Sensors 2011, 11(9), 8626-8642; doi:10.3390/s110908626

Artificial Skin Ridges Enhance Local Tactile Shape Discrimination

Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117576 Singapore
* Author to whom correspondence should be addressed.
Received: 9 August 2011; in revised form: 31 August 2011 / Accepted: 2 September 2011 / Published: 5 September 2011
(This article belongs to the Special Issue Biomimetic Sensors, Actuators and Integrated Systems)
PDF Full-text Download PDF Full-Text [443 KB, Updated Version, uploaded 19 September 2011 09:05 CEST]
The original version is still available [570 KB, uploaded 5 September 2011 09:33 CEST]
Abstract: One of the fundamental requirements for an artificial hand to successfully grasp and manipulate an object is to be able to distinguish different objects’ shapes and, more specifically, the objects’ surface curvatures. In this study, we investigate the possibility of enhancing the curvature detection of embedded tactile sensors by proposing a ridged fingertip structure, simulating human fingerprints. In addition, a curvature detection approach based on machine learning methods is proposed to provide the embedded sensors with the ability to discriminate the surface curvature of different objects. For this purpose, a set of experiments were carried out to collect tactile signals from a 2 × 2 tactile sensor array, then the signals were processed and used for learning algorithms. To achieve the best possible performance for our machine learning approach, three different learning algorithms of Naïve Bayes (NB), Artificial Neural Networks (ANN), and Support Vector Machines (SVM) were implemented and compared for various parameters. Finally, the most accurate method was selected to evaluate the proposed skin structure in recognition of three different curvatures. The results showed an accuracy rate of 97.5% in surface curvature discrimination.
Keywords: tactile sensing; curvature discrimination; local shape; ridged skin cover; fingerprints; robotic hand; prosthetic hand; machine learning; support vector machines

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Salehi, S.; Cabibihan, J.-J.; Ge, S.S. Artificial Skin Ridges Enhance Local Tactile Shape Discrimination. Sensors 2011, 11, 8626-8642.

AMA Style

Salehi S, Cabibihan J-J, Ge SS. Artificial Skin Ridges Enhance Local Tactile Shape Discrimination. Sensors. 2011; 11(9):8626-8642.

Chicago/Turabian Style

Salehi, Saba; Cabibihan, John-John; Ge, Shuzhi Sam. 2011. "Artificial Skin Ridges Enhance Local Tactile Shape Discrimination." Sensors 11, no. 9: 8626-8642.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert