Skip to content

Statistical comparison study of valence-arousal classifiers from EEG signals on DEAP and MANHOB datasets

Notifications You must be signed in to change notification settings

riggraz/valence-arousal-classification-from-eeg

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 

Repository files navigation

Statistical Comparison of Valence-Arousal Classifiers from EEG on DEAP and MANHOB Datasets

This repository contains pretrained models, code and a report about a statistical study on different valence-arousal classifiers from EEG (Electroencephalography) signals on DEAP and MAHNOB datasets.

The report compares two classifiers (a deep neural network and a convolutional neural network) against DEAP and MAHNOB, and evaluates if there is a significant difference in performance between the two methods using some statistical tests (like McNemar's test and 5x2cv test).

Project structure

Project structure is explained in Section 7 of the report.

About

Statistical comparison study of valence-arousal classifiers from EEG signals on DEAP and MANHOB datasets

Topics

Resources

Stars

Watchers

Forks

Languages