Subject adaptation with deep convolutional neural network for EEG-based motor imagery classification
Deep learning has emerged as a powerful tool for developing Brain-Computer Interface (BCI) systems. However, the scarcity of subject-specific data results in a marginal performance increase for deep learning models trained entirely on the data from a specific individual. To overcome this, many trans...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2020
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Online Access: | https://hdl.handle.net/10356/138000 |
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Institution: | Nanyang Technological University |
Language: | English |
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