2333-jpg / deap-cnn-lstmLinks
Emotion recognition based on DEAP dataset using One-Dimensional CNN, dan RNN (GRU, and LSTM).
☆18Updated 3 years ago
Alternatives and similar repositories for deap-cnn-lstm
Users that are interested in deap-cnn-lstm are comparing it to the libraries listed below
Sorting:
- 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…☆54Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆115Updated 4 years ago
- EEG-based emotion classification using DEAP dataset☆150Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆40Updated 6 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆79Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆70Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆79Updated 3 years ago
- EEG Emotion classification using the DEAP pre-processed data☆154Updated 6 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆62Updated 2 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆57Updated 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…☆127Updated 4 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆35Updated 2 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 2 years ago
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆14Updated 4 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆130Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆89Updated 7 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆111Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆117Updated 2 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 6 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆134Updated 4 years ago
- Emotion-Classification-by-EEG-DEAP-Dataset implemented in 2DCNNN-LSTM-1DCNN+GRU and the 1D_cnn+gru model gives the highest accuracy☆11Updated 2 years ago
- Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析，使用python…☆37Updated 4 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆67Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆33Updated last month
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- ☆33Updated 4 years ago
- 运动想象分类模型---ATCNet，源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆27Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆76Updated 3 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆48Updated 2 years ago