PATENT CLAIM ANALYSIS

Application Number: 16398326
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["359", "462000"]

Abstract:
A virtual reality stereoscopic image expansion device with high definition where 1 to 2 monitors are provided in an independent rotary case, first or first and second left and right reflectors having reflective refraction angles of 90° in left and right directions of stereoscopic left and right eye images are provided and configured as left and right lenses for matching optical axes so that the image center of the large monitor having a screen size of a human pupil interval or more is matched with the interval between the left and right eyes of the observer by coupling the optical axes of the monitors and the reflectors with an optical structure. Thereby it makes it possible to observe the stereoscopic image by a general monitor without structures of the polarizer and the translucent mirror.

Claim (Index 3):
The virtual reality image system with high definition of  claim 1 , wherein in the configuration of the left and right ocular lenses, an inner surface of a lens surface which is a human pupil position direction is formed in a concave shape, an outer surface of the lens surface is formed in a convex shape, and a sum of focal lengths of the inner and outer surfaces of the lens has a positive force.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 100.0
- Lexical Diversity: 1.73418
- Patent Class: 359.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10501242', '12298170', '13512386', '13144270', '10420379']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8315112343996447
- 35 USC 102 Novelty (BERT): 0.489309150168076
- Combined Prediction Score: 0.7972910259764878
- Mean Citation Score: 212.42673
- Max Citation Score: 227.14569
- Similarity Product: 148.96674331833245

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