{"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/"}]}