Computer Science

A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications

W. Ma, Y. Zheng, et al.

EEG-based emotion recognition powered by deep learning is positioned to transform human–computer interaction. This article systematically classifies recent developments, explains why different research directions require distinct modeling approaches, and synthesizes the practical significance and promising future applications of EEG in emotion recognition. This research was conducted by Authors present in <Authors> tag.