An interpretable machine learning approach to sway-metric based fall-risk assessment. For Queen's University's ELEC 872 (AI and Intelligent Systems) final project.
-
Updated
Mar 21, 2024 - Jupyter Notebook
An interpretable machine learning approach to sway-metric based fall-risk assessment. For Queen's University's ELEC 872 (AI and Intelligent Systems) final project.
Analyzing passive dynamic walking behavior in the context of both falling and non-falling trials, simulating slipping and tripping scenarios.
Predicting fall risk in older adults
Add a description, image, and links to the fall-risk topic page so that developers can more easily learn about it.
To associate your repository with the fall-risk topic, visit your repo's landing page and select "manage topics."