PATENT CLAIM ANALYSIS

Application Number: 16512065
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["345", "008000"]

Abstract:
The disclosure relates generally to techniques for using information about a user's actual or predicted pupil location for correcting optical distortions that are specific to an optical lens and display assembly through which the user is viewing one or more images. The described techniques may include identifying and mapping optical distortions specific to an optical lens and display assembly, and using such mapped optical distortions to correct images displayed to a wearer or other user receiving images via the assembly, such as based at least in part on pupil location of the wearer or other user. As one example, the one or more optical lens may be mounted inside a head-mounted display (HMD) that also includes a display panel or other image source for an eye of a wearer, and if so one or more pupil tracking mechanisms may be integrated into the HMD.

Claim (Index 8):
The method of  claim 7  wherein the using of the generated optical distortion mapping information to display one of the one or more images includes performing the selecting of the one or more pupil locations for the one image by identifying one pupil location of the plurality that is closest to the determined pupil location for the one image, approximating optical distortion mapping information for the determined pupil location for the one image by using a distance between the determined pupil location and the identified one location to modify the optical distortion mapping information for the identified one pupil location, and using the approximated optical distortion mapping information for the adjusting of the one image.

Metadata:
- Claim Count in Document: 83.0
- Percentile: 100.0
- Lexical Diversity: 1.90123
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15335194', '15799075', '13572650', '15683677', '15135805']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6109781509907013
- 35 USC 102 Novelty (BERT): 0.5033099342827271
- Combined Prediction Score: 0.600211329319904
- Mean Citation Score: 180.141314
- Max Citation Score: 260.10406
- Similarity Product: 210.60636908096907

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