tuengominh / deap-eeg-classification
EEG-based emotion classification using DEAP dataset
☆115Updated last year
Related projects: ⓘ
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆30Updated 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…☆43Updated last year
- EEG Emotion classification using the DEAP pre-processed data☆131Updated 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
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆52Updated 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…☆96Updated 3 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆67Updated 6 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆90Updated 3 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆36Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆54Updated last month
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆79Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆56Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆59Updated 3 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆48Updated 3 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
- ☆39Updated last year
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆110Updated 3 years ago
- ☆27Updated 3 years ago
- Emotion Recognition using ML methods on the SEED dataset☆19Updated 5 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆44Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆22Updated last year
- The codes that I implemented during my B.Sc. project.☆20Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆47Updated last year
- EEG-Based Emotion Recognition☆39Updated 3 months ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆123Updated 4 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆112Updated 9 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆85Updated 11 months ago