PyoMyo - Python Opensource Myo armband library

Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)

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

The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface electromyography (sEMG) signals.

Connect to the Myo armband with Web Bluetooth

Gesture recognition using myo armband via neural network (tensorflow library).

A custom sEMG dataset developed with the Myo Armband for hand gesture classification

C++ library for interfacing with the Myo armband on Linux

🍯 A RxJava library to access Raw EMG data from your Myo 📈 (plus an Android companion App 📱)

Data acquisition and visualization tool for Myo Armband

MyoConnect alternative for the Myo Armband with OSC protocol

Web tools to do research with Myo

Play breakout using the Myo Armband by Thalmic labs using python.

Software package to connect multiple Myo armbands to the same computer and to interface them with ROS. The system can be tested by controlling the arm of the Pepper or NAO robot.

Myo armband electromyographic readings dataset for various wrist gestures.

Custom gesture recognition with the Myo Armband by implementing scikit-learn machine learning models

Identifying eating gestures from Myo armband sensor data

6DOF tracking with Microsoft HoloLens for emulation of prosthesis training exercises

EMG and IMU data recorder GUI for MYO Armband

C++ Arduino code for an Arduino Uno wired to a HM-11 BlueTooth module and connected to a Myo Armband. Also included is a Windows program that displays quaternion data used by the Myo/Arduino.