EEG Classifier based on DEAP database

This repo only include code to proceed DEAP data, no data from DEAP contained!

For access of DEAP dataset, please sign EULA and send a request to DEAP team: http://www.eecs.qmul.ac.uk/mmv/datasets/deap/download.html

Dependency

• python >= 3.5
• numpy
• pyEEG: https://github.com/forrestbao/pyeeg, need manual fix of source code, refers to issue: https://github.com/forrestbao/pyeeg/issues/26
• scikit-learn
• tensorflow-gpu

ERD/ERS analysis

Fast Fourier Transformation:

• Windows size = 2 sec
• Windows step = 0.125 sec

Model attempted

• Support Vector Machine
• Adaboost
• Random Forest
• Artificial neural network

Best AC rate of Classification on Arousal, Valence, Domaince, Like dimension

• Arousal/Not: 82.6%
• Valence/Not: 83.6%
• Domaince/Not: 81.9%
• Like/Not: 85.1%