Speech-Enabled Augmented Reality Supporting Mobile Industrial Maintenance

  • Authors:
  • Stuart Goose;Sandra Sudarsky;Xiang Zhang;Nassir Navab

  • Affiliations:
  • -;-;-;-

  • Venue:
  • IEEE Pervasive Computing
  • Year:
  • 2003

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Abstract

A maintenance technician who talks to pumps and pipes might not seem like the ideal person to entrust with keeping a factory running smoothly, but the mobile Speech-Enabled Augmented Reality framework could make such behavior in the future anything but suspicious. The SEAR framework uses flexible, scalable vision-based localization techniques to offer the technician a seamless multimodal user interface. The interface juxtaposes a graphical augmented-reality view with a context-sensitive speech dialogue concerning industrial equipment in the technician's immediate vicinity.