Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition
Wenjie Li,
Haoyu Li,
Xinlin Sun
et al.
Abstract:Objective. The extensive application of electroencephalography (EEG) in brain-computer interfaces (BCIs) can be attributed to its non-invasive nature and capability to offer high-resolution data. The acquisition of EEG signals is a straightforward process, but the datasets associated with these signals frequently exhibit data scarcity and require substantial resources for proper labeling. Furthermore, there is a significant limitation in the generalization performance of EEG models due to the substantial inter… Show more
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