SYSTEMS AND METHODS FOR EVALUATING HUMAN EYE TRACKING

• US 20130293844A1
• Filed: 03/14/2013
• Published: 11/07/2013
• Est. Priority Date: 05/01/2012
• Status: Active Grant

• Current Assignee: RightEye, LLC
• Original Assignee: RightEye, LLC
• Inventors: GROSS, Adam Todd, HUNFALVAY, Melissa
• Granted Patent: US 8,864,310 B2
• Time in Patent Office: Days
• US Class Current: 351/209
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 3/0025 characterised by electronic signal processing, e.g. eye models
• CPC Class Codes: A61B 3/0033 characterised by user input arrangements
• CPC Class Codes: A61B 3/0041 characterised by display arrangements
• CPC Class Codes: A61B 3/0058 for multiple images
• CPC Class Codes: A61B 3/0091 Fixation targets for viewing direction
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 3/14 Arrangements specially adapted for eye photography apparatus or arrangements for taking photographs per se G03B
• CPC Class Codes: A61B 5/0013 Medical image data A61B1/00011, A61B6/56, A61B8/56 take precedence
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/1124 Determining motor skills
• 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
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles

Abstract

Systems and methods are disclosed for evaluating human eye tracking. One method includes receiving data representing the location of and/or information tracked by an individual'"'"'s eye or eyes before, during, or after the individual performs a task; identifying a temporal phase or a biomechanical phase of the task performed by the individual; identifying a visual cue in the identified temporal phase or biomechanical phase; and scoring the tracking of the individual'"'"'s eye or eyes by comparing the data to the visual cue.

Claims

1. A method for evaluating human eye tracking, the method including:

receiving data representing the location of and/or information tracked by an individual'"'"'s eye or eyes before, during, or after the individual performs a task;

identifying a temporal phase or a biomechanical phase of the task performed by the individual;

identifying a visual cue in the identified temporal phase or biomechanical phase; and

scoring the tracking of the individual'"'"'s eye or eyes by comparing the data to the visual cue.

2. The method of claim 1, wherein the data is one or more of:

image data of the individual'"'"'s eye or eyes, coordinate data of the location of the individual'"'"'s eye or eyes, and coordinate data of a location on which the individual'"'"'s eye or eyes were focused.

3. The method of claim 1, wherein the data is received, either locally or over a network, from a wearable eye tracker configured to obtain the data by imaging the individual'"'"'s eye or eyes.

4. The method of claim 1, further comprising:

determining a target range associated with the visual cue, the target range defining an ideal viewing area around the visual cue; and

scoring the tracking of the individual'"'"'s eye or eyes by comparing the tracking to the determined target range.

5. The method of claim 1, further comprising:

identifying movement of the identified visual cue, the identified movement including a set of coordinates of the visual cue at each of a plurality of points in time; and

determining a target range associated with each of the sets of coordinates of the visual cue.

6. The method of claim 1, further comprising:

recommending one or more training drills to the individual based on a score generated from scoring the tracking of the individual'"'"'s eye or eyes.

7. The method of claim 1, wherein scoring the tracking of the individual'"'"'s eye or eyes includes one or more of:

generating a target score, generating a cognitive load score, and calculating a stress indicator score.

8. The method of claim 7, wherein the target score is generated based on a bull'"'"'s-eye arrangement centered around the visual cue.

9. The method of claim 7, wherein the cognitive load score is generated based on a number of eye shift movements detected within an interval of time.

10. The method of claim 7, wherein the stress indicator score is calculated as the sum of the target score and the cognitive load score.

11. The method of claim 1, further comprising calculating a predicting potential score that is predictive of the individual'"'"'s potential performance in the task, as a function of one or more performance parameters identified as predictive of future performance in the task.

12. The method of claim 11, further comprising:

calculating a score for each of the one or more performance parameters predictive of potential performance in the task;

determining a weight for each of the one or more performance parameters; and

calculating a total predicting potential score based on the determined weights and the calculated scores.

13. A system for evaluating human eye tracking, the system including:

a data storage device storing instructions for evaluating human eye tracking;

a processor configured to execute the instructions to perform a method including;

receiving data representing the location of and/or information tracked by an individual'"'"'s eye or eyes before, during, or after the individual performs a task;

identifying a temporal phase or a biomechanical phase of the task performed by the individual;

identifying a visual cue in the identified temporal phase or biomechanical phase; and

scoring the tracking of the individual'"'"'s eye by comparing the data to the visual cue.

14. The system of claim 13, wherein the data is one or more of:

image data of the individual'"'"'s eye or eyes, coordinate data of the location of the individual'"'"'s eye or eyes, and coordinate data of a location on which the individual'"'"'s eye or eyes were focused.

15. The system of claim 13, wherein the data is received, either locally or over a network, from a wearable eye tracker configured to obtain the data by imaging the individual'"'"'s eye or eyes.

16. The system of claim 13, wherein the processor is further configured for:

determining a target range associated with the visual cue, the target range defining an ideal viewing area around the visual cue; and

scoring the tracking of the individual'"'"'s eye or eyes by comparing the tracking to the determined target range.

17. The system of claim 13, wherein the processor is further configured for:

identifying movement of the identified visual cue, the identified movement including a set of coordinates of the visual cue at each of a plurality of points in time; and

determining a target range associated with each of the sets of coordinates of the visual cue.

18. The system of claim 13, wherein the processor is further configured for:

recommending one or more training drills to the individual based on a score generated from scoring the movement of the individual'"'"'s eye or eyes.

19. The system of claim 13, wherein scoring the tracking of the individual'"'"'s eye or eyes includes one or more of:

generating a target score, generating a cognitive load score, and calculating a stress indicator score.

20. The system of claim 19, wherein the target score is generated based on a bull'"'"'s-eye arrangement centered around the visual cue.

21. The system of claim 19, wherein the cognitive load score is generated based on a number of eye shift movements detected within an interval of time.

22. The system of claim 13, wherein the processor is further configured for:

calculating a predicting potential score that is predictive of the individual'"'"'s potential performance in the task, as a function of one or more performance parameters identified as predictive of future performance in the task.

23. The system of claim 22, wherein the processor is further configured for:

calculating a score for each of the one or more performance parameters predictive of potential performance in the task;

determining a weight for each of the one or more performance parameters; and

calculating a total predicting potential score based on the determined weights and the calculated scores.

24. A computer readable medium storing instructions that, when executed by a computer, cause the computer to perform a method of evaluating human eye tracking, the method including:

receiving data representing the location of and/or information tracked by an individual'"'"'s eye or eyes before, during, or after the individual performs a task;

identifying a temporal phase or a biomechanical phase of the task performed by the individual;

identifying a visual cue in the identified temporal phase or biomechanical phase; and

scoring the tracking of the individual'"'"'s eye or eyes by comparing the data to the visual cue.