{"pk":49612,"title":"MSCNN-ADDA: A Cross-Subject P300 EEG Decoding Algorithm Based on a Multi-Scale Convolutional Neural Network and Adversarial Discriminative Domain Adaptation","subtitle":null,"abstract":"A brain-computer interface (BCI) enables direct communication between the brain and external devices. Despite progress, EEG decoding still faces challenges: 1) how to shorten or eliminate the calibration process in cross-subject BCI scenarios; 2) how to capture more characteristic features from different scales in EEG data; and 3) how to extract subject-independent EEG features more effectively. To address these, we propose a cross-subject EEG decoding algorithm based on a multiscale convolutional neural network (MSCNN) and domain adaptation for P300-based BCIs. The MSCNN was trained on a large-scale EEG dataset to extract subject-independent features, then fine-tuned via ADDA to align cross-subject data. In offline analysis, we achieved a cross-subject average accuracy exceeding 83%, indicating that we successfully established a domain adaptation-based cross-subject EEG decoding algorithm, which can eliminate the subject-specific calibration process for new subjects.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Artificial Intelligence; Human-computer interaction; Machine learning; Electroencephalography (EEG); Neural Networks"}],"section":"Papers with Poster Presentation","is_remote":true,"remote_url":"https://escholarship.org/uc/item/20q9m859","frozenauthors":[{"first_name":"Wanying","middle_name":"","last_name":"He","name_suffix":"","institution":"South China Normal University","department":""},{"first_name":"Yongxi","middle_name":"","last_name":"Zhao","name_suffix":"","institution":"South China Normal University","department":""},{"first_name":"Jiahui","middle_name":"","last_name":"Pan","name_suffix":"","institution":"South China Normal 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/49612/galley/37574/download/"}]}