Affective computing, a subcategory of artificial intelligence, detects, processes, interprets,
and mimics human emotions. Thanks to the continued advancement of portable non …

Emotions are closely related to human behavior, family, and society. Changes in emotions
can cause differences in electroencephalography (EEG) signals, which show different …

As a subjectively psychological and physiological response to external stimuli, emotion is
ubiquitous in our daily life. With the continuous development of the artificial intelligence and …

EEG-based emotion recognition has become an important task in affective computing and
intelligent interaction. However, how to effectively combine the spatial, spectral, and …

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 …

This paper reviews the state of the arts and trends of the AI-Based biomedical processing
algorithms and hardware. The algorithms and hardware for different biomedical applications …

Emotion recognition is a vital but challenging step in creating passive brain-computer
interface applications. In recent years, many studies on electroencephalogram (EEG)-based …

Subject-independent emotion recognition (SIER) using electroencephalogram (EEG)
signals has always been a challenge among the biomedical research community. One of the …

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

This study investigates the use of electroencephalography (EEG) to characterize emotions
and provides insights into the consistency between self-reported and machine learning …