California, May 20: Researchers at the University of California, San Diego, discovered a way to identify people s hand movements by reviewing only data from noninvasive brain imaging, rather than information from the hands themselves. The findings represent an early step towards constructing a non-invasive brain-computer interface that could one day allow individuals with paralysis, amputated limbs, or other physical problems to use their minds to control a device that aids in daily tasks.
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When Alberto Ribas espresso machine went caput after only a few years of use, rather than toss it out, he brought the appliance to a local Repair Cafe event, where volunteer "fixers" bring new life to old appliances for free.
Researchers from University of California San Diego have found a way to distinguish among hand gestures that people are making by examining only data from noninvasive brain imaging, without information from the hands themselves. The results are an early step in developing a noninvasive brain-computer interface that may one day allow patients with paralysis, amputated limbs or other physical challenges to use their mind to control a device that assists with everyday tasks.
When Alberto Ribas espresso machine went caput after only a few years of use, rather than toss it out, he brought the appliance to a local Repair Cafe event, where volunteer "fixers" bring new life to old appliances for free.