Mozartuss / DEAP-Emotion-Recognition
Emotion Recogniton LSTM RNN Arousal Valence
☆50Updated 2 years ago
Alternatives and similar repositories for DEAP-Emotion-Recognition:
Users that are interested in DEAP-Emotion-Recognition are comparing it to the libraries listed below
- 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…☆51Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆68Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆54Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- 脑电情绪识别☆13Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆53Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆138Updated 2 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆85Updated 5 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆91Updated last year
- 在 SEED 数据集上做 EEG 情绪识别☆109Updated 4 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆106Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆106Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆117Updated last year
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆69Updated 5 months ago
- ☆30Updated 2 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…☆115Updated 4 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- Emotion recognition based on DEAP dataset using One-Dimensional CNN, dan RNN (GRU, and LSTM).☆16Updated 3 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆18Updated 4 months ago
- A fundamental exploration about EEG-BCI emotion recognition using the SEED dataset & dataset from kaggle.☆10Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 7 months ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆126Updated 3 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆70Updated 9 months ago
- ☆31Updated 4 years ago