Emotion Recognition Based on EEG Networks: Progress and Prospects

Emotion recognition, endowing computers with the ability to perceive emotions, is a focal point of interest in various fields, including computer science, psychology, sociology, biomedical engineering, and more. EEG network analysis methods are widely used in the neuroimaging field for neurocognitive analysis. These methods capture interactions between/among different brain regions to construct brain networks, thereby describing the information flow and functional collaboration across various brain areas. Given that emotional functions inherently involve the cooperation of multiple brain regions, EEG network analysis methods excel in capturing inter-regional information interactions, making them highly effective in emotion recognition. This paper provides a comprehensive introduction to the research background, principles, methods, and current status of EEG network-based emotion recognition. Additionally, the existing challenges and future development trends in this research area are discussed.