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+# 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%