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Detecting and modeling temporal computer activity patterns

  • US 7,974,849 B1
  • Filed: 05/21/2003
  • Issued: 07/05/2011
  • Est. Priority Date: 08/12/2002
  • Status: Active Grant
First Claim
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1. A method, comprising operations of:

  • a) accessing a database of activity data based on presence information of an individual at a location and gathered over time;

    b) for a selected weekday, computing probabilities over time that said individual is present at said location during said selected weekday;

    c) based on said probabilities, determining estimated features of inactivity that correspond to said selected weekday;

    d) searching said database for a plurality of feature instances corresponding to a first feature of said estimated features of inactivity;

    e) computing probability distributions of characteristics of said plurality of feature instances and storing, in computer memory, said probability distributions along with an identifier of said first feature as an activity rhythm model of said first feature, wherein said characteristics of said plurality of feature instances comprise a start-time, and end-time, and a duration and wherein further said probability distributions of said activity rhythm model of said first feature comprise a start-time distribution, an end-time distribution, a duration distribution, and a frequency of occurrence metric; and

    f) displaying a view in a graphical user interface in a time management application, wherein the view depends on the activity rhythm model, wherein each operation of the method is executed by a microprocessor.

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