Abstract
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.
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