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In this paper we present a classification of human movement in physical space into spatio-temporal activities (STAs) and classes thereof. Drawing from our experiences with real human data from GPS traces we define a clustering approach for STA extraction based on the amount of motion of the user in space and time. Our solution captures these properties in a lightweight online algorithm that can run...
A sensor uses nearby sensors to collect information and sends the information to sinks. Then, the sink forwards this collected information to users. However, if the purpose of these sensors is not to collect general data but to sense the movement of movement objects, it is difficult to sense fast moving objects with a clustering technique, which is used to collect general data. In this paper we propose...
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