Open AccessVision‐based tactile sensor using depth from defocus for artificial finger in hand prosthesis
Author(s) -
Jiang Hanjun,
Zhu Xiyang,
Xie Wenao,
Guo Feng,
Zhang Chun,
Wang Zhihua
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2016.2610
Subject(s) - tactile sensor , computer vision , artificial intelligence , computer science , prosthesis , image sensor , layer (electronics) , prosthetic hand , materials science , robot , composite material
A vision‐based tactile sensor has been implemented to build an artificial fingers capable of grasping for the hand prosthesis. The tactile sensor hardware is composed of an elastomer sensing part with one layer of markers and an image sensor. By employing the depth from defocus technique, three‐dimensional contact force distribution can be reconstructed from the 2D images of only one layer of markers. The proposed hardware and algorithm have been validated through experiments.