Abstract
There are many challenges to designing a prosthetic limb capable of restoring natural movements. One of these is that it should replicate the complex, time varying behavior of the original limb so as to restore natural interactions with the environment. Unfortunately, there are many experimental and computational challenges associated with obtaining accurate estimates of limb impedance during movement. Here we present a time-varying system identification algorithm suitable for this purpose, and demonstrate how it can be used to estimate the impedance of the human knee during time-varying conditions relevant to locomotion.
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