ONR Annual Review 1997. Tactile Sensing and Information Processing for Man and Machine Systems.

Abstract

Haptic interfaces, that apply forces to the fingertips of a human operator, can be classified as grounded or ungrounded. Grounded devices, such as SensAble Devices' Phantom or Immersion's Impulse Engine, are attached to a stationary object such as a desk. When the operator touches a virtual wall, a contact force is applied through the interface, inhibiting further motion. For ungrounded devices a contact force is felt but there is no impediment to motion of the arm. Little prior research has been done on the perceptual effects of displaying contacts with virtual objects using an ungrounded haptic interface. Experiments were conducted at Stanford to compare how accurately subjects could identify contacts with virtual walls using ungrounded versus grounded feedback. Two haptic interfaces were constructed and operated in three modes: with grounded force feedback applied to the wrist, with ungrounded forces applied to the fingertips, and with grounded wrist forces in addition to fingertip forces. Tests were conducted to see how quickly subjects could arrest motion upon sensing contact (measured as virtual boundary penetration) and how accurately they could distinguish among objects of different size.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1997
Accession Number
ADA329927

Entities

People

  • Gregory Kovacs
  • M. R. Cutkosky
  • Robert Howe
  • Roger Brockett

Organizations

  • Stanford University

Tags

Communities of Interest

  • Autonomy
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Automation
  • Autonomous Systems
  • Biomechanical Engineering
  • Closed Loop Systems
  • Control Systems
  • Detectors
  • Differential Equations
  • Engineering
  • Haptics
  • Human Supervisory Control
  • Human Systems Integration
  • Information Processing
  • Mechanical Engineering
  • Models
  • Prototypes
  • Robotics
  • Virtual Reality

Readers

  • Electrical Engineering
  • Robotics and Automation.
  • Systems Analysis and Design