Detecting Behavioral Deviations by Measuring Respiratory Patterns in Cohort Groups
First Claim
1. A computer implemented method for detecting behavioral deviations in members of a cohort group, the computer implemented method comprising:
- identifying a member of the cohort group, wherein each member of the cohort group shares a common characteristic;
retrieving respiratory metadata associated with the member of the cohort group in real-time as the respiratory metadata is generated, wherein the respiratory metadata describes respiration associated with the member of the cohort group;
identify patterns of respiratory changes using the respiratory metadata, wherein the respiratory metadata is analyzed to identify the patterns of respiratory changes; and
responsive to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group, identifying the member of the cohort group as a person of interest.
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Abstract
A computer implemented method, apparatus, and computer usable program code for detecting behavioral deviations in members of a cohort group. In one embodiment, a member of a cohort group is identified. Each member of the cohort group shares a common characteristic. Respiratory metadata associated with the member of the cohort group is received in real-time as the respiratory metadata is generated. The respiratory metadata describes respiration associated with the member of the cohort group. Patterns of respiratory changes are identified using the respiratory metadata. The respiratory metadata is analyzed to identify the patterns of respiratory changes. In response to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group, the member of the cohort group is identified as a person of interest.
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Citations
25 Claims
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1. A computer implemented method for detecting behavioral deviations in members of a cohort group, the computer implemented method comprising:
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identifying a member of the cohort group, wherein each member of the cohort group shares a common characteristic; retrieving respiratory metadata associated with the member of the cohort group in real-time as the respiratory metadata is generated, wherein the respiratory metadata describes respiration associated with the member of the cohort group; identify patterns of respiratory changes using the respiratory metadata, wherein the respiratory metadata is analyzed to identify the patterns of respiratory changes; and responsive to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group, identifying the member of the cohort group as a person of interest. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A computer program product for detecting behavioral deviations in members of a cohort group, the computer program product comprising:
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a computer readable medium; program code stored on the computer readable medium for identifying a member of the cohort group, wherein each member of the cohort group shares a common characteristic; program code stored on the computer readable medium for retrieving respiratory metadata associated with the member of the cohort group in real-time as the respiratory metadata is generated, wherein the respiratory metadata describes respiration associated with the member of the cohort group; program code stored on the computer readable medium for identifying patterns of respiratory changes using the respiratory metadata, wherein the respiratory metadata is analyzed to identify the patterns of respiratory changes; program code stored on the computer readable medium for identifying the member of the cohort group as a person of interest in response to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group. - View Dependent Claims (15, 16, 17, 18)
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19. An apparatus for detecting behavioral deviations in members of a cohort group, the computer implemented method comprising:
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an analysis server, wherein the analysis server identifies a member of the cohort group based on data associated with the member of the cohort group gathered in real time, and wherein each member of the cohort group shares a common characteristic; a video analysis system, wherein the video analysis system generates respiratory metadata associated with the member of the cohort group in real-time, wherein the respiratory metadata describes respiration by the member of the cohort group; a respiratory pattern recognition engine, wherein the respiratory pattern recognition engine identifies patterns of respiratory changes associated with the respiration by the member of the cohort group using the respiratory metadata, wherein the respiratory metadata is analyzed to identify the patterns of respiratory changes; and a person of interest identification engine, wherein the person of interest identification engine identifies the member of the cohort group as a person of interest in response to the patterns of respiratory changes indicating behavioral deviations by the member of the cohort group. - View Dependent Claims (20, 21, 22, 23, 24, 25)
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Specification