Motor Imagery model for Technology Workshop class
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Updated
May 23, 2021 - Python
Motor Imagery model for Technology Workshop class
Exploring Brain Signal Processing Pipelines for Kaggle Challenges
Fuzzy Discernibility Matrix-based a novel feature selection technique
This Python script creates, trains, and tests a Convolutional Neural Network (CNN) for image classification using various libraries like Numpy, Tensorflow, OpenCV, Keras, etc. The input images are spectrum images that are loaded from a specified folder path and pre-processed by resizing and normalizing.
Leveraging Transfer Learning to Improve Stroke Patient Motor-Imagery Classification.
This project aim is to classify the motor imagery signals extracted from the brain using an Electro Encephalogram
Orthogonal matching pursuit-based feature selection for motor-imagery EEG signal
ECoG Motor Imagery Classification and Analysis. (Neuromatch Academy Project)
Motor Imagery in VR-BCI
Real-Time BCI for Rock-Paper-Scissors: Decoding Motor Imagery with Minimal Training
This is a python code for extracting EEG signals from dataset 2b from competition iv, then it converts the data to spectrogram images to classify them using a CNN classifier.
Maxim Entropy based Common Spatial Pattern
Motor Imagery System Using a Low-Cost EEG Brain Computer Interface.
This code is for classifying spectrogram images of Motor Movement/Imagery tasks using a Convolutional Neural Network (CNN) and Generative Adversarial Network (GAN) for data augmentation..
A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO
Project for XAI606(Korea University)
EEG Classification API using Flask
Senior Design Project at UH
University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery
This repository contains all the code used in the experiments of the paper Restricted Exhaustive Search for Frequency Band Selection in Motor Imagery Classification as well as additional information of the experiments and results, and how to reproduce them.
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