avakanski / A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises

A framework for quality assessment of exercises in physical rehabilitation based on skeletal joint displacements collected with a motion capture system.

Date Created 2020-01-22 (5 years ago)

Commits 113 (last one about a year ago)

Stargazers 57 (0 this week)

Watchers 4 (0 this week)

Forks 19

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RepositoryStats indexes 634,026 repositories, of these avakanski/A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises is ranked #450,520 (29th percentile) for total stargazers, and #366,578 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,883/19,116.

avakanski/A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises is also tagged with popular topics, for these it's ranked: deep-neural-networks (#535/656)

All Topics

movement-modeling deep-neural-networks spatio-temporal-models physical-rehabilitation

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1 commits on the default branch (master) since jan '22

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updated: 2025-03-01 @ 01:46am, id: 235675021 / R_kgDODgwdjQ