A 3D Printing Soft Prosthesis and an IoT Architecture for Controlling Gestures
Year: 2025
Type: article
Abstract: Upper limb prosthesis have been evolving since 1967, progressing from mechanical prosthesis to robotic prosthesis, integrating electronics with emerging materials. This work aims to develop a low-cost integrated active upper limb prosthesis using additive manufacturing, controlled by the user with a myoelectric sensor to perform three hand gestures: power grip, two-fingered cup movement, and gripper actions. The prosthesis is based on the reduction of degrees of freedom, the analysis of five additive manufacturing materials, and the implementation of a neural network to control the gestures performed by the prosthesis. The precision obtained in the best model saved by the neural network was 91.25% and a recall of 90.75%. A key contribution of this work is the integration of soft 3D printing materials, which enhance object grasping by conforming to various shapes. In this case, grasping was achieved using a driven cable and a flex sensor in three gestures with different objects.
DOI: 10.4028/p-y0nyin
Authors: Jose Luis Ordoñez-Avila, Darwin Daniel Lopez, Diego Ventura, Jose Molina-Palucho, André David Colindres, María Elena Perdomo, Karla Miriam Reyes Leiva, Julio Valentin Fajardo, Manuel Cardona
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4414998948