PATENT CLAIM ANALYSIS

Application Number: 16308519
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["381", "300000"]

Abstract:
A method comprising: causing classification of sound objects, within a rendered virtual space, as a first class of sound object or a second class of sound object in dependence upon historic action of a user within the virtual space; rendering one or more sound objects of the first class according to at least first rules; and rendering one or more sound objects of the second class according to at least second rules, different to the first rules, and a current position of the user within the virtual space.

Claim (Index 25):
An apparatus according to  claim 16 , further cause the apparatus to perform at least the following:\n cause classification of a sound object, within a rendered virtual space, as a first class of sound object in dependence upon historic interaction between the sound object and the user; and cause classification of a sound object, within a rendered virtual space, as a sub-class of the second class of sound object in dependence upon:\n current interaction between the sound object and the user; or \n no potential interaction between the sound object and the user; or \n potential interaction between the sound object and the user; \n rendering sound objects of the second class according to rules dependent upon the sub-class.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 98.0
- Lexical Diversity: 2.28571
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15680502', '15798891', '16194683', '16091505', '15778451']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7194504509027422
- 35 USC 102 Novelty (BERT): 0.5044006402244449
- Combined Prediction Score: 0.6979454698349125
- Mean Citation Score: 223.517086
- Max Citation Score: 269.40027000000003
- Similarity Product: 201.9091694125432

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

Dataset: test