Emotion recognition is an important factor in social communication and has a wide range of
applications from retail to healthcare. In psychology, emotion recognition focuses on …

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

Emotion recognition plays a particularly important role in the field of artificial intelligence.
However, the emotional recognition of electroencephalogram (EEG) in the past was only a …

Emotion recognition refers to the process of actively analyzing human emotions through
computer technology, and it has become an important part of modern society. Traditional …

In recent years, human–computer interaction (HCI) systems have become increasingly
popular. Some of these systems demand particular approaches for discriminating actual …

Goal: As an essential human-machine interactive task, emotion recognition has become an
emerging area over the decades. Although previous attempts to classify emotions have …

In recent years, deep learning has been increasingly used in the field of multimodal emotion
recognition in conjunction with electroencephalogram. Considering the complexity of …

Multimodal emotion recognition research is gaining attention because of the emerging trend
of integrating information from different sensory modalities to improve performance …

Emotion recognition has become an important field of research in human computer
interactions and there is a growing need for automatic emotion recognition systems. One of …

Emotion recognition in real-time using electroencephalography (EEG) signals play a key
role in human-computer interaction and affective computing. The existing emotion …