PATENT CLAIM ANALYSIS

Application Number: 16209814
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["381", "303000"]

Abstract:
A method for creating a model of reflective surfaces in a listening environment that may be applied to noise cancellation for a network of AVB/TSN loudspeaker components. A coordinator determines co-planarity and estimates orientation of all echoes of a stimulus by using recorded precise times of arrival, determined angles of arrival and the known, or estimated, locations of each loudspeaker component. The coordinator groups reflection points into planar regions based on co-planarity and estimated orientations to determine a location of each reflective surface in the listening environment thereby creating a model of all of the reflective surfaces in the listening environment.

Claim (Index 6):
The method as claimed in  claim 1  wherein the network of AVB/TSN loudspeaker components further comprises additional sensors capable of collecting data representative of temperature, humidity, and barometric pressure of the listening environment, and orientation of each loudspeaker component within the listening environment and wherein the steps of recording precise times of arrival and determining angles of arrival further comprises using data from the additional sensors.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 98.0
- Lexical Diversity: 1.69841
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15690322', '13801636', '10970123', '11355171', '12099144']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7130554448669428
- 35 USC 102 Novelty (BERT): 0.5447229171098118
- Combined Prediction Score: 0.6962221920912298
- Mean Citation Score: 210.41397200000003
- Max Citation Score: 388.0536
- Similarity Product: 324.3187042631149

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