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 4):
The body information analysis apparatus ( 1 ) as claimed in  claim 1 , wherein the face analysis module ( 500 ) positions a plurality of second contour features ( 720 - 726 ), a plurality of third contour features ( 720 - 726 ), a plurality of fourth contour features ( 720 - 726 ), and a plurality of fifth contour features ( 720 - 726 ) all at one cheek of the face contour; wherein the plurality of the second contour features ( 720 - 726 ) are partially overlapped the plurality of third contour features ( 720 - 726 ), the plurality of the third contour features ( 720 - 726 ) are partially overlapped the plurality of fourth contour features ( 720 - 726 ), and the plurality of the fourth contour features ( 720 - 726 ) are partially overlapped the plurality of fifth contour features ( 720 - 726 ); wherein the processing unit ( 10 ) further comprise a second calculation module ( 502 ) for calculating a first cheek angle (\u03b8 1 , \u03b8 2 ) of a first cheek tangent (L 1 , L 2 , L 3 ) formed by the second contour features ( 720 - 726 ) with respect to a second cheek tangent (L 1 , L 2 , L 3 ) formed by the third contour features ( 720 - 726 ), and a second cheek angle (\u03b8 1 , \u03b8 2 ) of a third cheek tangent (L 1 , L 2 , L 3 ) formed by the fourth contour features ( 720 - 726 ) with respect to a fourth cheek tangent (L 1 , L 2 , L 3 ) formed by the fifth contour features ( 720 - 726 ); wherein the face detection module ( 511 ) includes a square face shape detection module ( 506 ) for identifying the face shape as a square face shape when the first ratio is in the range of the predetermined ratio for symmetry and the first cheek angle (\u03b8 1 , \u03b8 2 ) or the second cheek angle (\u03b8 1 , \u03b8 2 ) is greater than a predetermined angle for square face shape, and a circular face shape detection module ( 507 ) for identifying the face shape as a circular face shape when the first ratio is in the range of the predetermined ratio for symmetry and both the first cheek angle (\u03b8 1 , \u03b8 2 ) and the second cheek angle (\u03b8 1 , \u03b8 2 ) are not greater than the predetermined angle for square face shape; wherein the information creation module ( 504 ) is configured to create information of the square face shape based on the determined square face shape; wherein the information creation module ( 504 ) is configured to create information of the circular face shape based on the determined circular face shape; and wherein the display module ( 111 ) is configured to show information of the square face shape or the circular face shape.

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): 0.300972959521785
- 35 USC 102 Novelty (BERT): 0.5052035530025984
- Combined Prediction Score: 0.3213960188698663
- Mean Citation Score: 175.59571999999997
- Max Citation Score: 190.13275
- Similarity Product: 117.4796063682437

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