Utilizing statistical analysis for motion imagination classification in brain-computer interface systems.

In this study, we introduce a novel Field-Agnostic Riemannian-Kernel Alignment (FARKA) method to advance the classification of motion imagination in Brain-Computer Interface (BCI) systems. BCI systems enable direct control of external devices through brain activity, bypassing peripheral nerves and m...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	PLoS ONE
المؤلفون الرئيسيون:	Yang Li, Jingyu Zhang
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Public Library of Science (PLoS) 2025-01-01
الوصول للمادة أونلاين:	https://doi.org/10.1371/journal.pone.0327121

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