Computer Model Aids in Prosthetic Control

May-27-18 Teaching prosthetics to decode nerve signals based on computer models of movement offers a more natural way for people to learn to use the device.

Typically, learning to use a prosthetic hand requires on machine learning to teach the system what the twitches mean—a time-consuming and repetitive process. To offer a simpler process, teams from a pair of North Carolina universities created a musculoskeletal model that mimics the patient’s missing muscles, joints and bones to produce the prosthetic’s control signals. The model-controlled interface was tested on volunteers, who were able to quickly learn to use the device with very little training.

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[CO.UK]
[NEWS.NCSU.EDU]

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