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emg-movement-recognition

The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichannel Electromyographic Activation Trajectories for Hand Movement Recognition," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 6, pp. 662-673, June 2016.]. The paper proposes a system for hand movement recognition using multi-channel electromyographic (EMG) signals obtained from the forearm surface. This system can be potentially used to control prostheses or to provide input to a wide range of human computer interface systems. The developed methods were tested with the publicly available NINAPro database.

emotion_reader

Hackaton Hack-The-Brain project of reading emotion in real time with Biosemi ActiveTwo EEG

eog-artifact-filtering

Filtering EOG artifact in EEG recordings through regression analysis.

erds

ERDS maps

erp_connectivity_emg_analysis

Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification

event-related-desynchronization

Motor imagery EEG classifier for my master's thesis.

face-classification-based-on-sparse-representation

Face classification based on sparse representation

fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

flexemg

An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier

ica_bss

Blind Source Separation using sklearn FastICA

iir-filter

An IIR filter class implementation in Python

iitk_motor_eeg

Motor Imagery EEG signal Classification on DWT

jkljl

kivy-circular-progress-bar

Implementation of a circular progress bar in kivy

labstreaminglayer

LabStreamingLayer super repository comprising submodules for LSL and associated apps.

lbm_demo

simple LBM demo -- not rigorous

lexicon

A Brain Computer Interface which makes use of the latest developments in technology to turn your thought into action.

liblsl-python

Python bindings (pylsl) for liblsl

machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

master-thesis-brain-machine-interface

Decoding of 3D Reach and Grasp Movements from Non-invasive EEG Signals using SpiNNaker Neuromorphic Hardware

mc_dcnn

Multi channel deep convolutional neural network for time series classification

mockingbird

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

modulated-messages

motor-imagery-classification

In this project, we use MATLAB to build a classifier for predicting motor imagery from EEG data.

motorimagerybci

Brain-Computer Interface for Motor Movement and Imagery Experiments (by Karel Roots)

multi-band-ica-for-eeg-and-meg

Multi-band ICA is a combination of a filter bank, PCA and ICA in order to perform ICA on EEG (and MEG) for artifact removal and component extraction.

multiplepurpose_fastica

This is an general implementation of ICA!

neurodecode

A framework for real-time brain-machine interface

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

portfolio

A portfolio of work