We have been developing a networked wearable AR system that determines the user's current context to provide appropriate annotations. This system allows for annotation management based on the relationship between annotations and the real environment along with data transfer routines that dynamically calculate annotations' priority to transfer just enough data from the annotation server to the wearable PC worn by the user. Furthermore, this system recognizes the user's activity to predict the kind and level of detail of annotations the user needs at a given time. This information can be used for dynamic annotation filtering and switching of rendering modes. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Takada, D., Ogawa, T., Kiyokawa, K., & Takemura, H. (2009). A context-aware AR navigation system using wearable sensors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5612 LNCS, pp. 793–801). https://doi.org/10.1007/978-3-642-02580-8_87
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