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Document type:
Konferenzbeitrag
Author(s):
Goose, S.; Sudarsky, S.; Zhang, X.; Navab, N.
Title:
Speech-Enabled Augmented Reality Supporting Mobile Industrial Maintenance
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:
CAMP,Journal,IEEE
Book / Congress title:
IEEE Pervasive Computing
Volume:
Volume 2, Issue 1
Year:
2003
Pages:
65--70
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