Title :
Speech-enabled augmented reality supporting mobile industrial maintenance
Author :
Goose, Stuart ; Sudarsky, Sandra ; Zhang, Xiang ; Navab, Nassir
Author_Institution :
Siemens Corp. Res. Inc., Princeton, NJ, USA
Abstract :
The SEAR (speech-enabled AR) framework uses flexible and scalable vision-based localization techniques to offer maintenance technicians a seamless multimodal user interface. The user interface juxtaposes a graphical AR view with a context-sensitive speech dialogue.
Keywords :
augmented reality; engineering computing; factory automation; maintenance engineering; mobile computing; portable computers; speech-based user interfaces; SEAR; context-sensitive speech dialogue; flexible scalable vision-based localization techniques; graphical AR view; mobile industrial maintenance; seamless multimodal user interface; speech-enabled AR; speech-enabled augmented reality; Augmented reality; Cameras; Communication industry; Containers; Engines; Navigation; Production facilities; Speech; Thyristors; User interfaces;
Journal_Title :
Pervasive Computing, IEEE
DOI :
10.1109/MPRV.2003.1186727
