A transformer-based deep neural network model for SSVEP classification
Steady-state visual evoked potential (SSVEP) is one of the most commonly used control signals in the brain-computer interface (BCI) systems. However, the conventional spatial filtering methods for SSVEP classification highly depend on the subject-specific calibration data. The need for the methods t...
Main Authors: | , , , , |
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Andre forfattere: | |
Format: | Journal Article |
Sprog: | English |
Udgivet: |
2023
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Fag: | |
Online adgang: | https://hdl.handle.net/10356/172792 |