PATENT CLAIM ANALYSIS

Application Number: 15861551
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-03
Patent Classification: ["382", "118000"]

Abstract:
A body information analysis apparatus ( 1 ) and a method of detecting face shape by using same are provided. The apparatus ( 1 ) includes an image fetching module ( 12 ); a display module ( 111 ); a processing unit ( 10 ) including a face analysis module ( 500 ) for positioning two eyebrows, a mouth and first features ( 711, 712 ) of a face contour in response to an identified face wherein the first features ( 711, 712 ) are at two sides of the face respectively; a first calculation module ( 501 ) for calculating a vertical distance between the mouth and either eyebrow and taking same as a first distance (D 1 ), calculating a horizontal distance between the first features ( 711, 712 ) and taking same as a second distance (D 2 ), and calculating a first ratio of the first distance (D 1 ) to the second distance (D 2 ); a face detection module ( 511 ) for determining the face shape; and an information creation module ( 504 ).

Claim (Index 9):
The method as claimed in  claim 8 , wherein step (b) is performed by identifying an eyebrow tail feature ( 700 ,  702 ) at one of the eyebrows; a mouth corner feature ( 701 ) at one end of the mouth and the a mouth corner feature ( 703 ) at the mouth; and a lower lip feature ( 710 ) at a lower lip; the first contour features ( 711 ,  712 ) having an elevation the same as the lower lip feature ( 710 ); and wherein step (c) is performed by calculating a vertical distance between the eyebrow tail feature ( 700 ,  702 ) and the mouth corner feature ( 701 ,  703 ) and taking the vertical distance as the first distance (D 1 ).

Metadata:
- Claim Count in Document: 14.0
- Percentile: 86.0
- Lexical Diversity: 2.60526
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15861576', '15828371', '10927241', '11744668', '12095507']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3034630007478284
- 35 USC 102 Novelty (BERT): 0.4936266431916858
- Combined Prediction Score: 0.3224793649922141
- Mean Citation Score: 175.59571999999997
- Max Citation Score: 190.13275
- Similarity Product: 133.06657398501036

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