Welcome to 3D-printed Myo electric prosthetic hand Project. In this project we will build a bionic arm which can be controlled using myo electric sensors.

Surface EMG signal - Feature Extraction

Designing, building and controlling a motorized prosthetic arm

Body powered prosthetic hand mechanisms are actuated by human body movement through wires or cables and their goal is to substitute the human hand more esthetically than functionally.

This sketch was made to be used in conjunction with the Mirru Arduino Sketch

Implementation and benchmarking of machine learning methods for identifying hand motions from EEG recordings.

This sketch was made to be used in conjunction with the Mirru Android App

Open-source bionic arm broject

Analyze data from surface EMG sensors, accelerometer, and gyroscope to recognize several hand-motion patterns, which can then be associated with a specific pattern in the 3D printed prosthetic arm 💪🏼

Prosthetic Hand Project

Project for processing muscules emg signals to drive robotic hand

EEG/EMG biosignal classification pipeline for prosthetic arm intent recognition, combining Classic ML, CNN, and RNN/BRNN models with shared preprocessing and demo tools.

Sheffield Bionic's Arm Division's repo for current prototypes and research- working primarily on the code for intuitive and adaptable electromyographically controlled transhumeral prosthetic devices.

Prosthetic Hand Project

The Prosthetic Arm with Adaptive Grasp Modes is designed to address challenges by integrating intelligent, real-time control into the prosthetic device. Focusing on common dining tasks, this prosthetic arm utilizes a vision-based recognition system and force feedback to adapt its grip to specific objects, like tableware and food provisions.

Real-time hand gesture recognition system utilizing sEMG signals and Deep Reinforcement Learning (DQN).

Bachelor's Thesis

EMG-controlled prosthetic arm project using machine learning, TensorFlow Lite, and ESP32. Includes model training, evaluation, embedded deployment workflow, and ongoing development of real-time gesture-controlled prosthetic actuation.

An intelligent EMG-based prosthetic hand that leverages a Convolutional Neural Network (CNN) to classify nine hand gestures from multi-channel EMG signals and execute real-time prosthetic hand movements.

AI-Based Smart Prosthetic Hand using Arduino Uno, Flex Sensors and Servo Motors.