PATENT CLAIM ANALYSIS

Application Number: 16174178
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["381", "056000"]

Abstract:
An abnormality detecting device includes a memory, and a processor coupled to the memory and configured to: detect an envelope of an audio signal indicating a periodic sound emitted by a target object and a periodic sound emitted by another object; execute time-to-frequency conversion on the envelope to calculate a frequency spectrum of the audio signal; and determine whether or not the target object has an abnormality, based on a frequency component included in the frequency spectrum and corresponding to a time interval between time points when the sound is emitted by the target object.

Claim (Index 4):
The abnormality detecting device according to  claim 3 ,\n wherein the processor is further configured to determine that the target object has an abnormality when any of the power of a component of the frequency spectrum at the frequency corresponding to the time interval between the time points when the sound is emitted by the target object and the power of a component of the frequency spectrum at the integral multiple of the frequency corresponding to the time interval between the time points when the sound is emitted by the target object is equal to or higher than a predetermined threshold.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 97.0
- Lexical Diversity: 1.87037
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10586996', '12593195', '14418680', '16139283', '10052309']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6385938709736689
- 35 USC 102 Novelty (BERT): 0.4647216234534723
- Combined Prediction Score: 0.6212066462216493
- Mean Citation Score: 122.512871
- Max Citation Score: 126.88823
- Similarity Product: 97.79599307229756

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