This repository houses all the scripts necessary for analyzing the data associated with the paper "AI-ENHANCED MULTI-OBJECT TRACKING: TOWARD INDIVIDUALIZED COGNITIVE TRAINING." The data will become available alongside the published paper.
To begin, clone this repository using:
First install this repository:
git clone ...
This analysis requires Python 3. Make sure you have the correct version installed.
It is strongly advised to create and utilize a virtual environment to avoid conflicts.
For example, you can set up an environment with Conda:
conda install --env my_env
Next, activate your environment and install the necessary dependencies:
conda activate my_env
pip3 install -r requirements.txt
Your setup is now complete!
The project is organized into three primary directories:
-
analysis_scripts: This directory contains all scripts for performing the analysis.
- cognitive_battery: Scripts for analyzing cognitive battery data.
- questionnaires: Scripts for analyzing questionnaire data.
-
data: This directory is for storing all data gathered during our experiments.
-
outputs: This directory is for saving all analysis outputs.
-
To execute the full analysis, ensure your virtual environment is activated:
conda activate my_env
Then, run the main function in Python:
python main.py
You should see output in your console indicating that the scripts are executing.