PATENT CLAIM ANALYSIS

Application Number: 16275726
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["381", "058000"]

Abstract:
This application describes an apparatus ( 300 ) for monitoring for blockage of an acoustic ( 110 ) port of a microphone device ( 100 ). The apparatus has a spectrum peak detect block ( 301 ) for receiving a microphone signal (S MIC ) and determining, from the microphone signal, a resonance frequency (f H ) and a quality factor (Q H ) of a resonance ( 202 ) associated with the acoustic port. A condition monitoring block ( 302 ) is configured to determine any change in resonance frequency and quality factor and to determine a blockage status for the microphone based on said detect changes. The condition monitoring block identifies a change in blockage status if there is a change in quality factor.

Claim (Index 26):
A packaged microphone device as claimed in  claim 21  comprising a memory for storing a first reference value of quality factor known to correspond to an unblocked state of the acoustic port, wherein the condition monitoring block is configured, in use, to compare the determined quality factor to the stored first reference value and to determine that the acoustic port has become at least partly blocked if the determined quality factor is different to the first reference value of quality factor.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 99.0
- Lexical Diversity: 2.10938
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15935542', '15935489', '15935428', '15237522', '15245856']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7138137543087113
- 35 USC 102 Novelty (BERT): 0.5269711043512774
- Combined Prediction Score: 0.6951294893129679
- Mean Citation Score: 279.037934
- Max Citation Score: 351.1124
- Similarity Product: 294.19236518201825

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