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Mixtures of two Audio signals were separated using FastICA algorithm
an aircraft battle game written with pygame
PyQt5 application for real time signal visualization
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Python implementation of motor imagery real-time BCI paradigm for 3D control of UR5 manipulator and ROBOTIQ gripper, with unique control session paradigm.
Classification algorithm based on motor imagery brain-computer interface
This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor imagery
This is the source codes from my B.Eng thesis titled "An Application of Electroencephalogram Signals Classification for Controlling a Mobile Robot".
Variety of applications for BCI research
convolutional neural network motor imagery based brain computer interface
CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of EEG motor imagery signals")
Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive subcomponents which have maximum differences in variance between two windows. This algorithm is mainly used in motor imagery based BCI for processing EEG data.
In this study, we aim to investigate the decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. We developed a behavioral task in which participants were instructed to perform both AO and MI/ME in regard to the actions of sit-to-stand and stand-to- sit. Our results demonstrated that the ERD was prominent during AO, whereas ERS was typical during MI at the alpha band across the sensorimotor area.
Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices
Time series distances: Dynamic Time Warping (DTW)
This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction
EEG online experiment GUI
Pre-Processing of EEG
A combination of a python GUI, ESP8266/arduino code and a PCB design to create a system for acquisition of biological signals
An EEG dichotomy program file , using CSP and SVM.
Implementation of EEG signal classification.
Python implementation of FASTER method for EEG artifact rejection
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
Using rms feature and LDA to classify EMG signals into 5 different classes.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.