ywen3 / dcnn_mu_decompLinks
☆14Updated 2 years ago
Alternatives and similar repositories for dcnn_mu_decomp
Users that are interested in dcnn_mu_decomp are comparing it to the libraries listed below
Sorting:
- Decomposition of sEMG signals via Blind Source Separation☆12Updated 4 months ago
- MATLAB implementation of (FAST) ICA decomposition of hd-sEMG signals to motor units☆40Updated 7 months ago
- The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichann…☆25Updated 4 years ago
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆104Updated 4 years ago
- ☆18Updated 6 years ago
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆63Updated 6 years ago
- SDK of sEMG function of matlab☆18Updated 8 years ago
- Implementation of surface EMG decomposition as proposed on Francesco Negro et al 2016 J. Neural Eng. 13 026027.☆17Updated 2 years ago
- ☆12Updated 4 years ago
- Improved sEMG-based gesture recognition☆64Updated 5 years ago
- The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface el…☆64Updated 10 months ago
- This is a version of EMGlab software. It contains changes that adapt the EMGlab to new versions of Matlab.☆12Updated 5 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆38Updated 3 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆11Updated 4 years ago
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆68Updated 6 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆34Updated 6 years ago
- GANs for generating EMG signals☆89Updated 5 years ago
- The processing flow of Ninapro datasets and the pytorch dataloader of the processed Ninapro data.☆32Updated 3 years ago
- These codes for reading, pre-processing of sEMG, splitting of sEMG into windows of various sizes, extracting of sEMG features, normalizat…☆36Updated 3 years ago
- sEMG-based gesture recognition using deep learnig☆421Updated 4 years ago
- Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)☆110Updated 5 years ago
- 肌电信号深度学习毕业论文☆49Updated 5 months ago
- Source code for multiple parameter modelling of synthetic electromyography data.☆19Updated last year
- Machine learning code implemented for hand gesture recognition using EMG data from the Ninapro db1 database. Report Link: https://drive.…☆44Updated last year
- Code for extraction of muscle synergies from EMG activity. The rShiftNMF algorithm decomposes the EMG into a set of neural commands (H) a…☆22Updated 7 years ago
- A library of different algorithms for Classification of EMG Signal using Python & Scikit Learn☆28Updated 3 years ago
- Convolutional Neural Networks On Ninapro datasets☆18Updated 7 years ago
- Parallel signal feature extraction code. The code was originally written for sEMG, but it can be applied to other data arranged as multip…☆48Updated 6 years ago
- A RNN Classification of various leg movements using different lower limb muscle sEMG data.☆38Updated 7 years ago
- Surface EMG signal - Feature Extraction☆28Updated 4 years ago