Unsupervised multi-source variational domain adaptation for inter-subject SSVEP-based BCIs

• Published in: Expert systems with applications Vol. 238; p. 122155
• Main Authors: Zhang, Shubin, An, Dong, Liu, Jincun, Wei, Yaoguang, Sun, Fuchun
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.03.2024
• Subjects: Deep variational inference; Inter-subject brain-computer interface; Multi-source domain adaptation; Steady-state visual evoked potential; Steady-state visual evoked potential; Deep variational inference; Multi-source domain adaptation; Inter-subject brain-computer interface

Steady-State Visual Evoked Potential-based Brain-Computer Interfaces (SSVEP-based BCIs) are widely used to decode electroencephalography (EEG) data, often employing subject-specific models. However, these methods demand a substantial volume of labeled data, which tends to induce visual fatigue in su...