PATENT CLAIM ANALYSIS

Application Number: 15970645
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["348", "757000"]

Abstract:
Systems, devices, and methods for eyebox expansion in wearable heads-up displays (WHUD) are described. A WHUD includes a support structure, a scanning laser projector (SLP), a split mirror, an optical splitter, and a holographic combiner. When the WHUD is worn on the head of a user the holographic combiner is positioned in a field of view of the user. The SLP scans light signals onto the split mirror which reflects the light signals onto the optical splitter. The optical splitter redirects the light signals towards the holographic combiner such that subsets of the light signals originate from spatially-separated virtual positions. The holographic combiner redirects the light to the eye resulting in spatially-separated exit pupils. The spatial separation of the exit pupils results in an expanded eyebox. The indirect path of light from SLP to optical splitter enables a smaller and therefore more aesthetically desirable design for the WHUD.

Claim (Index 2):
The method of  claim 1  wherein directing the light signals towards an eye of the user by the holographic combiner further includes directing the light signals to at least two exit pupils at or proximate the eye of the user.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 93.0
- Lexical Diversity: 2.075
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15046254', '15046269', '15145576', '15046234', '15147638']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6694112613605276
- 35 USC 102 Novelty (BERT): 0.5436266676836002
- Combined Prediction Score: 0.6568328019928349
- Mean Citation Score: 354.735434
- Max Citation Score: 383.64206
- Similarity Product: 304.86046109479906

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

Dataset: test