PATENT CLAIM ANALYSIS

Application Number: 15876644
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["381", "001000"]

Abstract:
The derivation of personalized HRTFs for a human subject based on the anthropometric feature parameters of the human subject involves obtaining multiple anthropometric feature parameters and multiple HRTFs of multiple training subjects. Subsequently, multiple anthropometric feature parameters of a human subject are acquired. A representation of the statistical relationship between the plurality of anthropometric feature parameters of the human subject and a subset of the multiple anthropometric feature parameters belonging to the plurality of training subjects is determined. The representation of the statistical relationship is then applied to the multiple HRTFs of the plurality of training subjects to obtain a set of personalized HRTFs for the human subject.

Claim (Index 20):
The system of  claim 16 , wherein the obtaining includes:\n obtaining the multiple anthropometric feature parameters of a training subject via at least one of user input or an input from an automated measurement tool; storing the multiple anthropometric feature parameters of the training subject; obtaining a set of HRTFs for the training subject via measurement of sounds transmitted to ears of the training subject from a plurality of positions in a spherical arrangement that excludes a spherical wedge; interpolating a complementary set of HRTFs for the training subject with respect to virtual positions in the spherical wedge based on the set of the HRTFs; and storing the set of HRTFs and the additional set of HRTFs of the training subject.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 86.0
- Lexical Diversity: 2.7561
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14265154', '15473959', '14120522', '15463853', '13640729']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7128725634773766
- 35 USC 102 Novelty (BERT): 0.6363688726465473
- Combined Prediction Score: 0.7052221943942937
- Mean Citation Score: 385.92791000000005
- Max Citation Score: 587.4576
- Similarity Product: 566.3342944865227

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