Adaptive transfer learning for EEG motor imagery classification with deep convolutional neural network
In recent years, deep learning has emerged as a powerful tool for developing Brain-Computer Interface (BCI) systems. However, for deep learning models trained entirely on the data from a specific individual, the performance increase has only been marginal owing to the limited availability of subject...
| Váldodahkkit: | , , , |
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| Eará dahkkit: | |
| Materiálatiipa: | Journal Article |
| Giella: | English |
| Almmustuhtton: |
2022
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| Fáttát: | |
| Liŋkkat: | https://hdl.handle.net/10356/160766 |