Vision Controlled Sensorized Prosthetic Hand

Md Abdul Baset Sarker, Juan Pablo S. Sola, Aaron Jones, Evan Laing, Ernesto Sola-Thomas +1 more
6/25/2024
cs.HCcs.AI

No official code found. Best implementation: baset-sarker/vision_enabled_prosthetic_hand (0 stars, last commit 2024-08-21).

Abstract

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.

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Code Implementations(1)

baset-sarker/vision_enabled_prosthetic_handCommunity100%
01C++, ShellJul 10, 20222 years ago

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Cite this paper

@article{sarker2024vision,
  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},
  year   = {2024},
  eprint = {2407.12807},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2407.12807v2}
}

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