Finite Memory Model for Haptic Recognition

Abstract

This study attempts to model the process by which humans identify remote objects using a force reflecting telemanipulator in order to apply this understanding to future ROV designs employing the concept of telepresence. A theoretical model is proposed in which object identification is independent primarily upon feature identification and capacity to remember the sequence of features. A computer simulation of this model is constructed and used to produce theoretical object identification performance which can be compared to actual human performance. The capacity of short term memory of a sequence of features is also studied in a laboratory using a telemanipulator.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1991
Accession Number
ADA245342

Entities

People

  • Philip G. Beierl

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Cognition
  • Computational Science
  • Computer Programs
  • Computer Simulations
  • Computer Vision
  • Computers
  • Identification
  • Mechanical Properties
  • Motor Skills
  • Object Recognition
  • Psychology
  • Remotely Piloted Vehicles
  • Seabed
  • Sensory Receptor Cells
  • Simulations
  • Telepresence
  • Visual Perception

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Robotics and Automation.
  • Theoretical Analysis.