International Journal of Advanced Computing and Communication Systems

Simulation of Human Tactile Perception using Neural Networks

Mihir Ganu, Sanket Sharma and Moksharth Doshi, Department of Electronics and Telecom Sardar Patel Institute of Technology, University of Mumbai, India.

International Journal of Advanced Computing and Communication Systems

ISSN (Online) : 2347 - 9299

ISSN (Print) : 2347 - 9280

Received On :

Revised On :

Accepted On :

Published On :

Volume 01, Issue 03

Page No : 011-013

Abstract

There is ample research present on haptics and thehaptic technology is actively applied in numerous engineering applications. However, little research is present in training machines the perception of human touch. We introduce a novel method for training machines the perception of hardness of the object being presented to the machine’s surface. The machine simulates the sensory perception process in humans to perceive the hardness of the object. The simulation is done using neural networks. The training of the network is achieved using samples obtained from human subjects. Similar to humans, the trained network successfully rates the hardness of the object.

Keywords

tactile, pressure, hardness, haptics, sensing, neural network, humanoid.

Cite this Article

Mihir Ganu, Sanket Sharma and Moksharth Doshi, “Simulation of Human Tactile Perception using Neural Networks,” International Journal of Advanced Computing and Communication Systems, pp. 011-013, November, 2014.

Copyright

© 2014 Mihir Ganu, Sanket Sharma and Moksharth Doshi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.