dolphin-in-a-coma / multi-task-cnn-eeg-emotion
Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.
☆51Updated last year
Alternatives and similar repositories for multi-task-cnn-eeg-emotion:
Users that are interested in multi-task-cnn-eeg-emotion are comparing it to the libraries listed below
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆35Updated 5 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…☆43Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆66Updated 3 years ago
- ☆31Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆28Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆50Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆64Updated 2 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆42Updated last year
- EEG-based emotion classification using DEAP dataset☆125Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆57Updated last year
- My master thesis about emotion recognition from EEG data with a time series transformer☆23Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆73Updated last year
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆30Updated 2 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆80Updated 5 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 3 months ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆51Updated 3 years ago
- EEG-Based Emotion Recognition☆48Updated 7 months ago
- 脑电情绪识别☆13Updated 2 years ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆23Updated 10 months ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆45Updated 5 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆66Updated 2 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆121Updated 3 years ago
- ☆13Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆94Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆19Updated 4 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆18Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆62Updated 5 months ago