Location-based context is important for many applications. Previous systems offered only coarse room-level features or used manually specified room regions to determine fine-scale features. We propose a location context mechanism based on activity maps, which define regions of similar context based on observations of 3-D patterns of location and motion in an environment. We describe an algorithm for obtaining activity maps using the spatio-temporal clustering of visual tracking data. We show how the recovered maps correspond to regions for common tasks in the environment and describe their use in some applications.
Activity maps for location-aware computing
01.01.2002
348047 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Activity Maps for Location-Aware Computing
British Library Conference Proceedings | 2002
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