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Detecting an event from signals in a listening area

  • US 10,409,843 B1
  • Filed: 05/28/2019
  • Issued: 09/10/2019
  • Est. Priority Date: 04/27/2018
  • Status: Expired due to Fees
First Claim
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1. A method comprising:

  • receiving a raw signal including source data from a signal source;

    applying a transdimensionality transform to the raw signal lowering the dimensionality of the source data and re-encoding the raw signal into a Time, Location, Context (TLC) normalized signal of lower dimensionality, wherein context of the Time, Location, Context (TLC) normalized signal indicates an event type;

    determining that characteristics of the Time, Location, Context (TLC) normalized signal satisfy first detection model thresholds;

    detecting a potential event and identifying the Time, Location, Context (TLC) normalized signal as a trigger signal;

    applying natural language processing (NLP) to text associated with the trigger signal deriving search terms;

    querying a geo cell database with the search terms;

    receiving a geo cell that corresponds to the search terms;

    monitoring a geo cell listening area formed from the geo cell for signals related to the trigger signal;

    detecting another Time, Location, Context (TLC) normalized signal in the geo cell listening area as a related signal based at least in part on characteristics of the other Time, Location, Context (TLC) normalized signal satisfying the second detection model thresholds, the other Time, Location, Context (TLC) normalized signal including other normalized data of the lower dimensionality;

    obtaining a distance between dimensions of the trigger signal and corresponding dimensions of the related signal; and

    validating the potential event as an actual event of the event type based on characteristics of the trigger signal, characteristics of the related signal, and the obtained distance.

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