Speech-Enabled Augmented Reality Supporting Mobile Industrial Maintenance
Dokumenttyp:
Konferenzbeitrag
Autor(en):
Goose, S.; Sudarsky, S.; Zhang, X.; Navab, N.
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.