ARGP_Analysis

Repo for the post-processing and analysis of Pupil, Qualisys, and Unity data that make up the ARGP experience

Installation instructions:

• set up a python 3.9 environment, using your preferred method of environment building
• make sure the requirements are satisfied (only 4 libraries atm: numpy, matplotlib, pandas and seaborn)'
  • this might be handled by pycharm?
• and (in case it wasn't obvious), clone this repository and assign the python 3.9 environment as your interpreter

Demo Data

Warning: the demo should work but it hasn't been tested since early October 2022

• follow this URL to download a zip file containing all the demo files that you'll need
• this contains three files:
  1. 2022-08-29_Pilot_Data0002.tsv <- qualisys data as a .tsv file
  2. pupil_positions.csv <- pupil labs data, currently not used
  3. qualisys_dict.json <- the code will create this, but you can point your paths at this file on line 32 of main.py and save yourself time

Run Instructions:

1. fix your paths (lines 16-37 of main.py) so that your code is pointed at the correct data (see Demo Data)
2. put a breakpoint at line 42 in main.py
3. run main.py

the resulting output will be a frontal view of the 3D skeleton