tongdaxu/EEG_Emotion_Classifier_DEAP

EEG Emotion classification using the DEAP pre-processed data

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: forrestbao/pyeeg#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%