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

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

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 is an indispensable part of human emotion, which affects human normal
physiological activities and daily life decisions. Human emotion recognition is a critical …

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

In this paper, we proposed a real-time subject-dependent EEG-based emotion recognition
algorithm and tested it on experiments' databases and the benchmark database DEAP. The …

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 …

As a high-level function of the human brain, emotion is the external manifestation of people's
psychological characteristics. The emotion has a great impact on people's personality and …

Using electroencephalogram (EEG) signal to recognize emotional states has become a
research hotspot of affective computing. Previous emotion recognition methods almost …