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{
    "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/"
        }
    ]
}