PATENT CLAIM ANALYSIS

Application Number: 15880925
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-08
Patent Classification: ["351", "224000"]

Abstract:
An improved visual field perimeter testing tool is provided that employs a head mounted display apparatus configured to removably support a hand-held electronic device comprising at least one processor, memory system and integral display screen. The memory system stores a software program executed by the at least one processor, wherein execution of the software program carries out visual field perimeter testing of a subject wearing the head-mounted display apparatus whereby discrete stimuli are presented to the subject on the display screen of the hand-held electronic device. In order to address nonlinearity of the display characteristics of the hand-held electronic device, a calibration routine can be performed to generate calibration data that is stored as part of the software program and used to generate the RGB pixel values for the discrete stimuli and background that surrounds the discrete stimuli in a manner that provides accurate contrast sensitivity measurements during the testing.

Claim (Index 14):
A visual field perimeter testing tool according to  claim 1 , wherein:\n the execution of the software program is configured in a threshold mode where the discrete stimuli have a number of contrast sensitivity values dictated by a staircase adjustment scheme.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 86.0
- Lexical Diversity: 1.81395
- Patent Class: 351.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11881140', '15512570', '11881142', '15031842', '13388529']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5469551740228595
- 35 USC 102 Novelty (BERT): 0.4892162681473648
- Combined Prediction Score: 0.54118128343531
- Mean Citation Score: 161.88742200000004
- Max Citation Score: 175.72542
- Similarity Product: 110.82111807625294

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

Dataset: test