shayanalibhatti / Finger-Movement-Classification-via-Machine-Learning-using-EMG-Armband-for-3D-Printed-Robotic-HandView on GitHub
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
☆88Dec 30, 2020Updated 5 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)☆124Jul 9, 2020Updated 5 years ago
- Python bindings for the Myo SDK☆283Sep 4, 2021Updated 4 years ago
- Gesture recognition using myo armband via neural network (tensorflow library).☆43Nov 10, 2018Updated 7 years ago
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆40May 28, 2019Updated 6 years ago
- The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface el…☆72Oct 31, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆66May 16, 2019Updated 6 years ago
- ☆226Apr 21, 2017Updated 8 years ago
- sEMG-based gesture recognition using deep learnig☆453Apr 21, 2021Updated 4 years ago
- A package for decomposing multi-channel EMG signals into individual motor unit activity.☆33Jun 30, 2022Updated 3 years ago
- Surface EMG signal - Feature Extraction☆29Oct 27, 2020Updated 5 years ago
- This repository contain the code we used to divide NinaPro database 5 into train set and test set