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 19):
The method of  claim 6  wherein the display device includes a plurality of pixels, and wherein the generating of the optical distortion mapping information for the optical lens and for each of the plurality of pupil locations includes:\n positioning an image sensor at the pupil location; \n successively activating the different groups of one or more pixels on the display device and determining resulting light-sensitive positions of the image sensor that receive light from the activated groups of pixels through the optical lens, wherein the one or more pixels in a first group comprises pixels that emit only a first color, and the one or more pixels in a second group comprises pixels that emit only a second color different from the first color; and \n storing optical distortion mapping data for the optical lens and the pupil location that maps light-sensitive positions at the pupil location to corresponding pixels on the display device.

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): 0.6100176764334992
- 35 USC 102 Novelty (BERT): 0.5080853144744434
- Combined Prediction Score: 0.5998244402375937
- Mean Citation Score: 180.141314
- Max Citation Score: 260.10406
- Similarity Product: 196.30498487538816

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