PATENT CLAIM ANALYSIS

Application Number: 15741327
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["345", "633000"]

Abstract:
A method and system for image display with a head-mounted device, which use a see-through tunable diffractive mirror, such as a see-through tunable holographic mirror or see-through tunable LCD array mirror, which mirror is useful in providing augmented reality.

Claim (Index 23):
A head-mounted device according to  claim 16 , wherein the mirror may be tuned for:\n adjusting distance of visualization of the computer-generated image by the wearer, or adjusting gaze direction of visualization of the computer-generated image by the wearer, or adjusting apparent size of visualization of the computer-generated image by the wearer, or adjusting focal point for visualization of the computer-generated image to the position of the eye of the wearer, or correcting secondary optical aberrations in the visualization of the computer-generated image by the wearer which are selected from aspherization and field aberrations, or where the wearer is ametropic, correcting at least partially the wearer's ametropia for the visualization of the computer-generated image by the wearer, or partially or fully switching OFF or ON the visualization of the computer-generated image by the wearer.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 1.3871
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15740971', '15563723', '15301322', '15126558', '14916905']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6609822735389511
- 35 USC 102 Novelty (BERT): 0.5763282842458248
- Combined Prediction Score: 0.6525168746096385
- Mean Citation Score: 324.81446200000005
- Max Citation Score: 477.4519
- Similarity Product: 374.98732301243547

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