shyammarjit / EEG-Emotion-Recognition
EEG-Based Emotion Recognition
☆43Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for EEG-Emotion-Recognition
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆49Updated last year
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆34Updated 5 years ago
- EEG-based emotion classification using DEAP dataset☆118Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆57Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆54Updated last year
- ☆29Updated last year
- 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…☆44Updated last year
- Emotion Recogniton LSTM RNN Arousal Valence☆40Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆57Updated 3 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆86Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆25Updated last year
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆118Updated 3 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated last year
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆36Updated 4 months ago
- ☆13Updated 4 months 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
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆67Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆38Updated 3 years ago
- The codes that I implemented during my B.Sc. project.☆20Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆61Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆97Updated 4 years ago
- Public Models considered for emotion estimation from EEG☆35Updated 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…☆105Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆56Updated 2 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆13Updated 7 months ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆20Updated 7 months ago
- eeg based emotion classification transformer on DEAP data set☆14Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆91Updated last year
- This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆16Updated last week
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆61Updated 3 years ago