Krishna Shenoy and Paul Nuyujukian of Stanford University, a professor of electrical engineering and a postdoctoral fellow, respectively, have developed brain-sensing technology to read brain signals using a multi-electrode tray implant. This technology could allow those with movement disabilities to communicate more easily.
Reading brain signals would eliminate the need for other movement-tracking technologies which are often tiring and difficult to use, like those that track eye or muscle movement. Though 12 words per minute was the average in the latest round of testing, the result will likely be fewer words per minute due to uncontrolled environments, additional impairments, and the time spent constructing your response.
The team at Brain-Machine Interface initiative of the Stanford Neurosciences Institute will continue to develop the technology and run clinical trials on this life-changing technology.
Via: Stanford News
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