PATENT CLAIM ANALYSIS

Application Number: 15867376
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["351", "212000"]

Abstract:
Methods for improving gaze tracking are presented. These methods eliminate the need for a separate initial calibration step to determine whether the subject is properly centrally fixated during testing. In one embodiment, whether the subject is centrally fixated is determined by identifying inlier and outlier gaze descriptors; the inliers are assumed to be associated with central fixation. This reduces the total time required for testing. These methods also improve the accuracy of gaze tracking during testing without the need for individual subject calibration. Instead, a database of reference eyes is used. The subject's eye can be compared to the reference eyes, and the mapping function for one or more reference matches can be used to estimate the subject's gaze direction. In another embodiment, previous calibration data from the same subject can be used to determine whether the subject is properly centrally fixated and/or the direction of the subject's gaze.

Claim (Index 4):
A method for analyzing visual field test data with a perimeter, wherein the subject has been instructed to fixate on a specified location throughout all or a portion of the test, comprising:\n using one or more light sources to create one or more reflections from an ocular surface; displaying a series of test stimuli to the subject; imaging the subject's eye with a camera while each test stimulus is displayed; collecting responses to the stimuli from the subject; determining gaze descriptors for the eye for each test stimulus by analyzing the reflections of the light sources in the image; determining the actual gaze location for each test stimulus from the gaze descriptor and a mapping function; analyzing the responses and the actual gaze locations to determine the sensitivity of the subject's visual field; displaying the results of the analysis

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.03704
- Patent Class: 351.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13781051', '14919491', '13964624', '14216350', '15670553']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6142905507078807
- 35 USC 102 Novelty (BERT): 0.5839550876371353
- Combined Prediction Score: 0.6112570044008062
- Mean Citation Score: 367.3005920000001
- Max Citation Score: 510.48932
- Similarity Product: 482.8287437043573

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test