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{
    "pk": 49447,
    "title": "Self-supervised EEG Representation Learning based on Temporal Prediction and Spatial Reconstruction for Emotion Recognition",
    "subtitle": null,
    "abstract": "Affective Brain-Computer Interfaces has achieved remarkable advancements, enabling researchers to interpret labeled EEG data accurately. However, the annotation of EEG data is time-consuming and requires substantial effort, which limits the application in practical scenarios. In this paper, we propose a self-supervised EEG representation learning framework based on temporal prediction and spatial reconstruction (EEG-TPSR) to learn EEG representations from a large amount of unlabeled data. Our model consists of two stages: 1) In the pre-training stage, we use contrastive temporal prediction and spatial reconstruction as proxy tasks, which utilize the spatio-temporal information to learn the generic representations from EEG data; 2) In the fine-tuning stage, few data is used to calibrate the pre-trained model. We conduct extensive experiments on three emotion EEG datasets. The results demonstrate that our proposed model achieves excellent performance, with over 20% relative accuracy improvement and more than 15% improvement using only 1% labeled data.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Computer Science; Emotion; Electroencephalography (EEG); Neural Networks"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/93n3q505",
    "frozenauthors": [
        {
            "first_name": "Ren-Jie",
            "middle_name": "",
            "last_name": "Dai",
            "name_suffix": "",
            "institution": "Shanghai Jiao Tong University",
            "department": ""
        },
        {
            "first_name": "Keya",
            "middle_name": "",
            "last_name": "Hu",
            "name_suffix": "",
            "institution": "School of Electronic Information and Electrical Engineering",
            "department": ""
        },
        {
            "first_name": "Haolong",
            "middle_name": "",
            "last_name": "Yin",
            "name_suffix": "",
            "institution": "Shanghai Jiao Tong University",
            "department": ""
        },
        {
            "first_name": "Bao-Liang",
            "middle_name": "",
            "last_name": "Lu",
            "name_suffix": "",
            "institution": "Shanghai Jiao Tong University",
            "department": ""
        },
        {
            "first_name": "Wei-Long",
            "middle_name": "",
            "last_name": "Zheng",
            "name_suffix": "",
            "institution": "Shanghai Jiao Tong University",
            "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/49447/galley/37409/download/"
        }
    ]
}