PATENT CLAIM ANALYSIS

Application Number: 16238578
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["348", "053000"]

Abstract:
Binocular augmented reality display devices and corresponding methods allow alignment calibration to be performed by an end user. According to one approach, a camera is positioned to have a field of view which includes simultaneously part of a projected image from the left-eye display and part of a projected image from the right-eye display. By projecting via each display at least part of a calibration image and identifying within the camera-sampled image right-field and left-field alignment features, an alignment correction can be derived. Alternative approaches employ correlation of images sampled by forward-looking cameras rigidly associated with the respective right-eye and left-eye display units, or require a user to input a manual adjustment for aligning transversely-swapped camera images with the real world view.

Claim (Index 4):
The method of  claim 1 , wherein the camera is positioned on an opposite side from the viewing side of the augmented reality display device so that the camera captures an outwardly reflected portion of image illumination from each of the right-eye display and the left-eye display, and such that the image includes the left-field alignment feature viewed via the right-eye display and the right-field alignment feature viewed via the left-eye display.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 99.0
- Lexical Diversity: 1.63291
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13722917', '13689542', '15423198', '14740523', '15713418']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6299520757751983
- 35 USC 102 Novelty (BERT): 0.4792229003380637
- Combined Prediction Score: 0.6148791582314848
- Mean Citation Score: 242.977718
- Max Citation Score: 251.73451
- Similarity Product: 200.71711785628617

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

Dataset: test