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 …

Emotion recognition using electroencephalography (EEG) is becoming an interesting topic
among researchers. It has made a remarkable entry in the domain of biomedical, smart …

Emotions are closely related to human behavior, family and society. Since changes in
emotions can cause differences in electroencephalography (EEG) signals, EEG signals can …

Emotions are fundamental for human beings and play an important role in human cognition.
Emotion is commonly associated with logical decision making, perception, human …

Emotions have an important role in daily life, not only in human interaction, but also in
decision-making processes, and in the perception of the world around us. Due to the recent …

Emotion recognition has become increasingly prominent in the medical field and human-
computer interaction. When people's emotions change under external stimuli, various …

Electroencephalogram (EEG) signal-based emotion recognition has attracted wide interests
in recent years and has been broadly adopted in medical, affective computing, and other …

Emotion recognition based on electroencephalography (EEG) is a significant task in the
brain-computer interface field. Recently, many deep learning-based emotion recognition …

As the most direct way to measure the true emotional states of humans, EEG-based emotion
recognition has been widely used in affective computing applications. In this paper, we aim …

Emotion recognition based on electroencephalography (EEG) signal features is now one of
the booming big data research areas. As the number of commercial EEG devices in the …