MI-DABAN: A dual-attention-based adversarial network for motor imagery classification
MI-DABAN: A dual-attention-based adversarial network for motor imagery classification
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United States: Elsevier Ltd
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Language
English
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United States: Elsevier Ltd
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AbstractThe brain–computer interface (BCI) based on motor imagery electroencephalography (EEG) is widely used because of its convenience and safety. However, due to the distributional disparity between EEG signals, data from other subjects cannot be used directly to train a subject-specific classifier. For efficient use of the labeled data, domain...
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MI-DABAN: A dual-attention-based adversarial network for motor imagery classification
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TN_cdi_proquest_miscellaneous_2755799869
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2755799869
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ISSN
0010-4825
E-ISSN
1879-0534
DOI
10.1016/j.compbiomed.2022.106420
