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Inferring User Sleep Patterns

  • US 20160292584A1
  • Filed: 03/31/2015
  • Published: 10/06/2016
  • Est. Priority Date: 03/31/2015
  • Status: Abandoned Application
First Claim
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1. A computerized system comprising:

  • one or more sensors configured to provide sensor data reflecting user activity detected by the one or more sensors and;

    a sleep model engine configured to train a user sleep model associated with a user based at least in part on previously-sensed interaction data comprised of sensor data provided at a first time;

    one or more processors; and

    one or more computer storage media storing computer-useable instructions that, when used by the one or more processors, cause the one or more processors to perform operations comprising;

    populating, using the sleep model engine, an interaction dataset based at least in part on the previously-sensed interaction data;

    training the user sleep model by analyzing the interaction dataset to identify one or more sleep-related features and sleep-related logic that maps sensor data to the one or more sleep-related features and defines logical relationships between the one or more sleep-related features and sleep-related inferences; and

    evaluating currently-sensed interaction data comprised of sensor data provided at a second time subsequent to the first time, with the user sleep model to determine a sleep-related inference.

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