KvanNoord / 3D-CNN-EEG-Emotion-Classification
Openly available framework:
☆11Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for 3D-CNN-EEG-Emotion-Classification
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆62Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆26Updated last year
- 基于一个公开数据集和一个BCI竞赛数据集，提供一个SVM-CSP运动想象二分类demo☆11Updated 3 years ago
- This is for my Biomedical Computation class in campus. The problem is for classifying EEG Dataset from Bonn University that contains seiz…☆11Updated 7 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆11Updated last year
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆77Updated 5 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 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
- Feature extraction for EEG signals☆27Updated 4 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆50Updated 3 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆36Updated 5 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente …☆48Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆34Updated last year
- Diploma Thesis Project on Emotion Recognition from EEG-signals☆11Updated 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…☆44Updated last year
- An EEG dichotomy program file , using CSP and SVM.☆21Updated 4 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆44Updated 5 years ago
- Attention-Based Temporal Learner With Dynamical Graph Neural Network for EEG Emotion Recognition. [DEAP]&&[MEEG]☆24Updated this week
- A CNN + LSTM architecture to predict seizure from EEG data☆43Updated last year
- ☆35Updated 5 years ago
- A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO☆7Updated 2 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆18Updated 4 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆49Updated 2 years ago
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆10Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆58Updated 2 years 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
- 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
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆44Updated 3 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆34Updated 5 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago