dweidai / DEAP-JRP-Emotion-ClassificationLinks
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.
☆21Updated 5 years ago
Alternatives and similar repositories for DEAP-JRP-Emotion-Classification
Users that are interested in DEAP-JRP-Emotion-Classification are comparing it to the libraries listed below
Sorting:
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆47Updated 6 years ago
- Feature extraction for EEG signals☆29Updated 5 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆89Updated 6 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆59Updated 2 years ago
- ☆36Updated 6 years ago
- EEG Emotion classification using the DEAP pre-processed data☆163Updated 7 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆83Updated 4 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…☆59Updated 3 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆49Updated 7 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆120Updated 5 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 5 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆95Updated 7 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆93Updated 8 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 3 years ago
- ☆20Updated 5 years ago
- EEG emotion recognition based on Temporal convolutional network☆25Updated 6 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Updated 5 years ago
- ☆27Updated 7 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆81Updated 7 years ago
- Emotion Recognition using ML methods on the SEED dataset☆22Updated 6 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆116Updated 2 years ago
- Feature Extraction of Mental Load EEG signals☆60Updated 9 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆83Updated 5 years ago
- EEG Feeling Emotions Classification using LSTM☆13Updated 5 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆138Updated 4 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…☆132Updated 4 years ago
- Emotion recognition using DEAP dataset,GSR。☆39Updated 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…☆66Updated 2 years ago