PATENT CLAIM ANALYSIS

Application Number: 16001113
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["381", "071400"]

Abstract:
A system and method for active noise compensation in a vehicle is provided. The system has at least one apparatus for detecting a noise, a computer unit for calculating a compensation sound, at least one apparatus for generating a compensation sound which interferes with the noise, and a device for detecting at least one driver-specific parameter. The compensation sound is calculated depending on the at least one driver-specific parameter. Also provided is a motorcycle having a system for active noise compensation.

Claim (Index 14):
A method for active noise compensation on a motorcycle, including the acts of:\n capturing a noise near a driver of the motorcycle using a noise-capture unit; obtaining at least one driver-specific parameter of the using a driver parameter input unit; calculating using a computer unit, based on the noise captured by the noise capture unit and the at least one driver-specific parameter obtained by the driver parameter input unit, a compensation sound counter to the noise captured by the noise-capture unit; and producing the compensation sound which interferes with the noise calculated by the computer unit such that the compensation sound interferes with the noise near the driver of the vehicle.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 94.0
- Lexical Diversity: 2.2
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14083846', '12615344', '14032465', '15849841', '12097715']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6469769999834565
- 35 USC 102 Novelty (BERT): 0.4698539562209413
- Combined Prediction Score: 0.629264695607205
- Mean Citation Score: 122.0805832
- Max Citation Score: 128.26318
- Similarity Product: 95.56221635695697

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