Skill Acquisition in Prosthesis Force Control with Supplementary EMG Feedback
AbstractSupplementary feedback interfaces for myoelectric prostheses enable users to learn, plan and execute the movements for controlling their prostheses. The ability to execute these movements reliably and accurately - 'skill,' can be studied by assessing speed-accuracy trade-offs (SAF). Here we used the SAF framework to empirically investigate skill acquisition with a closed-loop interface that uses EMG feedback, during a functional prosthesis force-control task. Preliminary results suggest that over 3 days the SAF shifts vertically upwards, while its shape remains consistent. Faster grasping remained less accurate compared to when participants used the supplementary feedback to carefully guide their behavior. We believe that studying the SAF not only enables us to quantify skill acquisition or learning effects, but also to more broadly understand the performance characteristics of closed-loop user-prosthesis interfaces.
How to Cite
P. Mamidanna, S. Gholinezhad, J. Dideriksen, and S. Dosen, “Skill Acquisition in Prosthesis Force Control with Supplementary EMG Feedback”, MEC Symposium, Aug. 2022.
Myo Control and Sensory Feedback Implementations