Small Sample Motor Imagery Classification Using Regularized Riemannian Features
Motor imagery-based electroencephalogram brain-computer interface (BCI) performance suffers from huge variations within and across subjects. This is due to different spatial and temporal characteristics among the subjects. To address these variabilities, a large number of labeled subject specific tr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8681196/ |