Humans use multi-objective control to regulate lateral foot placement when walking
Jonathan B. Dingwell; Joseph P. Cusumano · 2019 · PLoS Computational Biology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
A fundamental question in human motor neuroscience is to determine how the nervous system generates goal-directed movements despite inherent physiological noise and redundancy. Walking exhibits considerable variability and equifinality of task solutions. Existing models of bipedal walking do not yet achieve both continuous dynamic balance control and the equifinality of foot placement humans exhibit. Appropriate computational models are critical to disambiguate the numerous possibilities of how to regulate stepping movements to achieve different walking goals. Here, we extend a theoretical and
Abstract by Jonathan B. Dingwell; Joseph P. Cusumano, PLoS Computational Biology (2019) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1371/journal.pcbi.1006850