/DEAP-JRP-Emotion-Classification

Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient and high accuracy method for emotion classification using EEG data regardless of number of channels.

Primary LanguageJupyter Notebook

This is computed using recurrence plot and currently abandoned due to no significant improvement.
However, maybe with LSTM and GAN could improve the accuracy

Preprocessed DEAP mat files and DEAP.ced are required for ICADEAP.m
 -> which will create ICA components and back-project them to the channel
 -> They will be stored as .set with .fdt files
Then run .set with SETtoMAT.m to take the EEG Channel data
 -> which will be used to generate ImageData
 -> They will be stored as .mat files

Python Packages:
 numpy, sklearn, pyunicorn, glob, os, matplotlib, PIL, pandas, random, pytorch, torch, scipy, nolitsa
 
Matlab Packages:
 EEGLAB