We present a new method for spatiotemporal assignment and scheduling of energy
harvesters on a medical shoe tasked with measuring gait diagnostics. While prior
work exists on the application of dielectric elastomers (DEs) for energy scavenging
on shoes, current literature does not address the issues of placement and timing of
these harvesters, nor does it address integration into existing sensing systems. We
solve these issues and present a self-sustaining medical shoe that harvests energy
from human ambulation while simultaneously measuring gait characteristics most
relevant to medical diagnosis.