This paper presents a sensorized vision-enabled prosthetic hand aimed at replicating a natural hand's performance, functionality, appearance, and comfort. The design goal was to create an accessible substitution with a user-friendly interface requiring little to no training. Our mechanical hand uses a camera and embedded processors to perform most of these tasks. The interfaced pressure sensor is used to get pressure feedback and ensure a safe grasp of the object; an accelerometer is used to detect gestures and release the object. Unlike current EMG-based designs, the prototyped hand does not require personalized training. The details of the design, trade-offs, results, and informing the next iteration are presented in this paper.
@article{arxiv.2407.12807,
title = {Vision Controlled Sensorized Prosthetic Hand},
author = {Md Abdul Baset Sarker and Juan Pablo S. Sola and Aaron Jones and Evan Laing and Ernesto Sola-Thomas and Masudul H. Imtiaz},
journal= {arXiv preprint arXiv:2407.12807},
year = {2024}
}