Performance Based Design of a New Virtual Locomotion Control

Abstract

The ability to simulate walking around in the environment is a key element missing from most of today's joint forces simulations A number of sensor-based techniques are widely used to maneuver through Virtual Environments but they introduce artifacts into the interaction Mechanical motion platforms have also been applied to surmount these difficulties, but they tend to exhibit different but equally troublesome side effects of their own. This paper examines the interrelationships between virtual motion control and other critical actions soldiers need to perform in VE. The goal is to allow the user to maneuver through VE in as similar a manner as possible to walking through the real world. If the interactions between different controls and sensory feedback can be made comparable to the interaction between actions in the real world, then there is hope for constructing an effective new technique. human performance requirements are viewed from an analytical standpoint: pointing out the interactions between a full set of virtual controls that would allow the user to act, sense, and react to their environment. Candidate solutions are discussed as the analysis is developed This has lead us to a promising new design for sensor-based virtual locomotion called Gaiter, introduced in this paper.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2000
Accession Number
ADP010616

Entities

People

  • James Templeman

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computer Science
  • Control Systems
  • Directional
  • Information Systems
  • Military Operations
  • Military Requirements
  • Military Research
  • Motion Sickness
  • Orientation (Direction)
  • Pattern Recognition
  • Psychology
  • Simulators
  • Software Development
  • Students
  • Surfaces
  • Training
  • Virtual Reality

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Robotics and Automation.
  • Systems Analysis and Design