NYCU CSIC30014 Lab2: EEG Classification with EEGNet (87%+ accuracy, optimized hyperparameters, BCI Competition III dataset)
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Updated
Oct 30, 2025 - HTML
NYCU CSIC30014 Lab2: EEG Classification with EEGNet (87%+ accuracy, optimized hyperparameters, BCI Competition III dataset)
A paper titled 'Prospects of brain-computer interfaces in communication for disabled children' submitted to the Waynflete Studies program.
A framework to synthsize Brain data using AI models
Interactive graphs of the dielectric properties of body tissues
Towards Turnkey Brain-Computer Interfaces
Based on OpenBCI_Processing, OpenBCI_GUI_v2.0 extends the GUI to include additional features, and will soon be usable with the Ganglion board.
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