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Volume 1, Issue 3, November 2014

Simulation of Human Tactile Perception using Neural Networks

Mihir Ganu Sanket Sharma Moksharth Doshi

  • 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.


  • Author Affiliations

    Mihir Ganu 1

    Sanket Sharma 1

    Moksharth Doshi 1

    1. Sardar Patel Institute of Technology, University of Mumbai,India
  • Dates

    Manuscript received : 02 January 2014
    Manuscript revised   : 01 March 2014
    Accepted                     : 20 May 2014

 
  • Cite this article as:
    Mihir Ganu, Sanket Sharma, Moksharth Doshi P.Kavinmalar& B.Jaishankar, Int.j.of IJACCS(2014).


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Print ISSN           : 2347 - 9280
Online ISSN        : 2347 - 9299
Publisher Name  : Sri Eshwar Publications, Coimbatore, Tamilnadu, India.

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