The Challenge
Current prosthetics face several limitations:
- Rigid designs or myoelectric control systems
- Reliance on nerve and muscle tissue data
- High costs limiting accessibility
- Complex fitting processes
- Limited availability in many regions
Mind Controlled Robotic Prosthetics
A year-long project focused on developing mind-controlled robotic prosthetics, leveraging EEG data for motor control functions as an alternative to myoelectric systems.
Market Size
$1.82B
for Prosthetics and Orthotics in the USA in 2022
Growth Rate
5.5%
CAGR for the Prosthetics market
Future Outlook
$2.93B
Projected Market Size by 2032
The Solution
Development of a new generation of prosthetics that:
- Utilizes EEG data for direct brain control
- Implements advanced machine learning algorithms
- Provides cost-effective alternatives to current systems
- Ensures reliable identification of neural signals
- Focuses on safety and reliability
3D Printed Hand with Wire-Based Actuation System
The prosthetic arm was built using 3D printed components based on the InMoov open-source project. The design employs an innovative wire system that enables finger movements with minimal motors:
- Each finger contains two wires: one on the front and one on the back
- Pulling one wire shortens the distance between specific points, creating a grasping motion
- The entire hand requires only 6 servos (one per finger and one for the wrist)
- This efficient design significantly reduces weight and complexity
Data Collection
The system uses an 8-channel OpenBCI Cyton board with dry electrode leads, positioned at FP1, FP2, C3, C4, P7, P8, O1, and O2. The board communicates wirelessly with the computer, ensuring maximum usability and minimal interference.
A RNN model processes the brainwaves to identify three distinct states: Open, Closed, or None. This third state helps reduce noise and improves accuracy. Commands are then sent to servo motors via Arduino for precise control.
OpenBCI Headset for EEG Data Collection
Target Users
Primary Users
- Amputees currently ineligible for robotic prosthetics
- Individuals facing financial barriers to current solutions
- Users in regions with limited access to specialized care
- Those requiring simpler adaptation processes