PATENT CLAIM ANALYSIS

Application Number: 15880023
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["345", "633000"]

Abstract:
A display which allows a user to visually recognize a virtual image and external scenery includes an image display unit that forms the virtual image which is visually recognized by the user. The display also includes a superimposition processing unit that generates a plurality of pieces of superimposition information, based on a plurality of images of the external scenery, for superimposing invisible information which is not shown in an outward appearance of an object on the object included in the external scenery. The superimposition processing unit extracts a feature of the object. The invisible information includes a feature in common with the extracted feature of the object. The superimposition processing unit generates the plurality of pieces of superimposition information such that the extracted feature of the object and the feature of the invisible information overlap.

Claim (Index 19):
The display according to  claim 1 ,\n wherein the superimposition processing unit withdraws the superimposition information which is displayed as the virtual image to a position which does not hinder the visual field of the user, in response to a request from the user.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 86.0
- Lexical Diversity: 2.62963
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14764553', '14870659', '14884302', '14901626', '14095827']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6719863013961239
- 35 USC 102 Novelty (BERT): 0.5720224382285335
- Combined Prediction Score: 0.6619899150793649
- Mean Citation Score: 281.55548800000014
- Max Citation Score: 462.6926
- Similarity Product: 401.71208897942313

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