Security system that detects atypical behavior
First Claim
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1. A system configured to identify atypical behavior, comprising:
- an eye tracker configured to perform tracking of a user'"'"'s gaze while viewing items;
an inward-facing head-mounted thermal camera (CAM) configured to take thermal measurements of a region of interest on the face (THROI) of the user; and
a computer configured to;
generate feature values based on THROI and the tracking; and
utilize a machine learning-based model to identify atypical behavior of the user based on the feature values;
wherein the machine learning-based model was trained based on previous tracking and previous THROI of the user, taken while viewing other items.
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Abstract
System and method that identify atypical behavior of a user. One embodiment of the system includes an eye tracker to perform tracking of a user'"'"'s gaze while viewing items, an inward-facing head-mounted thermal camera to take thermal measurements of a region of interest on the face (THROI) of the user, and a computer. The computer generates feature values based on THROI and the tracking, and utilizes a model to identify atypical behavior of the user based on the feature values. The model may be trained based on previous tracking and previous THROI of the user, taken while viewing other items.
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Citations
20 Claims
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1. A system configured to identify atypical behavior, comprising:
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an eye tracker configured to perform tracking of a user'"'"'s gaze while viewing items; an inward-facing head-mounted thermal camera (CAM) configured to take thermal measurements of a region of interest on the face (THROI) of the user; and a computer configured to; generate feature values based on THROI and the tracking; and utilize a machine learning-based model to identify atypical behavior of the user based on the feature values;
wherein the machine learning-based model was trained based on previous tracking and previous THROI of the user, taken while viewing other items. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method for identifying atypical behavior, comprising:
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tracking a user'"'"'s gaze while viewing items; taking, using an inward-facing head-mounted thermal camera, thermal measurements of a region of interest on the face (THROI) of a user; generating feature values based on THROI and the tracking; and utilizing a machine learning-based model to identify, based on the feature values, atypical behavior of the user;
wherein the machine learning-based model was trained based on previous tracking and previous THROI of the user, taken while viewing other items. - View Dependent Claims (18, 19, 20)
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Specification