Helmet Mounted Eye Tracking for Virtual Panoramic Displays. Volume 1: Review of Current Eye Movement Measurement Technology

Abstract

The virtual cockpit concept being developed by the Air Force will require a helmet mounted eye tracker to be integrated with a helmet-mounted virtual panoramic display (VPD). Eye tracker measurements will be used with prototype systems to assist in candidate display evaluation. Operationally, eye tracking will be used for eye controlled switch selection, cueing, eye-slaved aiming, and pilot state monitoring. Current eye tracking technology is reviewed in Volume I of this report. Relevant physiological considerations and the performance requirements implied by each of the above VPD tasks are thoroughly reviewed in Volume II. A pupil center-to-corneal reflex technique is proposed as the most suitable technique for a VPD eye tracker. The need for robustness and dependability in the virtual cockpit application can best be met by using a full two-dimensional solid state array detector and a system that makes the complete image available to a digital processor. Performance goals have been proposed that are feasible and will satisfy the virtual cockpit task requirements. An eye tracker design approach and prototype development plan have been outlined to meet these goals, including as examples, an analysis of possible optical paths for integration with the off-aperture and dual-mirror VPD designs.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1989
Accession Number
ADA308388

Entities

People

  • Joshua Borah

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Detection
  • Detectors
  • Eye
  • Eye Movements
  • Gray Scale
  • Human-Machine Interaction
  • Light Sources
  • Measurement
  • Optical Detectors
  • Optics
  • Pattern Recognition
  • Phototransistors
  • Recognition
  • Semiconductors
  • Two Dimensional
  • Video Recording

Readers

  • Human-Computer Interaction (HCI).
  • Software Engineering
  • Systems Analysis and Design