https://massivesci.com/articles/brain-ma...xt-speech/
INTRO: You've probably been there: wanting to text someone quickly, but your hands are busy, maybe holding the groceries or cooking. Siri, Alexa, and other virtual assistants have provided one new layer of interaction between us and our devices, but what if we could move beyond even that? This is the premise of some brain-machine interfaces (BMIs). We covered these at Massive before, and some of the potentials and limitations surrounding them.
Using BMIs, people are able to move machines, and control virtual avatars without moving a muscle. This is usually done by accessing the region of the brain responsible for a specific movement and then decoding that electrical signal into something a computer can understand. One area that was still hard to decode, however, was speech itself.
But now, scientists from the University of California in San Francisco have now reported a way to translate human brain activity directly into text. Joseph Makin and their team used recent advances in a type of algorithm that deciphers and translates one computer language into another (one that is the basis for a lot of human language translation software). Based on those improvements in the software, the scientists designed a BMI that is able to translate a full sentence worth of brain activity into an actual written sentence... (MORE)
INTRO: You've probably been there: wanting to text someone quickly, but your hands are busy, maybe holding the groceries or cooking. Siri, Alexa, and other virtual assistants have provided one new layer of interaction between us and our devices, but what if we could move beyond even that? This is the premise of some brain-machine interfaces (BMIs). We covered these at Massive before, and some of the potentials and limitations surrounding them.
Using BMIs, people are able to move machines, and control virtual avatars without moving a muscle. This is usually done by accessing the region of the brain responsible for a specific movement and then decoding that electrical signal into something a computer can understand. One area that was still hard to decode, however, was speech itself.
But now, scientists from the University of California in San Francisco have now reported a way to translate human brain activity directly into text. Joseph Makin and their team used recent advances in a type of algorithm that deciphers and translates one computer language into another (one that is the basis for a lot of human language translation software). Based on those improvements in the software, the scientists designed a BMI that is able to translate a full sentence worth of brain activity into an actual written sentence... (MORE)