mqtran2 / NREL-EXO-Machine-Learning-Using-EMG
This is an ongoing project to detect sudden perturbations in human movement with data from electromyographic (EMG) sensors. The program will learn the abnormal patterns and help a powered lower-limb exoskeleton decide whether it needs to support torque to bring user to balance.
☆11Updated 8 years ago
Alternatives and similar repositories for NREL-EXO-Machine-Learning-Using-EMG:
Users that are interested in NREL-EXO-Machine-Learning-Using-EMG are comparing it to the libraries listed below
- The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichann…☆24Updated 3 years ago
- A feature extraction toolbox for EMG signals written in MATLAB☆30Updated 8 years ago
- ☆15Updated 5 years ago
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆34Updated 5 years ago
- SDK of sEMG function of matlab☆19Updated 7 years ago
- These codes for reading, pre-processing of sEMG, splitting of sEMG into windows of various sizes, extracting of sEMG features, normalizat…☆30Updated 2 years ago
- matlab functions for processing electromyography signals☆41Updated 3 years ago
- This is a simulation project for a wearable body weight support exoskeleton by using combined environmen of Matlab and OpenSim.☆16Updated 4 years ago
- Simple Python interface to the Delsys wireless EMG system☆36Updated 5 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆33Updated 5 years ago
- Implementation of surface EMG decomposition as proposed on Francesco Negro et al 2016 J. Neural Eng. 13 026027.☆16Updated 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…☆18Updated 6 years ago
- Decomposition of sEMG signals via Blind Source Separation☆12Updated 2 years ago
- Rehabilitation of people afflicted with elbow joint ailments is quite challenging. Studies reveal that rehabilitation through robotic dev…☆11Updated 3 years ago
- ☆28Updated 5 years ago
- Convolutional Neural Networks On Ninapro datasets☆17Updated 7 years ago
- ☆16Updated last year
- ☆12Updated 3 years ago
- GANs for generating EMG signals☆78Updated 4 years ago
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆57Updated 5 years ago
- sEMG function in MATLAB☆20Updated 6 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆10Updated 3 years ago
- sEMG feature extract and visual tools☆10Updated 5 years ago
- A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extr…☆19Updated 5 years ago
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆89Updated 4 years ago
- ☆12Updated 2 years ago
- shayanalibhatti / Finger-Movement-Classification-via-Machine-Learning-using-EMG-Armband-for-3D-Printed-Robotic-HandThis repository shows how to classify EMG data coming from Myo Armband using neural networks and interface a 3d printed robotic hand to i…☆76Updated 4 years ago
- A RNN Classification of various leg movements using different lower limb muscle sEMG data.☆35Updated 6 years ago
- Convert Xsens Dot data to OpenSense readable format☆25Updated last year
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆34Updated 3 years ago