Advancing SSVEP-BCI Decoding: Cross-Subject Transfer Learning and Short Calibrated Approach with ELM-AE
The Steady-State Visually Evoked Potential (SSVEP) is a robust paradigm for developing a high-speed Brain-Computer Interface (BCI). However, one of the challenges of BCI is to face the variability of EEG signals between subjects to reduce or eliminate the time calibration process for a new subject (...
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| Published in: | 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2024; pp. 1 - 5 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding Journal Article |
| Language: | English |
| Published: |
United States
IEEE
01.07.2024
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| Subjects: | |
| ISSN: | 2694-0604, 2694-0604 |
| Online Access: | Get full text |
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