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IMAGE: UC Berkeley researchers have created a new device that combines wearable biosensors with artificial intelligence software to help recognize what hand gesture a person intends to make based on electrical.
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Credit: Image courtesy the Rabaey Lab
Berkeley Imagine typing on a computer without a keyboard, playing a video game without a controller or driving a car without a wheel.
That s one of the goals of a new device developed by engineers at the University of California, Berkeley, that can recognize hand gestures based on electrical signals detected in the forearm. The system, which couples wearable biosensors with artificial intelligence (AI), could one day be used to control prosthetics or to interact with almost any type of electronic device. ....

United States , Donaldo Pedersen , Abbas Rahimi , Fred Burghardt , Yasser Khan , Ali Moin , Luca Benini , Mandy Zhou , George Alexandrov , Alisha Menon , Natasha Yamamoto , Senam Tamakloe , Jan Rabaey , Simone Benatti , University Of California , Research Laboratory , Nature Electronics , Computer Sciences , Research Center , National Science Foundation Graduate Research Fellowship , Uc Berkeley Department Of Electrical Engineering , Flexible Hybrid Electronics Manufacturing Innovation Institute , Semiconductor Research Corporation , University Of Bologna , Berkeley Wireless Research Center , Electrical Engineering ,