PATENT CLAIM ANALYSIS

Application Number: 15766023
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["345", "800000"]

Abstract:
Near-to-eye displays allow a user to be presented with images that are either augmented to address defects or aberrations within their vision or provide additional information. However, an acquired image typically contains content at different depths and absent depth information image processing applied to the acquired image may discount or apply an image modification that reduces visibility of an object. Accordingly, it would be beneficial for such near-to-eye displays to exploit depth information within the image processing and/or generate depth maps allowing images presented to the user to account for depth. It would be further beneficial for such enhancements to be compatible with the evolving low weight, low volume, low complexity, and low cost near-to-eye display systems. It would be further beneficial to provide a user with other non-visual stimuli based upon depth information within the image.

Claim (Index 6):
The method according to  claim 1 , wherein\n processing the acquired image data to generate the augmented image data comprises shifting the acquired image data upon the head mounted display system in dependence upon both a mathematical function defining the shift versus the depth parameter wherein the depth parameter is modified in dependence upon a direction of the user's gaze.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 91.0
- Lexical Diversity: 1.8375
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15404700', '15135805', '15799075', '15361185', '13916806']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6611225636280537
- 35 USC 102 Novelty (BERT): 0.490358584221254
- Combined Prediction Score: 0.6440461656873737
- Mean Citation Score: 183.926126
- Max Citation Score: 202.90755
- Similarity Product: 141.48268500673768

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

Dataset: test