Subject-class joint gradient alignment based domain generalization framework in unseen subject motor imagery classification

Domain generalization (DG) based on meta-learning (ML) can effectively enhance the model’s generalization capability for unknown subjects in motor imagery-based brain-computer interface (MI-BCI). However, the current methods merely achieve balance across different subjects while neglecting inter-cla...

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Bibliographic Details

Published in:	Journal of physics. Conference series Vol. 3079; no. 1; pp. 12083 - 12089
Main Authors:	Liu, Hanlin, Li, Zhi, Li, Mingai
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.08.2025
Subjects:	Alignment Boundaries Categories Classification Human-computer interface Imagery Test sets
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
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