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 …

Objective. Cultures have essential influences on emotions. However, most studies on
cultural influences on emotions are in the areas of psychology and neuroscience, while the …

The integration of emotional intelligence in machines is an important step in advancing
human–computer interaction. This demands the development of reliable end-to-end emotion …

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 …

In recent years, more and more people have begun to use massive online open course
(MOOC) platforms for distance learning. However, due to the space–time isolation between …

Detecting emotions is a growing field aiming to comprehend and interpret human emotions
from various data sources, including text, voice, and physiological signals …

In brain-computer interface (BCI), building accurate electroencephalogram (EEG) classifiers
for specific mental tasks is critical for BCI performance. The classifiers are developed by …

One of the most important problems in virtual environments (VEs) is the difficulty users face
when trying to deal with increasingly complex systems. Thus, giving machines the ability to …

Emotion recognition technology through EEG signal analysis is currently a fundamental
concept in artificial intelligence. This recognition has major practical implications in …

The needle bio-potential sensors for measuring muscle and brain activity need invasive
surgical targeted muscle reinnervation (TMR) and a demanding process to maintain, but …