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 describes changes in a size of a pupil of the eye due to dilation and constriction of the pupil, 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;
analyzing the ocular metadata to identify patterns in the changes in the size of the pupil of the eye, wherein the patterns in the changes in the size of the pupil comprises a rate of changes in the size of the pupil, a degree of change in the size of the pupil, a number of changes in the size of the pupil, and wherein the patterns in the changes in the size of the pupil indicates any external stimuli associated with the changes in the size of the pupil; and
responsive to the patterns of ocular movements and 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, wherein the person of interest is subject to an increased level of monitoring.
1 Assignment
0 Petitions
Accused Products
Abstract
Detecting behavioral deviations in members of a cohort group is provided. 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.
-
Citations
21 Claims
-
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 describes changes in a size of a pupil of the eye due to dilation and constriction of the pupil, 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; analyzing the ocular metadata to identify patterns in the changes in the size of the pupil of the eye, wherein the patterns in the changes in the size of the pupil comprises a rate of changes in the size of the pupil, a degree of change in the size of the pupil, a number of changes in the size of the pupil, and wherein the patterns in the changes in the size of the pupil indicates any external stimuli associated with the changes in the size of the pupil; and responsive to the patterns of ocular movements and 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, 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. A computer program product for detecting behavioral deviations in members of a cohort group, the computer program product comprising:
-
a computer readable storage device; program code stored on the computer readable storage device 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 describes changes in a size of a pupil of the eye due to dilation and constriction of the pupil, 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 storage device for analyzing the ocular metadata using a set of data models to identify patterns of ocular movements; program code stored on the computer readable storage device for analyzing the ocular metadata to identify patterns in the changes in the size of the pupil of the eye, wherein the patterns in the changes in the size of the pupil comprises a rate of changes in the size of the pupil, a degree of change in the size of the pupil, a number of changes in the size of the pupil, and wherein the patterns in the changes in the size of the pupil indicates 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 in response to the patterns of ocular movements and the changes in the size of the pupil of the eye 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 (11, 12, 13, 14)
-
-
15. An apparatus comprising:
-
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 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 describes changes in a size of a pupil of the eye due to dilation and constriction of the pupil, 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;
analyze the ocular metadata to identify patterns in the changes in the size of the pupil of the eye, wherein the patterns in the changes in the size of the pupil comprises a rate of changes in the size of the pupil, a degree of change in the size of the pupil, a number of changes in the size of the pupil, and wherein the patterns in the changes in the size of the pupil indicates 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 in response to the patterns of ocular movements and the changes in the size of the pupil of the eye 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 (16, 17, 18)
-
-
19. A data processing system for detecting behavioral deviations in members of a cohort group, the data processing system comprising:
-
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 describes changes in a size of a pupil of the eye due to dilation and constriction of the pupil, and wherein the ocular metadata is generated automatically in real time as the images of the eye movements are received; and 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 patterns in the changes in the size of the pupil of the eye, wherein the patterns in the changes in the size of the pupil comprises a rate of changes in the size of the pupil, a degree of change in the size of the pupil, a number of changes in the size of the pupil, and wherein the patterns in the changes in the size of the pupil indicates any external stimuli associated with 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 in response to the patterns of ocular movements and the changes in the size of the pupil of the eye indicating behavioral deviations in the member of the cohort group. - View Dependent Claims (20, 21)
-
Specification