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Personalized Balance Evaluation Method Proposed for Hip Exoskeleton Walking
Researchers present a participant-specific framework for assessing dynamic balance in people walking with hip exoskeleton assistance, including trials that involve unexpected ground perturbations. The approach aims to handle the challenges of small, noisy human-in-the-loop datasets, since balance is a multidimensional quantity that is hard to personalize with conventional methods. The work appears as an arXiv preprint in machine learning.