A context-sensitive conceptual framework for activity modeling
Rahul Deb Das, Stephan Winter
JOURNAL OF SPATIAL INFORMATION SCIENCE | UNIV MAINE | Published : 2016
Human motion trajectories, however captured, provide a rich spatiotemporal data source for human activity recognition, and the rich literature in motion trajectory analysis provides the tools to bridge the gap between this data and its semantic interpretation. But activity is an ambiguous termacross research communities. For example, in urban transport research activities are generally characterized around certain locations assuming the opportunities and resources are present in that location, and traveling happens between these locations for activity participation, i.e., travel is not an activity, rather a mean to overcome spatial constraints. In contrast, in human-computer interaction (HCI..View full abstract
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Awarded by Australian Research Council
This research has been supported by a grant from the Australian Research Council, LP120200130.