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Exploring how to infer VR users' affective states from their EEG activity in real-time. We used supervised learning and conducted the experiment in Virtual Reality. Two feature selection methods are compared.

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Affect detection

Instructions

  1. Clone this repository:
git clone [email protected]:aepinilla/affect_detection.git
  1. Download the 'data.zip' file from the OSF repository of the study: https://osf.io/7v9kt/
  2. Unzip data.zip and place it at the root of the folder you just cloned.
  3. Using the terminal, go to the root of the 'affect_detection' folder and run the following command:
python main.py

Preprocessing

The 'data' folder contains data that has been already preprocessed. To replicate the preprocessing steps, follow these instructions:

  1. Install Matlab.
  2. Install EEGLAB following these instructions: https://eeglab.org/tutorials/01_Install/Install.html
  3. Transform XDF files to CSV for faster processing:
python xdf_to_csv.py
  1. Open EEGLAB in Matlab and run the preprocessing script located at affect_detection/src/preprocessing.m

Reports

All files generated by main.py will be stored in the 'reports' folder. In a MacBook Pro, it took several hours to run the program. If you want to skip that, download the 'reports.zip' file available in the OSF repository: https://osf.io/7v9kt/

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Exploring how to infer VR users' affective states from their EEG activity in real-time. We used supervised learning and conducted the experiment in Virtual Reality. Two feature selection methods are compared.

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