PATENT CLAIM ANALYSIS

Application Number: 15571842
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-10
Patent Classification: ["348", "077000"]

Abstract:
A method for determining the fat mass of a subject includes the steps of acquiring an image of the subject through a digital device, and generating a virtual frame that contains at least in part that image. The virtual frame contains the subject, on the basis of its height or of the greater size in the case of animals, to provide an estimation of the content of the fat mass through an algorithm on the basis of at least an indicative index of the area occupied by the subject with respect to the area of the frame in which it is contained at least in part.

Claim (Index 1):
A method for determining fat mass of a subject comprising the steps of:\n acquiring at least one image containing a background and a subject ( 2 ) through a digital device ( 1 ); inputting at least a height value of the subject; generating a virtual frame (A, A\u2032, B\u2032, B) that contains at least a part of said subject ( 2 ) in the image, the virtual frame (A, A\u2032, B\u2032, B) being generated with two horizontal parallel lines (A-A\u2032, B-B\u2032) to which a value of a distance therebetween is attributed based on the inputted height (h) value of the subject, and with two vertical lines (A-B, A\u2032-B\u2032) to which a value of distance therebetween is attributed also based on the inputted height (h) value of the subject; and determining a content of fat mass through an algorithm that uses at least one index which is indicative of a first area (A_ 1 ) occupied by the subject ( 2 ) in the virtual frame with respect to a second area (B_ 1 ) of the virtual frame.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 1.98214
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15329990', '14136501', '14672827', '14777016', '15166823']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5723362000352662
- 35 USC 102 Novelty (BERT): 0.4840005648654786
- Combined Prediction Score: 0.5635026365182875
- Mean Citation Score: 116.0883492
- Max Citation Score: 118.1692
- Similarity Product: 71.51326612017155

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