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 16):
An apparatus comprising:\n at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following: cause 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; render one or more sound objects of the first class according to at least first rules; and render 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.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 98.0
- Lexical Diversity: 2.28571
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15680502', '15798891', '16194683', '16091505', '15778451']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6961878206902824
- 35 USC 102 Novelty (BERT): 0.4942050739444403
- Combined Prediction Score: 0.6759895460156982
- Mean Citation Score: 223.517086
- Max Citation Score: 269.40027000000003
- Similarity Product: 228.625746562627

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

Dataset: test