Using human-in-the-loop optimization for guiding manual prosthesis adjustments: a proof-of-concept study.

ABSTRACT: Introduction: Human-in-the-loop optimization algorithms have proven useful in optimizing complex interactive problems, such as the interaction between humans and robotic exoskeletons. Specifically, this methodology has been proven valid for reducing metabolic cost while wearing robotic exoskeletons. However, many prostheses and orthoses still consist of passive elements that require manual adjustments of settings. Methods: In the present study, we investigated if human-in-the-loop algorithms could guide faster manual adjustments in a procedure similar to fitting a prosthesis. Eight healthy participants wore a prosthesis simulator and walked on a treadmill at 0.8 ms^-1 under 16 combinations of shoe heel height and pylon height. A human-in-the-loop optimization algori

SUBMITTER: Senatore SC 

PROVIDER: S-EPMC10394618 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature