Riemannian Channel Selection for BCI With Between-Session Non-Stationarity Reduction Capabilities
Objective: Between-session non-stationarity is a major challenge of current Brain-Computer Interfaces (BCIs) that affects system performance. In this paper, we investigate the use of channel selection for reducing between-session non-stationarity with Riemannian BCI classifiers. We use the Riemannia...
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| Main Authors: | , |
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| Format: | Book |
| Published: |
IEEE,
2022-01-01T00:00:00Z.
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