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UC Berkeley researchers have created a new device that can detect the hand gesture you want to make. It combines wearable biosensors with artificial intelligence software to help recognize what hand gesture a person intends to make, whether a high-five or a thumbs-up. It does this by reading the electrical signal patterns in the forearm. The device will allow for better prosthetic control and seamless interaction with electronic devices.

Ali Moin helped design the device as a doctoral student in UC Berkeley’s Department of Electrical Engineering and Computer Sciences. Andy Zhou is co-first author of this paper and other authors include Abbas Rahimi, Alisha Menon, George Alexandrov, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan and Fred Burghardt of UC Berkeley, Simone Benatti of the University of Bologna, and Luca Benini of ETH Zürich and the University of Bologna.

UC Berkeley researchers have created a new device that can detect the hand gesture you want to make. It combines wearable biosensors with artificial intelligence software to help recognize what hand gesture a person intends to make, whether a high-five or a thumbs-up. It does this by reading the electrical signal patterns in the forearm. The device will allow for better prosthetic control and seamless interaction with electronic devices.

Ali Moin helped design the device as a doctoral student in UC Berkeley’s Department of Electrical Engineering and Computer Sciences. Andy Zhou is co-first author of this paper and other authors include Abbas Rahimi, Alisha Menon, George Alexandrov, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan and Fred Burghardt of UC Berkeley, Simone Benatti of the University of Bologna, and Luca Benini of ETH Zürich and the University of Bologna.

UC Berkeley researchers have created a new device that can detect the hand gesture you want to make. It combines wearable biosensors with artificial intelligence software to help recognize what hand gesture a person intends to make, whether a high-five or a thumbs-up. It does this by reading the electrical signal patterns in the forearm. The device will allow for better prosthetic control and seamless interaction with electronic devices.

Ali Moin helped design the device as a doctoral student in UC Berkeley’s Department of Electrical Engineering and Computer Sciences. Andy Zhou is co-first author of this paper and other authors include Abbas Rahimi, Alisha Menon, George Alexandrov, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan and Fred Burghardt of UC Berkeley, Simone Benatti of the University of Bologna, and Luca Benini of ETH Zürich and the University of Bologna.UC Berkeley researchers have created a new device that can detect the hand gesture you want to make. It combines wearable biosensors with artificial intelligence software to help recognize what hand gesture a person intends to make, whether a high-five or a thumbs-up. It does this by reading the electrical signal patterns in the forearm. The device will allow for better prosthetic control and seamless interaction with electronic devices.

Ali Moin helped design the device as a doctoral student in UC Berkeley’s Department of Electrical Engineering and Computer Sciences. Andy Zhou is co-first author of this paper and other authors include Abbas Rahimi, Alisha Menon, George Alexandrov, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan and Fred Burghardt of UC Berkeley, Simone Benatti of the University of Bologna, and Luca Benini of ETH Zürich and the University of Bologna.

UC Berkeley researchers have created a new device that can detect the hand gesture you want to make. It combines wearable biosensors with artificial intelligence software to help recognize what hand gesture a person intends to make, whether a high-five or a thumbs-up. It does this by reading the electrical signal patterns in the forearm. The device will allow for better prosthetic control and seamless interaction with electronic devices.

Ali Moin helped design the device as a doctoral student in UC Berkeley’s Department of Electrical Engineering and Computer Sciences. Andy Zhou is co-first author of this paper and other authors include Abbas Rahimi, Alisha Menon, George Alexandrov, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan and Fred Burghardt of UC Berkeley, Simone Benatti of the University of Bologna, and Luca Benini of ETH Zürich and the University of Bologna.

UC Berkeley researchers have created a new device that can detect the hand gesture you want to make. It combines wearable biosensors with artificial intelligence software to help recognize what hand gesture a person intends to make, whether a high-five or a thumbs-up. It does this by reading the electrical signal patterns in the forearm. The device will allow for better prosthetic control and seamless interaction with electronic devices.

Ali Moin helped design the device as a doctoral student in UC Berkeley’s Department of Electrical Engineering and Computer Sciences. Andy Zhou is co-first author of this paper and other authors include Abbas Rahimi, Alisha Menon, George Alexandrov, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan and Fred Burghardt of UC Berkeley, Simone Benatti of the University of Bologna, and Luca Benini of ETH Zürich and the University of Bologna.