  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.
