2333-jpg / deap-cnn-lstm
Emotion recognition based on DEAP dataset using One-Dimensional CNN, dan RNN (GRU, and LSTM).
☆15Updated 2 years ago
Related projects: ⓘ
- 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 last year
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆30Updated 5 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆38Updated last year
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆43Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆47Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆22Updated last year
- 在 SEED 数据集上做 EEG 情绪识别☆90Updated 3 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆56Updated 2 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆74Updated 5 years ago
- EEG-based emotion classification using DEAP dataset☆115Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆87Updated last year
- Emotion Recognition using ML methods on the SEED dataset☆19Updated 5 years ago
- ☆18Updated 4 years ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆17Updated 6 months ago
- ☆26Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆52Updated 2 years ago
- 脑电情绪识别☆12Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆63Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆49Updated last year
- My master thesis about emotion recognition form EEG data with a multimodal transformer☆20Updated last year
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆110Updated 3 years ago
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆9Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆14Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆11Updated 10 months 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…☆96Updated 3 years ago
- ☆10Updated 11 months ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆19Updated 4 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆18Updated 3 years ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆31Updated 2 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆57Updated 2 years ago