Emotion recognition technology through analyzing the EEG signal is currently an essential
concept in Artificial Intelligence and holds great potential in emotional health care, human …

Affecting computing is an artificial intelligence area of study that recognizes, interprets,
processes, and simulates human affects. The user's emotional states can be sensed through …

A brain–computer interface (BCI) enables a user to communicate directly with a computer
using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the …

Neuroscience study has revealed the discrepancy of emotion expression between the left
and right hemispheres of human brain. Inspired by this study, in this article, we propose a …

In this paper, we propose a novel Electroencephalograph (EEG) emotion recognition
method inspired by neuroscience with respect to the brain response to different emotions …

To explore human emotions, in this paper, we design and build a multi-modal physiological
emotion database, which collects four modal physiological signals, ie …

In this paper, we propose a novel neural network model, called bi-hemisphere domain
adversarial neural network (BiDANN) model, for electroencephalograph (EEG) emotion …

Affective brain-computer interface based on electroencephalography (EEG) is an important
branch in the field of affective computing. However, the individual differences in EEG …

Emotion recognition from electroencephalograph (EEG) signals has long been essential for
affective computing. In this article, we evaluate EEG emotion recognition by converting EEG …

Emotion is a subjective psychophysiological reaction coming from external stimuli which
impacts every aspect of our daily lives. Due to the continuing development of non-invasive …