Residual-Enhanced VAE-GAN for EEG Data Augmentation in Motor Imagery Classification

Motor imagery is a widely studied paradigm in Brain-Computer Interfaces (BCIs) systems, where electroencephalography (EEG) signals are used to decode brain activity. However, subject-specific variability leads to significant differences in EEG distributions across individuals, making it challenging...

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Bibliographic Details

Published in:	IEEE International Conference on Consumer Electronics-China (Online) pp. 603 - 604
Main Authors:	Tang, Haiyuan, Zhao, Wenshan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 16.07.2025
Subjects:	Accuracy Autoencoders Brain modeling Brain-computer interfaces Data augmentation Data models Domain Generalization Electroencephalography Image reconstruction Motor Imagery Motors Residual Modeling Training data
ISSN:	2575-8284
Online Access:	Get full text
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