Patent ID: 8345935
Filing Date: 2013-01-01
Classification: G06K

Abstract:
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.