Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework. (arXiv:2012.13567v7 [cs.LG] UPDATED)

A conventional brain-computer interface (BCI) requires a complete data
gathering, training, and calibration phase for each user before it can be used.
In recent years, a number of subject-independent (SI) BCIs have been developed.
Many of these methods yield a weaker performance compared to the
subject-dependent (SD) approach, and some are computationally expensive. A
potential real-world application would greatly benefit from a more accurate,
compact, and computationally efficient subject-independent BCI. In this work,
we propose a novel subject-independent BCI framework, …

arxiv bci framework independent