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Predicting fall risk using multiple mechanics-based metrics for a planar biped model
For both humans and robots, falls are undesirable, motivating the development of fall prediction models. Many mechanics-based fall risk metrics have been proposed and validated to varying degrees, including the extrapolated center of mass, the foot rotation index, Lyapunov exponents, joint and spati...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042378/ https://www.ncbi.nlm.nih.gov/pubmed/36972264 http://dx.doi.org/10.1371/journal.pone.0283466 |