[DEPRECATED] Emotion Recognition and Classification based on DEAP dataset

DISCLAIMER: I no longer have access to the dataset (per 2022), and this repository is no longer maintained.

This repo contains jupyter notebook file (.ipnyb) for the emotion recognition task.

Background

How we can use brainwaves (EEG) to classify human emotion into four categories:

• High Valence High Arousal,
• Low Valence High Arousal
• High Valence Low Arousal
• Low Arousal Low Valence

Technology Stacks Used

Data Exploration and Signal Processing

1. pyeeg
2. scipy
3. scikit-learn

Classification

1. tensorflow: 1DCNN, LSTM, GRU

Link to my paper

https://www.researchgate.net/publication/357358169_Emotion_Classification_using_1D-CNN_and_RNN_based_On_DEAP_Dataset

Dataset used:

"DEAP: A Database for Emotion Analysis using Physiological Signals", S. Koelstra, C. Muehl, M. Soleymani, J.-S. Lee, A. Yazdani, T. Ebrahimi, T. Pun, A. Nijholt, I. Patras, IEEE Transactions on Affective Computing, Special Issue on Naturalistic Affect Resources for System Building and Evaluation, in press

How to get the dataset

• https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html
• https://www.eecs.qmul.ac.uk/mmv/datasets/deap/download.html