ArmSense - Intelligent Robotic Prosthetic Control

Table of Contents

1. Demo
2. Poster
3. System Demo
4. Data Collection Demo
5. Prediction Demo
6. Description
7. Pictures
8. Collaborators
9. Disclaimer

Demo

Poster

System Demo

Data Collection Demo

Prediction Demo

Description

Over 500,000 Americans face limb loss or birth defects annually, with 5.6 million living with such disabilities in the U.S. Robotic prosthetics offer a potential solution, but their prohibitive cost of $20,000 to $100,000 limits accessibility, impacting quality of life.​

Our solution was to build a custom, portable sEMG sensing armband, which can wirelessly control a robotic prosthetic hand. The armband is worn on a user's forearm, harnessing the muscular activity from their residuals muscles. Our software application utilizes machine learning to classify the gesture a user is making, producing a control signal to move a robotic arm. ​

Pictures

See images/ directory for images captured during development process!

Collaborators

Name	GitHub	Module
Jacob Jones	Jacob	Signals
Raheel Farouk	Raheel	Communications
Keshav Shankar	Keshav	Data Processing
Travis Allabon	Travis	Supervisory and Control

Disclaimer

This project originated from the ECE 1896 class in the University of Pittsburgh's Electrical and Computer Engineering Department that focus' on a undertaking a captstone project, applying knowledge from the ECE curriculm.