Myo armband machine learning EMG dataset of various hand gestures
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Updated
Jan 27, 2026 - Jupyter Notebook
Myo armband machine learning EMG dataset of various hand gestures
LEGO Mindstorms EV3 TRACK3R control using the Myo armband and a neural network for gesture recognition
🍯 A RxJava library to access Raw EMG data from your Myo 📈 (plus an Android companion App 📱)
Yet another MyoConnect alternative without dongles
PyoMyo - Python Opensource Myo armband library
Platform-agnostic pythonic API to configure or retrieve data from a Thalmic Labs Myo armband through BLE
The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface electromyography (sEMG) signals (ICASSP 2021)
Web tools to do research with Myo
A framework to build a gesture recognition dataset with the Myo Armband electromyography (EMG) data.
Android Myo library with full data access and support for multiple Myos.
This repository contains sEMG Data of 13 subjects recorded with the Myo Armband.
Play breakout using the Myo Armband by Thalmic labs using python.
Using gestures to control a device such as a Robot, game or Lego Mind storms. There are numerous devices that are gesture based that can be used for this project.
4th place solution of Multi-Centre, Multi-Vendor, Multi-Disease Cardiac Image Segmentation Challenge
A senior project conducted by James Ramsay and Aditya Patel, advised by Dr. Yufeng Lu and Dr. In Soo Ahn. Sponsored by Bradley University
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