most of the existing methods fail to learn the …

Emotion recognition is a very important technique for ultimate interactions between human
beings and artificial intelligence systems. For effective emotion recognition in a continuous …

In spite of the recent advancements in the field of deep learning based techniques for facial
expression recognition, the efficiency of the state-of-the-art recognition methods in the wild …

Humans use facial expressions to show their emotional states. However, facial expression
recognition has remained a challenging and interesting problem in computer vision. In this …

A single network model can't extract more complex and rich effective features. Meanwhile,
the network structure is usually huge, and there are many parameters and consume more …

Using multimodal fusion method to deal with emotion recognition task has become a trend.
The fusion vector can more comprehensively reflect the subject's emotional change state, so …