Oburah-Peter/cross-subject-eeg-domain-adaptation

This repository is a three-day-old implementation of Correlation Alignment (CORAL), a well-established domain adaptation technique first popularized around 2016. With 0 stars and 0 forks, it currently represents a personal experiment or a pedagogical exercise rather than a defensible software project. The primary challenge in BCI (Brain-Computer Interface) is indeed inter-subject variability, but CORAL is a 'classic' shallow method that has largely been superseded by Deep Domain Adaptation (DANN, ADDA) and Riemannian geometry-based approaches in the research community. Established frameworks like MOABB (Mother of All BCI Benchmarks) and Braindecode already provide robust, well-tested implementations of these and more advanced algorithms. There is no technical moat here; the code is a standard application of covariance matching to EEG manifolds. Frontier labs are unlikely to compete directly as BCI remains a specialized hardware-dependent niche, but the project faces immediate displacement by more mature academic libraries.