PATENT CLAIM ANALYSIS

Application Number: 16003859
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["345", "505000"]

Abstract:
A method of optimizing a processing time of a simulation engine that executes to create a simulated experience for a user, includes the steps of identifying a number of components that comprise the simulated experience to be rendered for the user in a virtual reality environment; assigns execution of the plurality of components to at least two threads, where the at least two threads execute in parallel on a CPU to create the simulated experience, where the first thread processes a first portion of the components for components that require rapid execution to create a realistic experience within the simulated experience, and reduces a processing load of the first thread by assigning a second portion of the components to execute in a second thread, where the second portion requires less rapid execution than the first portion to create the realistic experience.

Claim (Index 18):
The system of  claim 17 , wherein the computer readable program code is further configured to:\n synchronize the read and write access to the at least two copies of the component by the at least two threads wherein the at least two threads access different copies of the at least two copies of the component at any one time.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 2.3871
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14729001', '15721063', '15688685', '15201163', '15482685']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6530754104271131
- 35 USC 102 Novelty (BERT): 0.4919663675344303
- Combined Prediction Score: 0.6369645061378448
- Mean Citation Score: 161.97272800000005
- Max Citation Score: 169.98802
- Similarity Product: 108.89432997284533

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