PATENT CLAIM ANALYSIS

Application Number: 16270687
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["340", "005820"]

Abstract:
A method for measuring eye tracking in a patient and capturing ocular biometric identifying information from the patient may involve: displaying a video to the patient on a stimulus screen of an eye tracking and biometric identification system; tracking movement of the patient's eyes during display of the video via an eye tracking camera of the eye tracking and biometric identification system; capturing ocular biometric identifying information from the patient with an ocular biometric capture device of the eye tracking and biometric identification system; generating, with a computer processor of the eye tracking and biometric identification system, a score representing an ability of the patient's eyes to track the video; and confirming, with the computer processor, an identity of the patient, based on the captured ocular biometric identifying information.

Claim (Index 1):
A system for measuring eye tracking in a patient and capturing ocular biometric identifying information from the patient, the system comprising:\n a stimulus screen for displaying a video to the patient; an eye tracking camera; at least one head rest member for stabilizing the patient's head, relative to the stimulus screen; an ocular biometric capture device for capturing the ocular biometric identifying information from the patient; and a system computer housed in the main column for controlling the stimulus screen, data processing and other functions of the system.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.62963
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15786759', '13908748', '14797955', '14184465', '15439369']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5986394772117672
- 35 USC 102 Novelty (BERT): 0.4734978595787587
- Combined Prediction Score: 0.5861253154484664
- Mean Citation Score: 137.07281600000002
- Max Citation Score: 200.5591
- Similarity Product: 185.04073310118915

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test