MikeMpapa / CogBeacon-MultiModal_Dataset_for_Cognitive_Fatigue
CogBeacon is a multi-modal dataset designed to target the effects of cognitive fatigue in human performance. The dataset consists of 76 sessions collected from 19 male and female users performing different versions of the Wisconsin Card Sorting Test (WCST); a popular cognitive test in experimental and clinical psychology designed to assess cogni…
☆14Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for CogBeacon-MultiModal_Dataset_for_Cognitive_Fatigue
- This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…☆62Updated last month
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆45Updated 8 months ago
- PyTorch implementation of TSception☆68Updated last year
- Linear discriminant analysis on EEG Motor Movement/Imagery Dataset: https://www.physionet.org/pn4/eegmmidb/☆15Updated 5 years ago
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆22Updated 2 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆36Updated 3 months ago
- ☆37Updated 3 years ago
- EEG motor imagery classification using convolutional neural networks☆34Updated last year
- ☆43Updated 5 years ago
- An EEG dichotomy program file , using CSP and SVM.☆21Updated 4 years ago
- ☆21Updated 5 years ago
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆21Updated 4 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆38Updated 3 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆63Updated 3 months 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
- 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
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆36Updated 5 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆103Updated 5 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆86Updated last year
- Implementation of EEG signal classification.☆48Updated 8 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆38Updated 4 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆56Updated last year
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆85Updated 6 years ago
- ☆41Updated 2 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆124Updated 4 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 6 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆37Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆40Updated 5 months ago