Systems and methods for evaluating human eye tracking

Inventors

GROSS, Adam ToddHUNFALVAY, Melissa

Assignees

RightEye LLC

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Publication Number

US-8864310-B2

Patent

Publication Date

2014-10-21

Expiration Date


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.

Core Innovation

A method for evaluating human eye movement receives data representing a location where an individual's eye or eyes are looking before, during, or after the individual performs a task involving movement of the individual relative to a physical environment. The method identifies a visual cue of where the individual should be looking during the task at a point located relative to an object in the physical environment, and the visual cue is associated with a segment of movement of the individual and a biomechanical phase of another individual or an object in the physical environment.

The visual cue is identified based on historical or statistical analysis of other individuals' performance of the task while being unknown to the individual during the individual's performance of the task. The method generates a score of a location where the individual's eye or eyes are looking relative to the location of the visual cue during the segment of movement, based on analysis of the received data relative to the visual cue, and informs the individual of the location of the visual cue.

The method then receives data representing a location where the individual's eye or eyes are looking before, during, or after second or subsequent iterations of the task when the individual has knowledge of the location of the visual cue. Based on the locations where the individual's eye or eyes are looking relative to the location of the visual cue during segments of movement involved in the second or subsequent iterations, the method updates the score or generates a new score.

Claims Coverage

The independent claims include three independent claim types: a method, a system, and a non-transitory computer readable medium. Each independent claim includes four core inventive features, centered on cue-based eye-movement evaluation and score updating across task iterations.

Receiving gaze-location data relative to task performance

Receiving data representing a location where an individual's eye or eyes are looking before, during, or after the individual performs a task involving movement of the individual relative to a physical environment.

Identifying a visual cue based on historical or statistical performance

Identifying a visual cue of where the individual should be looking during the task at a point located relative to an object in the physical environment, the visual cue being associated with a segment of movement and a biomechanical phase and being identified based on historical or statistical analysis of other individuals' performance of the task while being unknown to the individual during performance.

Generating a gaze-relative score

Generating a score of a location where the individual's eye or eyes are looking relative to the location of the visual cue during the segment of movement, based on analysis of the received data relative to the visual cue.

Informing the individual and updating scoring in subsequent iterations

Informing the individual of the location of the visual cue, then receiving gaze-location data for second or subsequent iterations of the task when the individual has knowledge of the cue location, and updating the score or generating a new score based on those subsequent gaze locations.

Across the independent claims, the coverage centers on cue-based eye-movement evaluation using historical or statistical cue identification, gaze-relative scoring, informing the individual of the cue, and updating or generating new scores in subsequent task iterations.

Stated Advantages

Provides evaluation of human eye movement by scoring gaze relative to a visual cue.

Enables updating or generating new scores for second or subsequent task iterations after the individual is informed of the visual cue location.

Enables cognitive-load score generation based on detected eye shift movements.

Enables predictive potential performance scoring using weighted performance parameters.

Documented Applications

Evaluating eye tracking for a user performing a movement task relative to a physical environment using gaze-location data, cue identification, cue-relative scoring, and subsequent reassessment after the user knows the cue location.

Predicting potential performance in the task using predictive potential scoring.

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