vsjadhav / SEED_emotion_recognition_with_transfer_learning
EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V
☆32Updated last year
Alternatives and similar repositories for SEED_emotion_recognition_with_transfer_learning:
Users that are interested in SEED_emotion_recognition_with_transfer_learning are comparing it to the libraries listed below
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 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…☆51Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆91Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- ☆30Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 7 months ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆106Updated 2 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆14Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆53Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆68Updated 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 …☆18Updated 2 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆20Updated last year
- 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☆26Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- Emotion Recognition Transformer Network Based EEG Signals.☆19Updated last year
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆25Updated last year
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆55Updated last year
- 使用4D切片方式,利用深度学习从时、频、空间域进行EEG情绪识别解码☆22Updated 2 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆50Updated 2 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
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- code for LMDA☆79Updated last year
- Emotion recognition base on EEG.☆16Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year