Volume 1, Issue 3, November 2014
Simulation of Human Tactile Perception using Neural Networks
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 .
Tactile; Pressure; Hardness; Haptics; Sensing; Neural network; Humanoid.
Mihir Ganu 1
Sanket Sharma 1
Moksharth Doshi 1
- Sardar Patel Institute of Technology, University of Mumbai,India
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).
Print ISSN : 2347 - 9280
Online ISSN : 2347 - 9299
Publisher Name : Sri Eshwar Publications, Coimbatore, Tamilnadu, India.