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{
    "pk": 49378,
    "title": "KWS-TA-CNN Network: Towards Lightweight Mild Cognitive Impairment Detection Using Eye-Tracking Signals From Virtual Reality Stroop Test",
    "subtitle": null,
    "abstract": "Mild cognitive impairment (MCI) detection using eye-tracking (ET) signals in virtual reality (VR)-based cognitive tasks shows great promise, as it can capture rich temporal and behavioral information. Therefore, we build four VR-based tasks based on Stroop test and construct a dataset for MCI detection using ET signals. However, ET signals often suffer from non-stationarity,variability, and redundancy, challenging accurate MCI detection.To address these issues, we propose a novel lightweight network KWS-TA-CNN with three key components: 1) Kymatio Wavelet scattering transform (KWS), which generates time-robust features and reduces memory usage through a depth-first traversal strategy; 2) Temporal Attention (TA) to dynamically weight critical time steps for MCI detection; and 3) 1D Convolutional Neural Network (CNN) to capture local temporal patterns and reduce feature redundancy. Experimental results from leave-one-subject-out cross-validation show high performance, with subject-level accuracies of 0.8158, 0.9211, 0.8158, and 0.8421 across the four tasks, demonstrating its strong clinical potential.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Cognitive Neuroscience; Computer Science; Machine learning; Computational neuroscience; Eye tracking"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/4zf264bg",
    "frozenauthors": [
        {
            "first_name": "Menglan",
            "middle_name": "",
            "last_name": "Ruan",
            "name_suffix": "",
            "institution": "Southeast University",
            "department": ""
        },
        {
            "first_name": "Wenyuan",
            "middle_name": "",
            "last_name": "Li",
            "name_suffix": "",
            "institution": "Nanjing Medical University",
            "department": ""
        },
        {
            "first_name": "Lei",
            "middle_name": "",
            "last_name": "Jin",
            "name_suffix": "",
            "institution": "Southeast University",
            "department": ""
        },
        {
            "first_name": "Leqi",
            "middle_name": "",
            "last_name": "Yang",
            "name_suffix": "",
            "institution": "Southeast University",
            "department": ""
        },
        {
            "first_name": "Wenbin",
            "middle_name": "",
            "last_name": "Luo",
            "name_suffix": "",
            "institution": "Southeast University",
            "department": ""
        },
        {
            "first_name": "Bin",
            "middle_name": "",
            "last_name": "Liu",
            "name_suffix": "",
            "institution": "Nanjing Medical University",
            "department": ""
        },
        {
            "first_name": "Chunfeng",
            "middle_name": "",
            "last_name": "Yang",
            "name_suffix": "",
            "institution": "Southeast University",
            "department": ""
        },
        {
            "first_name": "Wentao",
            "middle_name": "",
            "last_name": "Xiang",
            "name_suffix": "",
            "institution": "Nanjing Medical 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/49378/galley/37340/download/"
        }
    ]
}