The research collaboration BrainGate has developed a brain-computer interface (BCI) using artificial intelligence that interprets neural activity generated during handwriting and translates that data to text.
To test the technology, researchers implanted the BCI device into the brain of a subject with paralysis that records signals of brain activity. An external computer then interprets the signals using an AI algorithm to decode the subject’s visual language, which traces letters of the alphabet and basic punctuation marks. In tests, subjects were able to achieve writing speeds of 90 characters per minute with approximately 94% accuracy.
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