Detecting Behavioral Deviations by Measuring Eye Movements
First Claim
1. A computer implemented method for detecting behavioral deviations in members of a cohort group, the computer implemented method comprising:
- analyzing ocular metadata to identify patterns in changes in a size of a pupil of an eye of a member of the cohort group captured by a set of cameras, wherein the ocular metadata describes the changes in the size of the pupil of the eye due to dilation and constriction of the pupil, and wherein the patterns in the changes in the size of the pupil include a rate of changes in the size of the pupil, a degree of change in the size of the pupil, and a number of changes in the size of the pupil, and wherein the patterns in the changes in the size of the pupil indicate any external stimuli associated with the changes in the size of the pupil; and
responsive to the changes in the size of the pupil of the eye indicating behavioral deviations in the member of the cohort group, identifying the member of the cohort group as a person of interest that is subject to an increased level of monitoring.
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Abstract
Detecting behavioral deviations in members of a cohort group is provided. Ocular metadata is analyzed to identify patterns in changes in a size of a pupil of an eye of a member of the cohort group captured by a set of cameras. The ocular metadata describes the changes in the size of the pupil. The patterns in the changes in the size of the pupil include a rate of changes in the size of the pupil, a degree of change in the size of the pupil, and a number of changes in the size of the pupil. The patterns in the changes in the size of the pupil indicate any external stimuli associated with the changes in the size of the pupil. In responsive to the changes in the size of the pupil indicating behavioral deviations in the member, the member 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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analyzing ocular metadata to identify patterns in changes in a size of a pupil of an eye of a member of the cohort group captured by a set of cameras, wherein the ocular metadata describes the changes in the size of the pupil of the eye due to dilation and constriction of the pupil, and wherein the patterns in the changes in the size of the pupil include a rate of changes in the size of the pupil, a degree of change in the size of the pupil, and a number of changes in the size of the pupil, and wherein the patterns in the changes in the size of the pupil indicate any external stimuli associated with the changes in the size of the pupil; and responsive to the changes in the size of the pupil of the eye indicating behavioral deviations in the member of the cohort group, identifying the member of the cohort group as a person of interest that is subject to an increased level of monitoring. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. 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 storage device; program code stored on the computer readable storage device for analyzing ocular metadata to identify patterns in changes in a size of a pupil of an eye of a member of the cohort group captured by a set of cameras, wherein the ocular metadata describes the changes in the size of the pupil of the eye due to dilation and constriction of the pupil, and wherein the patterns in the changes in the size of the pupil include a rate of changes in the size of the pupil, a degree of change in the size of the pupil, and a number of changes in the size of the pupil, and wherein the patterns in the changes in the size of the pupil indicate any external stimuli associated with the changes in the size of the pupil; and program code stored on the computer readable storage device for identifying the member of the cohort group as a person of interest that is subject to an increased level of monitoring in response to the changes in the size of the pupil of the eye indicating behavioral deviations in the member of the cohort group. - View Dependent Claims (12, 13, 14, 15, 16)
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17. An apparatus comprising:
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a bus system; a communications system coupled to the bus system; a storage device connected to the bus system, wherein the storage device stores computer usable program code; and a processor unit coupled to the bus system, wherein the processor unit executes the computer usable program code to analyze ocular metadata to identify patterns in changes in a size of a pupil of an eye of a member of a cohort group captured by a set of cameras, wherein the ocular metadata describes the changes in the size of the pupil of the eye due to dilation and constriction of the pupil, and wherein the patterns in the changes in the size of the pupil include a rate of changes in the size of the pupil, a degree of change in the size of the pupil, and a number of changes in the size of the pupil, and wherein the patterns in the changes in the size of the pupil indicate any external stimuli associated with the changes in the size of the pupil; and
identify the member of the cohort group as a person of interest that is subject to an increased level of monitoring in response to the changes in the size of the pupil of the eye indicating behavioral deviations in the member of the cohort group. - View Dependent Claims (18, 19, 20, 21)
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22. A data processing system for detecting behavioral deviations in members of a cohort group, the data processing system comprising:
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a video analysis system that includes a retinal/iris analytics engine, wherein the retinal/iris analytics engine analyzes ocular metadata to identify patterns in changes in a size of a pupil of an eye of a member of the cohort group captured by a set of cameras, wherein the ocular metadata describes the changes in the size of the pupil of the eye due to dilation and constriction of the pupil, and wherein the patterns in the changes in the size of the pupil include a rate of changes in the size of the pupil, a degree of change in the size of the pupil, and a number of changes in the size of the pupil, and wherein the patterns in the changes in the size of the pupil indicate any external stimuli associated with the changes in the size of the pupil an analysis server, wherein the analysis server analyzes the ocular metadata using analytics and a set of data models to identify the patterns in the changes in the size of the pupil, and wherein the analysis server identifies the member of the cohort group as a person of interest that is subject to an increased level of monitoring in response to the changes in the size of the pupil of the eye indicating behavioral deviations in the member of the cohort group. - View Dependent Claims (23, 24, 25)
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Specification