METHOD AND SYSTEM FOR DETERMINING FAMILIARITY WITH STIMULI
First Claim
Patent Images
1. A method for determining a subject'"'"'s familiarity with given stimuli comprising steps of:
- a. providing an eye-movement detection camera adapted to capture and record eye movement data of said subject;
b. providing a display means, adapted for presentation of said stimuli to said subject,c. providing a computing platform in communication with said camera, adapted for analyzing said eye movement data;
d. presenting said subject with a stimulus;
e. recording eye movements data associated with said subject'"'"'s response to said stimulus, by said eye-movement detection camera and said computing platform; and
f. determining, based on said eye movement data, a familiarity category selected from multiple familiarity categories, wherein said familiarity category defines a familiarity of said subject with said stimulus.
1 Assignment
0 Petitions
Accused Products
Abstract
The present invention comprises a system and method for determining the familiarity of a subject with a given stimulus. The method is based on tracking eye movements of the subject when they are presented with these stimuli, for example by use of an eye-tracking camera adapted for this purpose. Differences in familiarity with a given stimulus will evoke different responses in subjects eye movements, and these differences are analyzed by a classification algorithm in order to determine familiarity with a given stimulus or lack thereof.
75 Citations
22 Claims
-
1. A method for determining a subject'"'"'s familiarity with given stimuli comprising steps of:
-
a. providing an eye-movement detection camera adapted to capture and record eye movement data of said subject; b. providing a display means, adapted for presentation of said stimuli to said subject, c. providing a computing platform in communication with said camera, adapted for analyzing said eye movement data; d. presenting said subject with a stimulus; e. recording eye movements data associated with said subject'"'"'s response to said stimulus, by said eye-movement detection camera and said computing platform; and f. determining, based on said eye movement data, a familiarity category selected from multiple familiarity categories, wherein said familiarity category defines a familiarity of said subject with said stimulus. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 18, 19)
-
-
10. A system for determining a subject'"'"'s familiarity with given stimuli consisting of:
-
a. display means adapted for presentation of said stimuli to said subject, b. an eye-movement detection camera adapted to capture and record eye movement data, associated with said subject'"'"'s response to a stimulus; and c. a computing platform in communication with said camera, adapted for;
analyzing said eye movement data; and
determining, based on said eye movement data, a familiarity category selected from multiple familiarity categories, wherein said familiarity category defines a familiarity of said subject with said stimulus - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
-
-
20. A Method for detecting symptomatic behavior of lying comprising steps of:
-
a. determining a subject'"'"'s familiarity with given stimuli comprising steps of i. providing an eye-movement detection camera adapted to capture and record eye movement data of said subject; ii. providing a display means, adapted for presentation of said stimuli to said subject, iii. providing a computing platform in communication with said camera, adapted for analyzing said eye movement data; iv. presenting said subject with a stimulus; v. recording eye movements data associated with said subject'"'"'s response to said stimulus, by said eye-movement detection camera and said computing platform; and vi. determining, based on said eye movement data, a familiarity category selected from multiple familiarity categories, wherein said familiarity category defines a familiarity of said subject with said stimulus and b. implementing a lying detection technique on said subject and obtaining a lying detection result therefrom c. combining said lying detection result with said determined familiarity category such that an overall detection quality result is obtained. - View Dependent Claims (21)
-
-
22. A system for detecting symptomatic behavior of lying comprising
a. a system for determining a subject'"'"'s familiarity SSF with given stimuli consisting of: -
i. display means adapted for presentation of said stimuli to said subject, ii. an eye-movement detection camera adapted to capture and record eye movement data, associated with said subject'"'"'s response to a stimulus; and iii. a computing platform in communication with said camera, adapted for;
analyzing said eye movement data; and
determining, based on said eye movement data, a familiarity category selected from multiple familiarity categories, wherein said familiarity category defines a familiarity of said subject with said stimulusb. a lying detection system LDS for implementing a lying detection technique on said subject wherein said SSF and said LDS are operationally linked such that the output of said SSF may be combined with the output of said LDS to obtain a detection quality result with a more than additive accuracy of detection of symptomatic behavior of lying relative to the accuracy of detection of same obtained from either determining a subject'"'"'s familiarity with given stimuli or implementing a lying detection technique on said subject and obtaining a lying detection result therefrom alone.
-
Specification