PATENT CLAIM ANALYSIS

Application Number: 16132830
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["073", "655000"]

Abstract:
A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

Claim (Index 11):
The method of  claim 9 , wherein the texture attribute is selected from a group consisting of: viscosity, density, mouthfeel, astringency, mouth coating, sweetness, sensory, and rheology.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 97.0
- Lexical Diversity: 2.09333
- Patent Class: 73.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15459828', '15711592', '14864593', '15380943', '15380622']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7908021689929561
- 35 USC 102 Novelty (BERT): 0.558350598139644
- Combined Prediction Score: 0.7675570119076249
- Mean Citation Score: 421.32204200000007
- Max Citation Score: 457.99838
- Similarity Product: 322.2337602148771

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test