Real-Time grasp type estimation for a robotic prosthetic hand
For lower arm amputees, prosthetic hands promise to restore most of physical interaction capabilities. This requires to accurately predict hand gestures capable of grabbing varying objects and execute them timely as intended by the user. Current approaches often rely on physiological signal inputs...
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Online Access: | http://hdl.handle.net/2047/D20410366 |