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Tactile Sensor Signal Processing with Artificial Neural Networks

  • Bing Guo
  • Lan Qin
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 54)

Abstract

Tactile sensor array is the device that provides distributive information of force at the interface between the sensory surface and the object. Together with fine-form reconstruction and primitive recognition, it has to be the main feature of an artificial tactile system. The system presented here is based on the back propagation neural network model used to tactile pattern recognition. All the tactile data acquisition and processing model using a neural network model is programmed to realize the real-time and precise recognition of a contact force position, which enables the contact position of a constant force to be determined within accuracy. Experimental results show that the high level interpretation method for this system enables automatic determination of contact position and orientations in real time.

Keywords

Tactile Sensor Neural Networks Back Propagation Pattern Recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Bing Guo
    • 1
  • Lan Qin
    • 1
  1. 1.Key Lab of Optoelectronic Technology and Systems Ministry of EducationChongqing UniversityChongqingP.R. China

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