Advanced emotion monitoring and intervention systems are critical for human-machine
cooperation to finish specific tasks in which recognizing mixed emotions is essential. This …

Due to the rapid development of human–computer interaction, affective computing has
attracted more and more attention in recent years. In emotion recognition …

At present, there are many classification methods for emotion recognition. Based on the
SEED dataset, this paper explored the recognition performance of three emotion recognition …

A novel method of using the spiking neural networks (SNNs) and the electroencephalograph
(EEG) processing techniques to recognize emotion states is proposed in this paper. Three …

Affective computing is one of the key technologies to achieve advanced brain-machine
interfacing. It is increasingly concerning research orientation in the field of artificial …

Emotion analysis is the key technology in human–computer emotional interaction and has
gradually become a research hotspot in the field of artificial intelligence. The key problems …

Humans experience a variety of emotions throughout the course of their daily lives, including
happiness, sadness, and rage. As a result, an effective emotion identification system is …

An adaptive neural decision tree is investigated to recognize electroencephalogram (EEG)
emotion signal with ability of intelligently selecting network structure. Firstly, to overcome …

Recently, emotional electroencephalography (EEG) has been of great importance in brain–
computer interfaces, and it is more urgent to realize automatic emotion recognition. The EEG …

Emotion and feelings are recently becoming popular concepts in the everyday life. It not only
affects human health but also plays an essential role in the decision-making processes. For …