Single Brain Implant Enables Simultaneous Speech and Gesture Decoding in Paralysis
Researchers at the University of California, San Francisco, have demonstrated that a single high-density electrocorticography implant can simultaneously decode intended speech and hand gestures in individuals with paralysis. By training machine learning models on both isolated and concurrent behavioral data, the system achieved high accuracy in controlling a personalized virtual avatar. This proof-of-concept suggests that future brain-computer interfaces could restore natural, multimodal communication for patients who have lost both vocal and motor function.
