{"pk":49408,"title":"Spatial-Energy-Aware Dynamic Filtering with Sparse Graph Convolutions for EEG Emotion Recognition","subtitle":null,"abstract":"Accurate recognition of human emotions from EEG signals plays a critical role in affective computing and human-computer interaction. However, existing methods face significant challenges in effectively capturing the sparse, dynamic, and energy-dependent characteristics of brain activity during emotional experiences. To address these challenges, we propose a novel framework, Spatial-Energy-Aware Dynamic Filtering with Sparse Graph Convolutions (SEASGC), which rethinks EEG graph modeling from three perspectives: (1) sparse graph construction to adaptively capture the essential functional relationships between brain regions, (2) dynamic and location-dependent filtering to model nonlinear interactions between EEG nodes, and (3) energy-aware feature aggregation to leverage energy changes as critical indicators of emotional intensity. By explicitly integrating these principles, SEASGC provides a more comprehensive representation of EEG signals for emotion recognition. Extensive experiments on benchmark EEG emotion datasets demonstrate that SEASGC achieves state-of-the-art performance, highlighting its effectiveness and generalizability in modeling the complex spatial-spectral dynamics of EEG signals.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Artificial Intelligence; Cognitive Neuroscience; Emotion Perception; Machine learning; Spatial cognition; Brain Stimulation; Dynamic Systems Modeling; Electroencephalography (EEG)"}],"section":"Papers with Poster Presentation","is_remote":true,"remote_url":"https://escholarship.org/uc/item/31r0t22m","frozenauthors":[{"first_name":"Jingjing","middle_name":"","last_name":"Hu","name_suffix":"","institution":"Hefei University of Technology","department":""},{"first_name":"Shuaiqi","middle_name":"","last_name":"Fu","name_suffix":"","institution":"Jiangxi University of Finance and Economics","department":""},{"first_name":"Zhan","middle_name":"","last_name":"Si","name_suffix":"","institution":"Anhui University","department":""},{"first_name":"Junran","middle_name":"","last_name":"Chen","name_suffix":"","institution":"Wuhu Brain Media Information Technology Co., Ltd.","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2025-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/49408/galley/37370/download/"}]}