PATENT CLAIM ANALYSIS

Application Number: 16033351
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["345", "633000"]

Abstract:
Systems and methods for handling color vision deficiencies in virtual, augmented, and mixed reality (xR) applications are described. In some embodiments, a hardware memory device may have program instructions stored thereon that, upon execution by a hardware processor of an Information Handling System (IHS), cause the IHS to: apply a first set of RGB adjustments to a foreground portion of an image to be displayed by Head-Mounted Device (HMD) worn by a user; apply a second set of RGB adjustments to a background portion of the image, where the first and second set of RGB adjustments produce a visual indication of the presence of a color, in the image, that the user is incapable of naturally identifying; and display the visual indication.

Claim (Index 16):
A method, comprising:\n receiving an image from a Head-Mounted Device (HMD) worn by a user; identifying, in the image, a first real-world object having a first color and a second real-world object having a second color; determining, based upon a calibration process, that the user does not naturally distinguish between the first and second colors; and in response to the determination, applying a first set of RGB adjustments to a foreground portion of the image and applying a second set of RGB adjustments to a background portion of the image; producing a digital overlay, for display by the HMD, that covers the first color of the first real-world object or the second color of the second real-world object, as visible through the HMD.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.83117
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16009057', '16008982', '16009029', '16009087', '16008831']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6638322577735913
- 35 USC 102 Novelty (BERT): 0.5081384358163986
- Combined Prediction Score: 0.6482628755778721
- Mean Citation Score: 256.728522
- Max Citation Score: 272.68356
- Similarity Product: 181.7139393494368

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