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adamyo

Surface EMG-based Inter-session Gesture Recognition Enhanced by Deep Domain Adaptation

deep-learning-har

Convolutional and LSTM networks to classify human activity

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dsp_emgdl_chapter

Deep Learning approaches for sEMG-based gesture recognition

fangjiaxue

icassp2019_tcn

Improved sEMG-based gesture recognition

imimic-rcvs

This repository contains the code for implementing Bidirectional Relevance scores for Digital Histopathology, which was used for the results in the iMIMIC workshop paper: Regression Concept Vectors for Bidirectional Explanations in Histopathology

monkeyrat_decoder

LSTM class to predict EMG and kinematic signals from intracortical recordings (neural spikes)

myoarmbanddataset

ninaprocnn

Convolutional Neural Networks On Ninapro datasets

semg-neural-net

Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementations.

semg_cnn_lstm

semg_deeplearning

sEMG-based gesture recognition using deep learnig

semg_motionrecognition

Motion Detection and Recognition based on sEMG singnal

semg_sdk

SDK of sEMG function of matlab

semimyo

Semi-supervised Learning for Surface EMG-based Gesture Recognition

srep

Gesture Recognition by Instantaneous Surface EMG Images

tensorboard

TensorFlow's Visualization Toolkit