Riemannian geometry metric-based visual feedback for BCI user training: towards exploratory learning of motor imagery
Objective Despite their many emerging applications, practical use of brain–computer interfaces (BCIs) is often impeded by BCI-inefficiency, that is, the failure of the technology to decode neural modulations with sufficient accuracy. Recent evidence suggests that ineffective user training, namely fe...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Brain-Apparatus Communication |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/27706710.2024.2366193 |
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