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GitHub / sergiorivera50 / bayesian-crutch-geometries

This repository presents our research on optimizing crutch designs using Gaussian Processes (GPs) and Bayesian Optimization (BO). We introduce a novel loss function that blends subjective (pain, instability, effort) and objective measures, leading to a personalized, more efficient, and comfortable crutch design.

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Fork of DeeproChoudhury/crutch-simulation
Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 38.5 MB
Dependencies: pending

Created: 5 months ago
Updated: 5 months ago
Last pushed: 5 months ago
Last synced: 5 months ago

Topics: bayesian-optimization, gaussian-processes, sensitivity-analysis

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