EEG Project Example: EEG Face Detection

Forked from Team 43 Final Project from UCSD's COGS 189, Winter 2020.
Trains a classifier to detect whether a person wearing a neurosky is looking at a face or not.
Project Video: https://youtu.be/D19iJD4dJWI

Project Structure

• Data_Analysis: Contains the data and code to visualize / process the data.
• PsychoPy_code: Files regarding experimental set up, including images.
• mindwave_code: Raw eeg collection code.

Recording Data

• Install Lab Recorder from LSL https://github.com/sccn/lsl_archived/wiki/LabRecorder.wiki
• Install Python Packages (you'll need to go through the code to see which packages are imported and that you don't have)
• Run the PsychoPy Experiment:
  • Start Lab Recorder
  • change directory into the PsychoPy_code folder
  • python PsychoRun.py
• Run the NeuroSky Raw EEG collector:
  • change directory into the mindwave_code folder
  • python LSLCollectRawData.py
• Select the LSL streams (your EEG stream + PsychoPy markers stream) in Lab Recorder to start recording
• Rename the filename to participant_%p_block_%s.xdf and put the participant# in the Participant field, and session# in the Session field.
• Press "Start" in Lab Recorder
• Put participant# and session# in the popup box from PsychoPy and Run!

Viewing Data

• Move the data you just recorded into Data_Analysis/data/
• Run Jupyter Notebook and go to the Data_Analysis folder.
• Open .ipynb files and you can use any of the functions in helperFunctions.py or constants.py