In a first-of-its-kind achievement for EEG-based BCI researchers employed a real-time, non-invasive robotic control system that utilized movement execution and motor imagery of individual finger movements to drive corresponding robotic finger motions. Just by thinking about it, human subjects were able to successfully perform two- and three-finger control tasks.
This was accomplished with the assistance of a novel deep-learning decoding strategy and a network fine-tuning mechanism for continuous decoding from non-invasive EEG signals. The goal moving forward is to build on this work to achieve more refined finger-level tasks, for instance, typing.
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