nadzeri / Significant-Preprocessing-Method-In-EEG-Based-Emotion-Classification
EEG preprocessing methods for classifying person emotions have been widely applied. However, there still remain some parts where determining significant preprocessing method can be improved.
☆24Updated 8 years ago
Related projects: ⓘ
- ☆42Updated 5 years ago
- CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of…☆41Updated 5 years ago
- BCI Competition IV dataset 2a☆26Updated 5 years ago
- EEG Emotion classification using the DEAP pre-processed data☆131Updated 5 years ago
- bci_program for BCI IV 2b☆8Updated 5 years ago
- ☆63Updated 5 years ago
- Implementation of EEG signal classification.☆48Updated 8 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 3 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆77Updated 6 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆48Updated 3 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆46Updated 3 years ago
- An EEG dichotomy program file , using CSP and SVM.☆21Updated 4 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
- 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
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆79Updated 2 years ago
- Python implemementation of the FBCSP algorithm☆32Updated 3 months ago
- A versatile signal processing and analysis framework for Motor-Imagery related Electroencephalogram (EEG). It mainly involves temporal an…☆23Updated 4 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆10Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆59Updated 3 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆43Updated 4 years ago
- Classification algorithm based on motor imagery brain-computer interface☆30Updated 5 years ago
- Feature selection via dependence maximization for EEG based emotion classification.☆52Updated 9 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆30Updated 5 years ago
- ☆34Updated 5 years ago
- EEG motor imagery classification using convolutional neural networks☆31Updated last year
- Feature Extraction of Mental Load EEG signals☆53Updated 7 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆67Updated 6 years ago
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…☆68Updated last year
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆54Updated last year
- This repository save my work about GAN applied to motor imagery eeg signals☆38Updated 6 years ago