PrithivirajManiram / Robotic-EXoskeleton-for-Arm-Rehabilitation-REXAR-Links
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…
☆12Updated 3 years ago
Alternatives and similar repositories for Robotic-EXoskeleton-for-Arm-Rehabilitation-REXAR-
Users that are interested in Robotic-EXoskeleton-for-Arm-Rehabilitation-REXAR- are comparing it to the libraries listed below
Sorting:
- 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…☆32Updated 2 years ago
- Decomposition of sEMG signals via Blind Source Separation☆12Updated 3 weeks ago
- This is an ongoing project to detect sudden perturbations in human movement with data from electromyographic (EMG) sensors. The program w…☆13Updated 9 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆33Updated 5 years ago
- 为肌电信号的处理和分类工具。☆30Updated 7 years ago
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆37Updated 6 years ago
- sEMG feature extract and visual tools☆10Updated 6 years ago
- ☆18Updated 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…☆25Updated 3 years ago
- SDK of sEMG function of matlab☆18Updated 8 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…☆80Updated 4 years ago
- 基于MYO的表面肌电数据采集与分析程序☆13Updated 5 years ago
- Codes for srt--hand gesture recognition using sEMG, including download data,data processing,machine learning.☆8Updated 6 years ago
- Developed an adaptive (Robust and passivity based ) controller for the lower limb exoskeleton device/ walk assist device to provide rehab…☆12Updated 2 years ago
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆100Updated 4 years ago
- A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extr…☆19Updated 6 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆11Updated 4 years ago
- 肌电信号深度学习毕业论文☆43Updated 2 months ago
- Parallel signal feature extraction code. The code was originally written for sEMG, but it can be applied to other data arranged as multip…☆46Updated 5 years ago
- sEMG function in MATLAB☆21Updated 6 years ago
- ☆32Updated 6 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…☆20Updated 6 years ago
- This is a simulation project for a wearable body weight support exoskeleton by using combined environmen of Matlab and OpenSim.☆17Updated 4 years ago
- Vision Transformer-Based Hand Gesture Recognition with HD-sEMG Signals☆26Updated 4 months ago
- A library of different algorithms for Classification of EMG Signal using Python & Scikit Learn☆27Updated 2 years ago
- Surface EMG signal - Feature Extraction☆27Updated 4 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆34Updated 3 years ago
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆63Updated 6 years ago
- An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier☆19Updated 7 years ago