NZX23 / EEG-Emotion-Classification
Code to deploy a CNN to classify emotions using EEG Signals, based off the DEAP Dataset
☆11Updated last year
Alternatives and similar repositories for EEG-Emotion-Classification:
Users that are interested in EEG-Emotion-Classification are comparing it to the libraries listed below
- This repository contains information on emotion recognition from eeg signals using DEAP data set☆10Updated 3 years ago
- Feature selection for DEAP data☆8Updated 2 years ago
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆29Updated 2 years ago
- ☆30Updated 3 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆48Updated 2 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- ☆18Updated 4 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- ☆30Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆80Updated 7 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆52Updated last year
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 5 years ago
- ☆36Updated 6 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆83Updated 5 years ago
- Emotion recognition base on EEG.☆16Updated last year
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆45Updated 4 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆71Updated 3 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆47Updated 2 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆21Updated 4 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆37Updated last year
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆29Updated 4 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆38Updated 5 years ago
- Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of w…☆112Updated 3 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 6 months ago
- This is a final project for my 2019 Winter course "Pattern Recognition".☆25Updated 4 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆47Updated 2 months ago
- Feature extraction for EEG signals☆28Updated 5 years ago