PATENT CLAIM ANALYSIS

Application Number: 15764810
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["381", "071400"]

Abstract:
Exemplary road and engine noise control systems and methods include directly picking up road noise from a structural element of a vehicle to generate a first sense signal representative of the road noise, directly picking up engine noise from an engine of the vehicle to generate a second sense signal representative of the engine noise, and combining the first sense signal and the second sense signal to provide a combination signal representing the combination of the first sense signal and the second sense signal. The systems and methods further include broadband active noise control filtering to generate a filtered combination signal from the combination signal, converting the filtered combination signal provided by the active noise control filtering into anti-noise and radiating the anti-noise to a listening position in an interior of the vehicle. The filtered combination signal is configured so that the anti-noise reduces the noise at the listening position.

Claim (Index 20):
The system of  claim 17 , wherein the first sensor is an acceleration sensor attached to the structural element of the vehicle, and wherein the second sensor is an acceleration sensor attached to an engine of the vehicle.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 90.0
- Lexical Diversity: 2.83636
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15294278', '15770266', '15762007', '11083364', '15104819']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7224797759070013
- 35 USC 102 Novelty (BERT): 0.5361392222095204
- Combined Prediction Score: 0.7038457205372532
- Mean Citation Score: 251.366212
- Max Citation Score: 372.7828
- Similarity Product: 242.88923114738463

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