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Automatic analysis of upper limb movements: detecting orthopedic anomalies from videos of patients doing pre-medicated exercises

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limb-analysis

Setup

  1. Set up passwordless ssh login to [email protected] (or any server where AlphaPose is installed). Follow instructions at https://linuxize.com/post/how-to-setup-passwordless-ssh-login/
  2. Install opencv in a python 3.8 environment
conda create -n env python=3.8
conda activate env
pip install opencv-python

Usage

  1. Comparing angles at shoulder and elbow in 2 videos
python3 compare_vids.py <path to video file 1> <path to video file 2>
  1. Obtaining joint data from AlphaPose
python3 get_data.py <path to video file>

Results will be saved in results-<video name> directory in .json format, as given at https://github.com/MVIG-SJTU/AlphaPose/blob/master/docs/output.md

  1. Obtaining angles at shoulder and elbow from json
python3 check_angles.py <path to json file>

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Automatic analysis of upper limb movements: detecting orthopedic anomalies from videos of patients doing pre-medicated exercises

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