MW-Detection

MW detection defines a CNN model to detect mind wandering (MW).

Current Version

V 1.0

Setup and Installation

Basic Dependencies:

1. Use MW-Data-Selection repository to generate data samples.
2. Store data samples in a folder.
3. Create a CSV file including two columns: first colmn containing the name of each data sample and labels to define the claas to which each sample belongs.

Installation Steps:

1. Download MW-Detection.py file
2. Creat a new project and add the downloaded file to your project. Import the following packages to your project interpreter: torch, torchvision, pandas, numpy, csv, tensorflow, skorch, and sklearn.
3. Excute the project.

Questions

sh0773@unt.edu