PATENT CLAIM ANALYSIS

Application Number: 15972020
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["345", "633000"]

Abstract:
A method of implementing a plurality of contextual applications within a mixed reality (MR) environment on an MR-capable device of a user is disclosed. At least one real-world object is identified in the MR environment by applying an object recognition algorithm to one or more attributes of the at least one real-world object that are captured by sensors of the MR-capable device. A first contextual application of the plurality of contextual applications is used to determine an association between a first set of contextual triggers and a second contextual application of the plurality of contextual applications. A second contextual application is initiated based on a satisfying of the at least one contextual trigger. A function is invoked within the second contextual application based on an interaction of the user with at least one virtual object satisfying a second set of contextual triggers associated with the second contextual application.

Claim (Index 16):
The non-transitory machine-readable medium of  claim 15 , wherein the applying of the object recognition algorithm includes using artificial intelligence to perform the identifying of the at least one real-world object in the MR environment.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.42188
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15625422', '13212172', '15296869', '13689378', '15644300']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6375233483934301
- 35 USC 102 Novelty (BERT): 0.4684571349993786
- Combined Prediction Score: 0.6206167270540249
- Mean Citation Score: 138.909758
- Max Citation Score: 146.36798000000005
- Similarity Product: 108.18252522627834

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