Title :
SEAR: towards a mobile and context-sensitive speech-enabled augmented reality
Author :
Goose, S. ; Sudarsky, Sandra ; Zhang, X. ; Navab, N.
Author_Institution :
Siemens Corporate Res., Princeton, NJ, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
A maintenance engineer who talks to pumps and pipes may not seem like the ideal person to entrust with keeping a factory running smoothly, but we hope that our mobile speech-enabled augmented reality (SEAR) framework will enable such behavior in the future to be anything but suspicious. We describe how the SEAR framework uses our flexible and scalable vision-based localization techniques to offer the engineer a seamless multi-modal user interface. This interface juxtaposes a graphical augmented reality view with a context-sensitive speech dialog concerning the industrial equipment located in the immediate vicinity.
Keywords :
augmented reality; maintenance engineering; speech processing; speech recognition; speech synthesis; user interfaces; 3D interaction techniques; graphical augmented reality view; industrial automation; industrial equipment; maintenance; multi-modal user interface; speech recognition; speech synthesis; speech-enabled augmented reality; vision-based localization techniques; Augmented reality; Containers; Educational institutions; Manufacturing automation; Navigation; Production facilities; Speech recognition; Speech synthesis; User interfaces; Virtual environment;
Conference_Titel :
Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on
Print_ISBN :
0-7803-7304-9
DOI :
10.1109/ICME.2002.1035915
