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Predictive video analytics system and methods

  • US 9,437,215 B2
  • Filed: 01/15/2016
  • Issued: 09/06/2016
  • Est. Priority Date: 10/27/2014
  • Status: Active Grant
First Claim
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1. A video analytics system adapted to predict user behavior based on analysis of a video communication, which comprises:

  • a node comprising a processor and a non-transitory computer readable medium operably coupled thereto, the non-transitory computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, where the plurality of instructions comprises;

    instructions that, when executed, receive a video communication from a user, wherein the video communication comprises an audio component and a video component;

    instructions that, when executed, analyze the video component to provide time-coded video behavioral data from the user;

    instructions that, when executed, analyze the audio component to provide time-coded spoken words from the user;

    instructions that, when executed, associate the time-coded spoken words with the video behavioral data to determine an emotional state of the user;

    instructions that, when executed, collect biographical profile information specific to the user;

    instructions that, when executed, determine a personality type of the user by applying a linguistic-based algorithm to the spoken words, searching a density of keywords in the spoken words, and comparing the keywords to a library separated by different personality types; and

    instructions that, when executed, enter the collected biographical profile information, the emotional state, and the personality type into a predictive model, wherein the predictive model generates an indication of a likelihood of an outcome of the video communication.

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