Students at NYU’s Interactive Telecommunications Program (ITP) showed off an array of innovative media projects this week at their annual Spring show. But one project in particular caught my eye: an API that allows you to control another person’s arm over the internet.
Will Canine, Carl Jamilkoski, and Andy Sigler, all graduate students at ITP, created an open API platform that bypasses the nervous system and triggers muscle movement in a person hooked up with muscles sensors. They did so by hacking an “off-the-shelf” neuro stimulator unit and splitting its output so that it could be controlled with any interface, such as a keyboard, joystick or LEAP sensor.
In order to demonstrate their innovation for the show, the students fitted a fake skeleton’s arm with sensors that, when curled, also curled the arm of a person attached with electric muscle pads.
“We’ve been really interested in non-autonomous body control, so other people controlling your body,” explained Canine, who allowed
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