Feb. 5, 2024, 6:43 a.m. | Chenyu Liu Xinliang Zhou Yihao Wu Ruizhi Yang Liming Zhai Ziyu Jia Yang Liu

cs.LG updates on arXiv.org arxiv.org

Compared to other modalities, EEG-based emotion recognition can intuitively respond to the emotional patterns in the human brain and, therefore, has become one of the most concerning tasks in the brain-computer interfaces field. Since dependencies within brain regions are closely related to emotion, a significant trend is to develop Graph Neural Networks (GNNs) for EEG-based emotion recognition. However, brain region dependencies in emotional EEG have physiological bases that distinguish GNNs in this field from those in other time series fields. …

become brain computer cs.lg dependencies eeg eess.sp emotion graph graph neural networks human interfaces networks neural networks patterns recognition survey tasks trend

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