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Andrew Rubin is sitting with the Surface tablet, watching a skeletal hand on the screen squeeze and unclench the fingers. Ruby had his right hand amputated a year ago, but he repeats these movements with the help of a special device attached to his shoulder. 3r376.  
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The electrodes on his arm are connected to a box that records sequences of nerve signals, which allows Rubin to train the prosthesis to act like a real hand. “When I think of squeezing the fingers, it causes a contraction of certain muscles in the forearm,” he says. “The program recognizes sequences that occur when I bend or pull a hand that I don’t have.” 3r376.  
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A 49-year-old college professor from Washington, DC, several times a month goes to a startup Infinite Biomedical Technologies, using depth learning algorithms to recognize signals in his shoulder that correspond to different hand movements. 3r376.  
RFID ) So that people without limbs can paste them on door handles, kitchen appliances and other household objects — useful devices that require certain grippers. The idea is that the controller in the prosthesis recognizes the RFID signal, and automatically replaces the grip, with, say, one that is required to rotate the door handle, with the one needed to take the newspaper. According to Kaliki, the project is being developed with financial support from the National Institutes of Health. 3r376.  
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These technologies are still new and unavailable for everyone. It takes a lot of training to learn how to use them, and, of course, not all insurance companies will pay for the most complex prostheses or new control systems. However, patients such as Andrew Rubin hope that many of these breakthroughs will appear soon enough. So far, if he needs to take a cup, and then open the door, he has to use the application for the smartphone every time he needs to change the grip on the prosthesis. 3r376.  
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“This is a slow process, and I think that we will eventually come up with something that will allow me not to rely on the phone to change the grip,” he says. Rubin says he likes to train weekly at the Infinite office in Baltimore, as well as at the Johns Hopkins University bioengineering laboratory, which develops a glove that can feel pain like a real hand. But Rubin - suffering from an infection with sepsis, and having survived a leg amputation a few years ago - I would like to go to the point where he could use his right hand to release the bolt on his mirror, balance the plate or even write with a pen. And he, as the first person to experience at home a new sequence recognition system from Infinite, is not too far from this point. 3r3384.
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