There remains human arm functionality that is a challenge to achieve with classical control paradigms, and yet is well-suited for automation—like repetitive motions, and the simultaneous coordination of multiple degrees-of-freedom.
This project introduces an extension to classical control paradigms for upper limb myoelectric prostheses. Our paradigm introduces automated controllers to handle the execution of such motions, and then uses EMG to modulate the functional parameterization a controller online—effectively shaping the execution of the automated motion [5].
Funding source: Center for Engineering and Health, Northwestern University.
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