Pose Analysis Toolbox (PAT)

Overview

A hackathon project initiated at MIND 2019 at Dartmouth College.

High level idea: Create useful functions that preprocess, analyze, and visualize OpenPose data. Can be used to predict and generate taxonomy of social and non-social poses and interactions.

Presentation

Link to presentation goes here.

Installation.

1. Clone the repository.
2. Install in development mode

pip install -e .

3. Check out the example notebook notebooks/Examples.ipynb
4. For more data, download the Sherlock OpenPose data and extract to notebooks/output/json.

Features

• Load data
• Plot and inspect data
• Extract just the pose_2d keypoints
• Filter based on personid
• Extract Distance Matrix across keypoints
• Normalize keypoints to common space. Scale, rotate?.
• Extract Entropy.
• Extract Synchrony.
• Extract Center of Mass per frame.
• Example of comparing distance between 2 or multiple people.
• Extract Velocity across frame.
• Extract Acceleration across frame.

Reference

https://github.com/CMU-Perceptual-Computing-Lab/openpose
https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/output.md