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Method and system for modeling user movement in an environment, and method and system for modeling the geometry of a sensor network in an environment
Method and system for modeling user movement in an environment, and method and system for modeling the geometry of a sensor network in an environment
A method models movement of users in an environment including sensors connected in a network. Events due to movement of the users are detected at the sensors and each event is labeled according to a particular sensor and time of the event. The events for each sensor are summed into a corresponding histogram time interval bin. A plurality of co-occurrence matrices are generated from the histograms according to maths id="MATH-US-00001" num="00001" MATH OVERFLOW="SCROLL" MROW MROW MSUB MIC/MI MROW MIi/MI MO,/MO MIj/MI MO,/MO MIdelta/MI /MROW /MSUB MO=/MO MROW MUNDEROVER MO∑/MO MROW MIt/MI MO=/MO MN0/MN /MROW MIT/MI /MUNDEROVER MO/MO MSTYLE mspace width="0.3em" height="0.3ex"/ /MSTYLE MO/MO MROW MSUB MIH/MI MROW MIi/MI MO,/MO MIt/MI /MROW /MSUB MO/MO MSUB MIH/MI MROW MIj/MI MO,/MO MROW MIt/MI MO+/MO MIdelta/MI /MROW /MROW /MSUB /MROW /MROW /MROW MO,/MO /MROW /MATH /MATHS where i and j represent each possible pair of sensors, delta represent time-off-sets, T is a total time for the detecting, t represents a particular time, and H represents the histogram time interval bins. The co-occurrence matrices can be used to determine a geometry of the network, and for predicting future activities signaled by terminating events.
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