This repo contains code to process and visualise metrics derived from accelerometer data, such as step count. The simplest version is a step count competition between two teams, team black and team teal, where the team with the highest median steps wins. However, you can come up with more nuanced comparisons.
To run run.sh, which processes the black/ and teal/ folders of accelerometer files (.cwa), you need to install stepcount. I have found that some of the package versions needed for stepcount conflict with those used to run the visualise.py script, so I would recommend having separate conda environments to run stepcount and to run the visualisation script.
To run the visualise.py script, you need:
- numpy
- matplotlib
- pandas