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FAU Engineers Develop Prosthetic Hand That Learns and Adapts to Each User
['Ashton Henning']
Industry Tap
By: |Researchers at Florida Atlantic University have developed a prosthetic hand control system that uses custom 3D-printed sensors and individualized artificial intelligence models to adapt to each user’s muscle patterns.
Muscle signals can shift because of sweat, skin changes or everyday motion, making control less intuitive for users.
These sensors rest against the skin and capture small changes in muscle shape and pressure as the user attempts hand and wrist movements.
FAU said the system maintained stable signals, accurate pressure capture and repeatable performance, with no meaningful drift or degradation.
“Prosthetic control is not one-size-fits-all.