- Demo
- Poster
- System Demo
- Data Collection Demo
- Prediction Demo
- Description
- Pictures
- Collaborators
- Disclaimer
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.
See images/ directory for images captured during development process!
| Name | GitHub | Module |
|---|---|---|
| Jacob Jones | Jacob | Signals |
| Raheel Farouk | Raheel | Communications |
| Keshav Shankar | Keshav | Data Processing |
| Travis Allabon | Travis | Supervisory and Control |
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.