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 5):
The method as recited in  claim 4 , wherein data points that correspond to stimulus presentations during which the subject was not fixated with sufficient accuracy on the specified location are excluded in the determination of the sensitivity of the subject's visual field.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.03704
- Patent Class: 351.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13781051', '14919491', '13964624', '14216350', '15670553']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6558821543459646
- 35 USC 102 Novelty (BERT): 0.5503714039855201
- Combined Prediction Score: 0.6453310793099202
- Mean Citation Score: 367.3005920000001
- Max Citation Score: 510.48932
- Similarity Product: 309.6983235804033

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