TREND ANALYSIS FOR A NEURO-LINGUISTIC BEHAVIOR RECOGNITION SYSTEM
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Apr 5, 2016
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Apr 5, 2016
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Abstract
Techniques are disclosed for detecting changes in a neuro-linguistic model. According to one embodiment, detecting changes in a neuro-linguistic model comprises receiving a first neuro-linguistic model, wherein the first neuro-linguistic model provides a set of statistical descriptions generated from a first set of input data received from one or more sensor devices during a first time period receiving a second neuro-linguistic model having a second set of statistical descriptions for second input data, wherein the second neuro-linguistic model provides a set of statistical descriptions of the second input data transmitted from the one or more sensor devices during a second time period, comparing the second set of statistical descriptions to the first set statistical descriptions to determine a set of matching statistical descriptions and generating a similarity score based on the matching statistical descriptions, and upon determining a trend change based on a comparison between the similarity score and a threshold, outputting an alert indication of trend change.
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