Multi-Source Transfer Learning for EEG Classification Based on Domain Adversarial Neural Network

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 31; pp. 218 - 228
• Main Authors: Liu, Dezheng, Zhang, Jia, Wu, Hanrui, Liu, Siwei, Long, Jinyi
• Format: Journal Article
• Language: English
• Published: United States IEEE 2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: adversarial learning; Brain modeling; Brain-computer interfaces; Classification; Classifiers; Deep learning; Domains; EEG; electroencephalogram; Electroencephalography; Feature extraction; Generative adversarial networks; Humans; Learning; Machine Learning; multi-source fusion; Neural networks; Neural Networks, Computer; Optimization; Performance enhancement; Training; Transfer learning

Electroencephalogram (EEG) classification has attracted great attention in recent years, and many models have been presented for this task. Nevertheless, EEG data vary from subject to subject, which may lead to the performance of a classifier degrades due to individual differences. To collect enough...