Brain-computer interfaces are nothing new, but researchers have managed to decode the neural signals associated with writing letter and then displayed the typed versions of these letters in real-time on a screen. The ultimate goal is to one day use this technology to help people with paralysis communicate by letting them rapidly type without using their hands. Read more for a video and additional information.
During their experiment, the study participant achieved 90 characters per minute, which is more than double the previous record for typing with such a brain-computer interface. This was made possible by using signals the sensors picked up from individual neurons when the participant imagined writing, while a machine learning algorithm recognized the patterns his brain produced with each letter. In other words, this person could copy sentences and answer questions at a rate similar to that of someone his age typing on a smartphone.
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It’s a big advancement in the field. This paper is a perfect example: the interface decodes the thought of writing and produces the action,” said Jose Carmena, a neural engineer at the University of California, Berkeley.
