Surgically implanted brain-computer interface enables precise finger control in paralysis patient, unlocking potential for social and leisure activities like video gaming Study: A high-performance ...

The researchers used machine learning to analyze the participants' finger movements as they made grasping motions. Both groups of participants had normal IQ and were matched on age and intelligence.

Early detection of even the slightest motor function changes can be critical to slowing the progression of Parkinson's disease. Yet these subtle signs often go unnoticed. Now, UF researcher Diego L.

Researchers researchers bring noninvasive EEG-based BCI one step closer to everyday use by demonstrating real-time brain decoding of individual finger movement intentions and control of a dexterous ...