A man who can't physically talk simply needed to think out letters to spell his intended words.
, demonstrates how a a patient can now “type” from a roughly 1,150 word vocabulary bank at a speed of about 29 characters per minute , with a 94 percent accuracy rate by simply thinking., its capabilities were then far more restricted than the current iteration, and relied on a patient attempting to vocally speak words which were then translated by a computer system.“Neuroprostheses have the potential to restore communication to people who cannot speak or type due to paralysis.
To tackle this issue, the team utilized deep machine learning and language modeling techniques to decode letter sequences from the test patient as they silently spell via the NATO alphabet . “The NATO phonetic alphabet was developed for communication over noisy channels,” one of the study’s co-authors toldthis week. “That’s kind of the situation we’re in, where we’re in this noisy environment of neural recordings.” When the patient thinks the code words, algorithms translate the brain activity via a network of 128 electrodes previously laid across his brain’s surface, particularly atop a region controlling vocal tract muscles and an area involved in hand movements.
For now, the device requires a wired connection to operate, but researchers are hopeful to one day transition to a completely wireless interface. They additionally believe there is potential to combine the abilities developed during both the previous experimentation and their most recent one to create a system that can work for both vocal and thought-based speaking attempts.Andrew Paul is Popular Science's staff writer covering tech news. Previously, he was a regular contributor to The A.V.
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