Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

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

Background and objective: Emotion classification tasks based on electroencephalography
(EEG) are an essential part of artificial intelligence, with promising applications in healthcare …

Emotion classification based on neurophysiology signals has been a challenging issue in
the literature. Recent neuroscience findings suggest that brain network structure underlying …

Electroencephalography (EEG) emotion recognition is an important task for brain–computer
interfaces. The time, frequency, and spatial domains of EEG signals have been widely …

Encountering unexpected events with different levels of danger can cause different levels of
emotional changes in the driver, and identifying the driver's mental state can assist in …

Brain network analysis is one efficient tool in exploring human brain diseases and can
differentiate the alterations from comparative networks. The alterations account for time …

Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …

Electroencephalography (EEG), despite its inherited complexity, is a preferable brain signal
for automatic human emotion recognition (ER), which is a challenging machine learning task …

Emotions, formed in the process of perceiving external environment, directly affect human
daily life, such as social interaction, work efficiency, physical wellness, and mental health. In …