@EsperBionics
#bionic #arm #prosthetic #robots
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Esper Bionics has developed a prosthetic arm with intuitive self-learning technology that can predict intended movement faster than similar prosthetics.
Esper Hand uses an electromyography-based brain-computer interface (BCI) a computer-based technology system that gathers brain activity or information to trigger movement.
When the wearer wants to control the hand, their brain sends impulses to specific muscles to activate them.
Over 30 non-invasive sensors that connect the stump socket to the wearer's skin pick up on this muscle activity or "electrical cues" and relay the information to trigger an action in the hand.
BCIs are often used by paralysis patients to control machines with just their thoughts.
Esper Hand has five movable digits and can rotate and grip in multiple ways, allowing the wearer to perform everyday tasks such as opening a bottle, driving a car, using kitchen utensils or tapping a phone screen.
The 380-gram arm is made from a combination of polyoxymethylene plastic, fluoroplastics, nylon, aluminium, steel, titan, bronze and three types different types of silicone. It comes in four sizes and five colours.
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