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%