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.
☆10Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for NREL-EXO-Machine-Learning-Using-EMG
- A feature extraction toolbox for EMG signals written in MATLAB☆30Updated 7 years ago
- The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichann…☆23Updated 3 years ago
- Rehabilitation of people afflicted with elbow joint ailments is quite challenging. Studies reveal that rehabilitation through robotic dev…☆10Updated 2 years ago
- Simple Python interface to the Delsys wireless EMG system☆35Updated 5 years ago
- matlab functions for processing electromyography signals☆40Updated 3 years ago
- This is a simulation project for a wearable body weight support exoskeleton by using combined environmen of Matlab and OpenSim.☆15Updated 4 years ago
- ☆11Updated last year
- ☆15Updated 5 years ago
- These codes for reading, pre-processing of sEMG, splitting of sEMG into windows of various sizes, extracting of sEMG features, normalizat…☆28Updated 2 years ago
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆32Updated 5 years ago
- A library of different algorithms for Classification of EMG Signal using Python & Scikit Learn☆22Updated 2 years ago
- SDK of sEMG function of matlab☆18Updated 7 years ago
- ☆27Updated 5 years ago
- Gesture Recognition by Instantaneous Surface EMG Images☆43Updated 6 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆32Updated 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
- 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…☆74Updated 3 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆10Updated 3 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆31Updated 3 years ago
- Surface EMG signal - Feature Extraction☆23Updated 4 years ago
- Decomposition of sEMG signals via Blind Source Separation☆12Updated last year
- Convolutional Neural Networks On Ninapro datasets☆15Updated 6 years ago
- An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier☆17Updated 6 years ago
- Implementation of surface EMG decomposition as proposed on Francesco Negro et al 2016 J. Neural Eng. 13 026027.☆15Updated 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
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆55Updated 5 years ago
- 为肌电信号的处理和分类工具。☆29Updated 7 years ago
- MATLAB Toolbox to estimate gait measures from acceleration data.☆20Updated last year
- sEMG feature extract and visual tools☆10Updated 5 years ago
- sEMG function in MATLAB☆19Updated 5 years ago