Kinematic coordinations capture learning during human-exoskeleton interaction.

ABSTRACT: Human-exoskeleton interactions have the potential to bring about changes in human behavior for physical rehabilitation or skill augmentation. Despite significant advances in the design and control of these robots, their application to human training remains limited. The key obstacles to the design of such training paradigms are the prediction of human-exoskeleton interaction effects and the selection of interaction control to affect human behavior. In this article, we present a method to elucidate behavioral changes in the human-exoskeleton system and identify expert behaviors correlated with a task goal. Specifically, we observe the joint coordinations of the robot, also referred to as kinematic coordination behaviors, that emerge from human-exoskeleton interaction during learning. We dem

SUBMITTER: Ghonasgi K 

PROVIDER: S-EPMC10293206 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature