MULTIVARIATE DYNAMIC PROFILING SYSTEM AND METHODS

• US 20110109879A1
• Filed: 11/09/2010
• Published: 05/12/2011
• Est. Priority Date: 11/09/2009
• Status: Abandoned Application

• Current Assignee: Daphna Palti-Wasserman, Noa Urman, Yoram Wasserman
• Original Assignee: Daphna Palti-Wasserman, Noa Urman, Yoram Wasserman
• Inventors: Wasserman, Yoram, Palti-Wasserman, Daphna, Urman, Noa
• Application Number:
  US12/942,129
• Publication Number:
  US 20110109879A1
• Time in Patent Office: Days
• US Class Current: 351/209
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/163 by tracking eye movement, gaze, or pupil change
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety

Abstract

There provided herein a system for profiling a personal aspect of a subject, the system comprising a processor adapted to select at least one visual stimulus from a database comprising a multiplicity of visual stimuli and at least one evoking stimulus from a database comprising a multiplicity of evoking stimuli; and at least one sensor adapted to acquire at least one eye response of a subject to said visual stimulus; wherein said processor is further adapted to perform processing and analysis of said visual stimulus, said evoking stimulus and said eye response, for profiling at least one personal aspect of said subject.

Claims

1. A method for profiling a personal aspect of a subject, the method comprising the steps of:

subjecting a subject to;

at least one visual stimulus selected from a stimulus database comprising a multiplicity of stimuli; and

to

at least one evoking stimulus selected from a database of evoking stimuli;

acquiring at least one eye response from said subject to said visual stimulus; and

processing said eye response, said visual stimulus and said evoking stimulus for profiling at least one personal aspect of said subject.

2. The method of claim 1, wherein said evoking stimulus and said visual stimulus are the same stimulus.

3. The method of claim 1, wherein features are extracted from said eye response.

4. The method of claim 1, wherein said processing comprises using a class database.

5. The method of claim 4, wherein said class database comprises either a generic baseline, or an intrinsic baseline or a personal enrolled baseline or any combination thereof.

6. The method of claim 4, wherein said processing said eye response and said visual stimulus comprises pattern recognition analysis.

7. The method of claim 1, wherein said visual stimulus comprises a target moving and halting in a predefined trajectory.

8. The method of claim 1, wherein said eye response comprise fixation, gaze, saccades, convergence, rolling, pursuit, nystagmus, drift and microsaccades, physiological nystagmus pupil size, pupil dynamic, blinking or any combination thereof.

9. The method of claim 1, wherein said personal aspect comprises state of mind, level of stress, intensions, anxiety, fear, attentiveness, dislike, alertness, honesty, talents, concentration level, personal characteristics, emotions, preferences, mentality, drunkenness level, toxic level, background/memories or any combination thereof.

10. The method of claim 1, wherein said processing said eye response and said visual stimulus are used for identifying a user and profiling at least one personal aspect of said subject.

11. A system for profiling a personal aspect of a subject, the system comprising:

a processor adapted to select;

at least one visual stimulus from a database comprising a multiplicity of visual stimuli; and

at least one evoking stimulus from a database comprising a multiplicity of evoking stimuli;

and

at least one sensor adapted to acquire at least one eye response of a subject to said visual stimulus,

wherein said processor is further adapted to perform processing and analysis of said visual stimulus, said evoking stimulus and said eye response, for profiling at least one personal aspect of said subject.

12. The system of claim 11 wherein said evoking stimulus and said visual stimulus are the same stimulus.

13. The system of claim 11, wherein said processor is further adapted to extract features from said eye response.

14. The system of claim 11, wherein said processor is adapted to use a class database.

15. The system of claim 14, wherein said class database comprises either a generic baseline, or an intrinsic baseline or a personal enrolled baseline or any combination thereof.

16. The system of claim 14, wherein said processor is further adapted to perform pattern recognition analysis.

17. The system of claim 11, wherein said visual stimulus comprises a target moving and halting in a predefined trajectory.

18. The system of claim 11, wherein said eye response comprises fixation, gaze, saccades, convergence, rolling, pursuit, nystagmus, drift and microsaccades, physiological nystagmus pupil size, pupil dynamic, blinking or any combination thereof.

19. The system of claim 11, wherein said personal aspect comprises state of mind, level of stress, intensions, anxiety, fear, attentiveness, dislike, alertness, honesty, talents, concentration level, personal characteristics, emotions, preferences, mentality, drunkenness level, toxic level, background/memories or any combination thereof.

20. The system of claim 11, wherein said processor is further adapted to establish the subject'"'"'s identity and to profile at least one personal aspect of said subject.