shayanalibhatti / Finger-Movement-Classification-via-Machine-Learning-using-EMG-Armband-for-3D-Printed-Robotic-Hand
This repository shows how to classify EMG data coming from Myo Armband using neural networks and interface a 3d printed robotic hand to imitate the classified movement
☆76Updated 4 years ago
Alternatives and similar repositories for Finger-Movement-Classification-via-Machine-Learning-using-EMG-Armband-for-3D-Printed-Robotic-Hand:
Users that are interested in Finger-Movement-Classification-via-Machine-Learning-using-EMG-Armband-for-3D-Printed-Robotic-Hand are comparing it to the libraries listed below
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆36Updated 5 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆32Updated 5 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆11Updated 3 years ago
- ☆17Updated 5 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
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆58Updated 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…☆24Updated 3 years ago
- A custom sEMG dataset developed with the Myo Armband for hand gesture classification☆39Updated 4 years ago
- Gesture Recognition by Instantaneous Surface EMG Images☆44Updated 6 years ago
- SDK of sEMG function of matlab☆18Updated 8 years ago
- sEMG feature extract and visual tools☆10Updated 5 years ago
- Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)☆97Updated 4 years ago
- Decomposition of sEMG signals via Blind Source Separation☆12Updated 2 years ago
- Surface Electromyograph (SEMG) Control for a robotic hand☆11Updated 4 years ago
- The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface el…☆52Updated 4 months ago
- UHD is a surface electromyogram (sEMG) signals database, including original sEMG signals, the starting points and the termination points …☆11Updated 5 years ago
- Gesture recognition using myo armband via neural network (tensorflow library).☆41Updated 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
- Convolutional Neural Networks On Ninapro datasets☆18Updated 7 years ago
- ☆17Updated last year
- Access data from Thalmic Labs' Myo Gesture Control Armband in m-code!☆33Updated 2 years ago
- ☆24Updated 4 years ago
- A RNN Classification of various leg movements using different lower limb muscle sEMG data.☆35Updated 6 years ago
- Improved sEMG-based gesture recognition☆57Updated 5 years ago
- 基于MYO的表面肌电数据采集与分析程序☆13Updated 5 years ago
- ☆12Updated 3 years ago
- ☆31Updated last year
- A sample python package deployment utility for NINAPRO dataset.