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Automatic Recognition of Low Resolution Tactile Sensing Data Using Rapid Transformation

  • Kai-Kuang Ma
  • Paul P. Wang
  • Jack Rebman
Part of the NATO ASI Series book series (volume 11)

Abstract

A pattern is the description of an object that is sensed by appropriate hardware to form a useful data set, which in turn can be processed by a computer. In this paper, we concentrate on a class of patterns arising from geometrical figure approximations as encountered in robotics applications. A wide assortment of devices and systems exists today for data sensing of the environment in the robotics world. Generally speaking, we can classify them into two major classes: non-contact sensing and contact sensing. Non-contact sensing includes optical, sonic, ultrasonic, and magnetic ranging. Contact sensing is the area of tactile sensing with which this research is primarily concerned. A suitable definition of tactile sensing is expressed as continuously variable touch sensing over an array with a certain spatial resolution.

Keywords

Recognition Rate Test Pattern Character Recognition Learning Base Standard Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1984

Authors and Affiliations

  • Kai-Kuang Ma
    • 1
  • Paul P. Wang
    • 1
  • Jack Rebman
    • 1
  1. 1.Department of Electrical Engineering School of EngineeringDuke UniversityDurhamUSA

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