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:
- generating ocular metadata associated with a member of a cohort group using images of eye movements captured by a set of cameras, wherein the ocular metadata describes movements of an eye of the member of the cohort group, and wherein the ocular metadata is generated automatically in real time as the images of the eye movements are received;
analyzing the ocular metadata using a set of data models to identify patterns of ocular movements; and
responsive to the patterns of ocular movements indicating behavioral deviations in the member of the cohort group, identifying the member of the cohort group as a person of interest, wherein the person of interest is subject to an increased level of monitoring.
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Abstract
According to one embodiment of the present invention, a computer implemented method, apparatus, and computer usable program product is provided for detecting behavioral deviations in members of a cohort group. A member of a cohort group is identified. Each member of the cohort group shares a common characteristic. Ocular metadata associated with the member of the cohort group is generated in real-time. The ocular metadata describes movements of an eye of the member of the cohort group. The ocular metadata is analyzed to identify patterns of ocular movements. In response to the patterns of ocular movements indicating behavioral deviations in the member of the cohort group, the member of the cohort group is identified as a person of interest. A person of interest may be subjected to an increased level of monitoring and/or other security measures.
80 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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generating ocular metadata associated with a member of a cohort group using images of eye movements captured by a set of cameras, wherein the ocular metadata describes movements of an eye of the member of the cohort group, and wherein the ocular metadata is generated automatically in real time as the images of the eye movements are received; analyzing the ocular metadata using a set of data models to identify patterns of ocular movements; and responsive to the patterns of ocular movements indicating behavioral deviations in the member of the cohort group, identifying the member of the cohort group as a person of interest, wherein the person of interest 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 medium; program code stored on the computer readable medium for generating ocular metadata associated with a member of a cohort group using images of eye movements captured by a set of cameras, wherein the ocular metadata describes movements of an eye of the member of the cohort group, and wherein the ocular metadata is generated automatically in real time as the images of the eye movements are received; program code stored on the computer readable medium for analyzing the ocular metadata using a set of data models to identify patterns of ocular movements; and 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 ocular movements indicating behavioral deviations in the member of the cohort group, wherein the person of interest is subject to an increased level of monitoring. - 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 memory connected to the bus system, wherein the memory includes computer usable program code; and a processing unit coupled to the bus system, wherein the processing unit executes the computer usable program code to generate ocular metadata associated with a member of a cohort group using images of eye movements captured by a set of cameras, wherein the ocular metadata describes movements of an eye of the member of the cohort group, and wherein the ocular metadata is generated automatically in real time as the images of the eye movements are received;
analyze the ocular metadata using a set of data models to identify patterns of ocular movements; and
identify the member of the cohort group as a person of interest, wherein the person of interest is subject to an increased level of monitoring in response to the patterns of ocular movements 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, wherein the video analysis system generates ocular metadata associated with a member of a cohort group using images of eye movements associated with the member of the cohort group, wherein the images of the eye movements are captured by a set of cameras, wherein the ocular metadata describes movements of an eye of the member of the cohort group, and wherein the ocular metadata is generated automatically in real time as the images of the eye movements are received; an analysis server, wherein the analysis server analyzes the ocular metadata using analytics and a set of data models to identify patterns of ocular movement, and wherein the analysis server identifies the member of the cohort group as a person of interest in response to the patterns of ocular movements indicating behavioral deviations in the member of the cohort group. - View Dependent Claims (23, 24, 25)
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Specification