Electromyography (EMG)

(Arduino code) - RehTracker is my Master's thesis project at SDU, Odense, DK.

Control a differential drive robot by flexing your muscles!

A bionic prosthesis controlled through DIY muscle sensors attached to an Arduino board

Lambda Robotics' Project for Science & Technology Idea Contest of KMUTT Open House Event 2024

Software files for the DIYEMG kit

A modular, open-source prosthetic hand project designed for accessibility, affordability, and customizability. This repository provides hardware designs, firmware, and software tools to enable rapid prototyping and development of advanced prosthetic hands. Ideal for researchers, makers, and anyone interested in assistive technology innovation.

The Drummer's Hand Prosthetic is activated by EMG signals sourced from users' forearm muscles to raise a drumstick proportionally. The up-to-date Arduino code and SOLIDWORKS models can be accessed in this repository.

Installation that allows a person to take control of the arm of another person

Collection of Arduino code for my bachelorthesis which is a cybernetic prosthetic prototype of the right arm that can be controlled via surface level EMG sensors on the lower forearm.

Application collecting sEMG data from muscles has been written in C++ Signal feature extraction processing in Matlab

Скетчи для Arduino, используемые в видеоуроках к набору "Юный нейромоделист"

Controlling your Overwatch character with electromyography sensors (EMG).

Python GUI and updated sketch code for the Psylink neural interface

DIY EMG VR Controller for Oculus Quest 2: low-cost, user-friendly electromyography-based control system with Arduino, MyoWare sensors, and 9gr servo motors. This beginner-oriented project offers a simple one-button setup to overcome input emulation limitations on Meta Quest and SteamVR devices, enabling virtual reality gaming for all #a11y

OSC bridge for the Thalmic Myo gesture control armband (cross-platform)

This small suite helps you detect bruxism and interrupt it.

A Do It Yourself (DIY) Electromyography (EMG) shield for learning neauroscience with ease.

Preprocessing and classify EMG signals, using Tensorflow and Tensorflow Lite to deploy an AI model in a ESP32C3

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors