SYSTEM FOR ANALYZING EYE RESPONSES TO ACCURATELY DETECT DECEPTION

• US 20090216092A1
• Filed: 02/26/2008
• Published: 08/27/2009
• Est. Priority Date: 02/26/2008
• Status: Abandoned Application

• Current Assignee: AcuNetx, Inc.
• Original Assignee: AcuNetx, Inc.
• Inventors: Waldorf, Ronald, Mauch, Barbara
• Application Number:
  US12/037,686
• Publication Number:
  US 20090216092A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 3/005 Constructional features of the display
• CPC Class Codes: A61B 3/11 for measuring interpupillary distance or diameter of pupils
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/1135 by monitoring thoracic expansion
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/163 by tracking eye movement, gaze, or pupil change
• CPC Class Codes: A61B 5/164 Lie detection

Abstract

The present system for analyzing eye responses to automatically detect deception obtains a series of digital image frames from a headset. This system precisely controls the illumination generated by the headset to bias the subject'"'"'s pupils and automatically and precisely determine the subject'"'"'s pupil location, size, and responsiveness. These measurements enable the system for analyzing eye responses to automatically detect deception by accurately measuring the subject'"'"'s involuntary pupillary responses to questions posed by an examiner. These measurements can be used exclusively or in combination with one or more of the standard elements of the polygraph machine to automatically detect deception.

Claims

1. A Deception Detection System for automatically identifying a subject'"'"'s attempt at deception in response to being presented with a set of questions by an examiner, comprising:

image means for generating a time-wise sequence of digital images of at least one of the subject'"'"'s eyes, said sequence of digital images being of duration at least sufficient to include the time when said subject is being presented with a question by an examiner and when said subject is answering said question;

digital image processing means for computing a size of a pupil of at least one of said subject'"'"'s eyes in said plurality of said digital images in said sequence of digital images; and

deception determining means, responsive to said determined size of said pupil in said plurality of said digital images in said sequence of digital images, for determining whether said subject is attempting to provide a deceptive answer to said question.

2. The Deception Detection System of claim 1 wherein said deception determining means comprises:

pupil responsiveness means for determining a dynamic response of said pupil size during said sequence of digital images.

3. The Deception Detection System of claim 2 wherein said deception determining means further comprises:

pattern means for comparing said dynamic response of said pupil size during said sequence of digital images with a normal response of pupil size to identify an anomalous response of said subject'"'"'s pupil.

4. The Deception Detection System of claim 2, further comprising:

display means for presenting said examiner with a visual representation of said dynamic response of said pupil size during said sequence of digital images.

5. The Deception Detection System of claim 1 wherein said deception determining means comprises:

pattern means for identifying a departure of said determined size of said pupil in said sequence of digital images against normal pupil size.

6. The Deception Detection System of claim 1, further comprising:

polygraph means for generating data indicative of at least one of Respiratory Rate, Blood Pressure/Heart Rate, and Galvanic Skin Resistance measurements of said subject, said data being at least sufficient to include the time when said subject is being presented with a question by an examiner and when said subject is answering said question; and

correlation means for correlating said data indicative of at least one of Respiratory Rate, Blood Pressure/Heart Rate, and Galvanic Skin Resistance measurements of said subject with said determined size of said pupil in said plurality of said digital images in said sequence of digital images.

7. The Deception Detection System of claim 6 wherein said deception determining means comprises:

pattern means for comparing said data indicative of at least one of Respiratory Rate, Blood Pressure/Heart Rate, and Galvanic Skin Resistance measurements of said subject and said determined size of said pupil in said plurality of said digital images in said sequence of digital images with a normal response of a subject to identify an anomalous response of said subject.

8. The Deception Detection System of claim 1, further comprising:

illumination control means for generating a level of illumination for at least one of said subject'"'"'s eyes to bias said pupil to a predetermined size prior to administration of said questions.

9. A method for automatically identifying a subject'"'"'s attempt at deception in response to being presented with a set of questions by an examiner, comprising:

generating a time-wise sequence of digital images of at least one of the subject'"'"'s eyes, said sequence of digital images being of duration at least sufficient to include the time when said subject is being presented with a question by an examiner and when said subject is answering said question;

computing a size of a pupil of at least one of said subject'"'"'s eyes in said plurality of said digital images in said sequence of digital images; and

determining, in response to said determined size of said pupil in said plurality of said digital images in said sequence of digital images, whether said subject is attempting to provide a deceptive answer to said question.

10. The method for automatically identifying a subject'"'"'s attempt at deception of claim 9 wherein said step of determining deception comprises:

determining a dynamic response of said pupil size during said sequence of digital images.

11. The method for automatically identifying a subject'"'"'s attempt at deception of claim 10 wherein said step of determining deception further comprises:

comparing said dynamic response of said pupil size during said sequence of digital images with a normal response of pupil size to identify an anomalous response of said subject'"'"'s pupil.

12. The method for automatically identifying a subject'"'"'s attempt at deception of claim 10, further comprising:

presenting a visual representation to said examiner of said dynamic response of said pupil size during said sequence of digital images.

13. The method for automatically identifying a subject'"'"'s attempt at deception of claim 9 wherein said step of determining deception comprises:

identifying a departure of said determined size of said pupil in said sequence of digital images against normal pupil size.

14. The method for automatically identifying a subject'"'"'s attempt at deception of claim 9, further comprising:

generating data indicative of at least one of Respiratory Rate, Blood Pressure/Heart Rate, and Galvanic Skin Resistance measurements of said subject, said data being at least sufficient to include the time when said subject is being presented with a question by an examiner and when said subject is answering said question; and

correlating said data indicative of at least one of Respiratory Rate, Blood Pressure/Heart Rate, and Galvanic Skin Resistance measurements of said subject with said determined size of said pupil in said plurality of said digital images in said sequence of digital images.

15. The method for automatically identifying a subject'"'"'s attempt at deception of claim 14 wherein said step of determining deception comprises:

comparing said data indicative of at least one of Respiratory Rate, Blood Pressure/Heart Rate, and Galvanic Skin Resistance measurements of said subject and said determined size of said pupil in said plurality of said digital images in said sequence of digital images with a normal response of a subject to identify an anomalous response of said subject.

16. The method for automatically identifying a subject'"'"'s attempt at deception of claim 9, further comprising:

generating a level of illumination for at least one of said subject'"'"'s eyes to bias said pupil to a predetermined size prior to administration of said questions.