Dataset for Conditioned haptic perception for 3D localization of nodules in soft tissue palpation with a variable stiffness probe
dataset
posted on 2020-07-30, 10:45 authored by Nicolas Herzig, Liang He, Perla Maiolino, Sara Abad GuamanSara Abad Guaman, Thrishantha NanayakkaraThese data are complementing the following publication:
[1] N. Herzig, L. He, P. Maiolino, S-A Abad, and T. Nanayakkara, Conditioned Haptic Perception for 3D localization of Nodules in Soft Tissue Palpation with a Variable Stiffness Probe. PLoS One. DOI: 10.1371/journal.pone.0237379
These data support our research on a Variable Stiffness Palpation Probe and its control strategy to palpate and detect the location of stiff inclusions in soft tissues.
The folder contains a ReadMe file and a binary Matlab file. For more details about the content of the binary file and the data structure, please read the ReadMe file.
[1] N. Herzig, L. He, P. Maiolino, S-A Abad, and T. Nanayakkara, Conditioned Haptic Perception for 3D localization of Nodules in Soft Tissue Palpation with a Variable Stiffness Probe. PLoS One. DOI: 10.1371/journal.pone.0237379
These data support our research on a Variable Stiffness Palpation Probe and its control strategy to palpate and detect the location of stiff inclusions in soft tissues.
The folder contains a ReadMe file and a binary Matlab file. For more details about the content of the binary file and the data structure, please read the ReadMe file.
Funding
Morphological computation of perception and action
Engineering and Physical Sciences Research Council
Find out more...RoboPatient - Robot assisted learning of constrained haptic information gain
Engineering and Physical Sciences Research Council
Find out more...History
Ethics
There is no personal data or any that requires ethical approvalPolicy
The data complies with the institution and funders' policies on access and sharingSharing and access restrictions
The data can be shared openlyData description
- The file formats are open or commonly used
Methodology, headings and units
- There is a readme.txt file describing the methodology, headings and units
CC BY 4.0