Brain-computer-interfaces
I. Introduction to Steady State Visual Evoked Potentials (SSVEP) based Brain-Computer Interfaces (BCI)
II. Classification using:
- Canonical Correlation Analysis (CCA)
- Magnitude Spectrum Features and Convolutional Neural Networks (M-CNN)
- Complex Spectrum Features and Convolutional Neural Networks (C-CNN)
Additional Information and similar other studies can be found in my Masters Thesis: https://uwspace.uwaterloo.ca/handle/10012/14881
Dataset Reference: 12-Class publicly available SSVEP EEG Dataset Dataset URL: https://github.com/mnakanishi/12JFPM_SSVEP/tree/master/data
Please cite the following article: https://iopscience.iop.org/article/10.1088/1741-2552/ab6a67/pdf
@article{10.1088/1741-2552/ab6a67, author={Aravind Ravi and Nargess Heydari Beni and Jacob Manuel and Ning Jiang}, title={Comparing user-dependent and user-independent training of CNN for SSVEP BCI}, journal={Journal of Neural Engineering}, url={https://iopscience.iop.org/article/10.1088/1741-2552/ab6a67}, year={2020}, }