This article discusses practical and theoretical aspects of real-time brain computer interface control methods based on Bayesian statistics. We investigate and improve the performance of automatic control and feedback algorithms of a reactive brain computer interface based on a visual oddball paradigm for faster statistical convergence. We introduce transfer learning using Gaussian mixture models, enabling a ready-to-use setup.
@article{arxiv.2310.07408,
title = {Automatic Control of Reactive Brain Computer Interfaces},
author = {Pex Tufvesson and Frida Heskebeck},
journal= {arXiv preprint arXiv:2310.07408},
year = {2023}
}
Comments
The authors contributed equally and share first authorship