semg

There are 0 repository under semg topic.

• tsagkas / sEMG-HandGestureRecognition

  Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)

  hand-gesture-recognitionsemghand-gesturemyo-armbanddatasetninaproclassificationsemg-signalssemg-recordingsmyoup-datasetpython-3
  Language:Python 69

• Laknath1996 / sEMG-Hand-Gesture-Recognition

  The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface electromyography (sEMG) signals.

  convolutional-neural-networksevent-detectionhand-gesture-recognitionmachine-learningmyomyo-armbandonset-detectionpythosemgsignal-processing
  Language:Jupyter Notebook 43

• DSIP-UPatras / sEMG-hilbert-curve

  Accompaniment code for 'Hilbert sEMG data scanning for hand gesture recognition based on Deep Learning' published in NCAA.

  classificationcnndeep-learninghand-gesture-recognitionhilbert-curvemulti-scalesemg
  Language:Python 22

• GallVp / emgGO

  A toolbox for offline muscle activity onset/offset detection in multi-channel EMG data.

  emgguinoptimdetectiononsetsoffsetsburstmatlabmuscle-activityelectromyographytoolboxtutorialssemg
  Language:MATLAB 13

• Josef-Djarf / sEMG-Sim

  Source code for multiple parameter modelling of synthetic electromyography data.

  biomedicalbiomedical-engineeringbiosignalbiosignalselectromyogramelectromyographyelectrophysiologyelectrophysiology-dataemgengineeringmaster-thesisnumpypythonsemgsimulation-modeling
  Language:Python 8

• nihil21 / semg-bss

  Decomposition of sEMG signals via Blind Source Separation

  semgblind-source-separationbioinformatics
  Language:Jupyter Notebook 8
• Project-Automotive-Control-using-Surface-Electromyography

  TRAN-Gia-Quoc-Bao / Project-Automotive-Control-using-Surface-Electromyography

  My work during the research internship "Automotive Control using Surface Electromyography" at The University of Tokyo, Jun.-Sep. 2020

  adassemglstm-neural-networksignal-processingdeep-learningicaknn-classification
  Language:MATLAB 8

• jacobian1128 / Self-Adaptive-sEMG-TBME-2019

  Bayesian self-adaptive pattern recognition for sEMG

  matlabmexmyo-armbandsemgpublicationcpp
  Language:C++ 6

• michidk / myo-dataset

  This repository contains sEMG Data of 13 subjects recorded with the Myo Armband.

  semgdatasetdata-setmyo-armbandmyorock-paper-scissorsgesture-recognitiongesture-detection
  4

• FibonacciDude / ContrastiveProsthetics

  Computationally-free personalization at test time for sEMG gesture classification. Fast (gpu/cpu) ninapro API.

  semgcontrastive-learningninaproopenai-clipgesture-classificationadaptive-learningdeep-learning
  Language:Python 3

• MustafaMarwat / MUSED-1

  A comprehensive sEMG dataset recorded at Mayo Hospital Lahore and National University of Sciences & Technology. It includes raw signals from healthy subjects and stroke patients performing six upper limb gestures, captured with Myo armband following rigorous ethical standards.

  datasetmachine-learningsemg
  2

• Shurun-Wang / ALSF

  Auto-learning search framework based on a weighted double Q-learning algorithm:"Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals"

  hand-recognitionneural-architecture-searchreinforcement-learningsemg
  Language:Python 2

• Biolab-PoliTO / CIMAP

  Python algorithm to assess muscle activation patterns during cyclical movements

  clusteringdendrogrammuscle-activitysemgmuscle-activation-intervals
  Language:Python 1

• Ayoubavm / Shazam-algorithm-for-sEMG-signal-Classification

  Shazam is an application used for audio segments recognition, based on digital fingerprint which are extracted from a time-frequency graph (spectrogram). In this approach, we extend its uses to sEMG signal classification .

  prostheticssemgshazamvalidation
  Language:MATLAB 0

• Ayoubavm / Wrist_flexors_muscles_Dataset

  This Dataset contains measurements of wrist flexor muscles for 4 different gestures, initial starting position was: sitting with a 90° flexion angle of elbows, hips and knees.

  semgwristflexor
  0

• hkair / sEMG_Classification

  A RNN Classification of various leg movements using different lower limb muscle sEMG data.

  lstmpythonpytorchrnnsemgtensorflow
  Language:Jupyter Notebook 0

• ludekcizinsky / emg-signal-movement-clf

  Movement classification from sEMG signals across different subjects.

  semgmachine-learning
  Language:Jupyter Notebook 0

• nihil21 / semg-bss-pulp

  Blind source separation of sEMG signals on PULP platform

  bssicapulpsemg
  Language:C 0

• ussaema / EMG_Robot_Control

  EMG-based Gesture Recognition for Robot Control

  controlemgrecognitionrobot-controlsemg
  Language:Jupyter Notebook 0