PrithivirajManiram / Robotic-EXoskeleton-for-Arm-Rehabilitation-REXAR-
Rehabilitation of people afflicted with elbow joint ailments is quite challenging. Studies reveal that rehabilitation through robotic devices exhibits promising results, in particular exoskeleton robots. In this work, 1 degree of freedom active upper-limb exoskeleton robot with artificial intelligence aided myoelectric control system has been de…
☆9Updated 2 years ago
Related projects: ⓘ
- sEMG feature extract and visual tools☆10Updated 5 years ago
- Software package to connect multiple Myo armbands to the same computer and to interface them with ROS. The system can be tested by contro…☆15Updated 6 years ago
- These codes for reading, pre-processing of sEMG, splitting of sEMG into windows of various sizes, extracting of sEMG features, normalizat…☆26Updated 2 years ago
- 基于MYO的表面肌电数据采集与分析程序☆11Updated 4 years ago
- A library of different algorithms for Classification of EMG Signal using Python & Scikit Learn☆20Updated 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…☆71Updated 3 years ago
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆30Updated 5 years ago
- ☆11Updated 4 years ago
- This is an ongoing project to detect sudden perturbations in human movement with data from electromyographic (EMG) sensors. The program w…☆10Updated 8 years ago
- SDK of sEMG function of matlab☆18Updated 7 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆30Updated 5 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
- ☆27Updated 5 years ago
- Decomposition of sEMG signals via Blind Source Separation☆12Updated last year
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆82Updated 3 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
- ☆15Updated 5 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆31Updated 2 years ago
- Surface EMG signal - Feature Extraction☆22Updated 3 years ago
- sEMG function in MATLAB☆18Updated 5 years ago
- 为肌电信号的处理和分类工具。☆28Updated 6 years ago
- GANs for generating EMG signals☆70Updated 4 years ago
- Code for extraction of muscle synergies from EMG activity. The rShiftNMF algorithm decomposes the EMG into a set of neural commands (H) a…☆17Updated 6 years ago
- Gesture Recognition by Instantaneous Surface EMG Images☆43Updated 6 years ago
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆54Updated 5 years ago
- Simple Python interface to the Delsys wireless EMG system☆35Updated 5 years ago
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆53Updated 5 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆10Updated 3 years ago
- ☆23Updated 4 years ago
- A sample python package deployment utility for NINAPRO dataset.☆11Updated 7 months ago