Project

This project demonstrates a cross-disciplinary approach to assistive technology, merging mechanical design, electrical design, and real-time signal processing. Key features include:

• Biocompatible Control: Translates forearm EMG signals into precise motor commands.
• Affordable Fabrication : Utilizes 3D-printed components to significantly reduce production costs.
• User-Centric Interface: Features a modular control system for gesture selection and grip stability.

System

Methods

• Retrieve muscle intent through electromyography sensors on the user's forearm.
• Activate the tendon cables attached from the motors to the fingertips.
• Freeze the fingers in the current position if the freeze button is pressed.
• Move to the next state for hand gesture when the mode button is pressed.
• Calibrate at each start up to make it individual for each user.

Conclusion

The Myo-Bionic interface reliably converts user muscle intent to physical hand gestures in the bionic hand.

Through This Process I Learned:

• How to design, build, and test a product.
• The importance of preparing all specifications before building.
• The impact of 3D printing settings.

Future Improvements:

• Introduce a smaller tolerance in print settings for a tighter fit of the 3D pieces.
• Create a PCB to allow for the power and controls to be housed in forearm.
• Add hall effect sensors to the fingertips to allow for pressure sensing.