Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43078-7_47
Reference13 articles.
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2. Gembler, F., et al.: A dictionary driven mental typewriter based on code-modulated visual evoked potentials (cVEP). In: Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, pp. 619–624. IEEE (2018). https://doi.org/10.1109/SMC.2018.00114
3. Gembler, F., Volosyak, I.: A novel dictionary-driven mental spelling application based on code-modulated visual evoked potentials. Computers 8(2) (2019). https://doi.org/10.3390/computers8020033
4. Gembler, F.W., Rezeika, A., Benda, M., Volosyak, I.: Five shades of grey: exploring quintary m -sequences for more user-friendly c-VEP-based BCIs. Comput. Intell. Neurosci. 2020 (2020). https://doi.org/10.1155/2020/7985010
5. Ladouce, S., Darmet, L., Torre Tresols, J.J., Velut, S., Ferraro, G., Dehais, F.: Improving user experience of SSVEP BCI through low amplitude depth and high frequency stimuli design. Sci. Rep. 12(1), 1–12 (2022). https://doi.org/10.1038/s41598-022-12733-0
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