Trend analysis for a neuro-linguistic behavior recognition system

A computer-readable storage medium storing instructions, which, when executed on a processor, perform an operation for detecting changes in a neuro-linguistic model comprising:

• 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.

A system, comprising:

• a processor;
• and
• memory storing code, which, when executed on a processor, perform an operation for detecting changes in a neuro-linguistic model comprising:
• 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.