PATENT CLAIM ANALYSIS

Application Number: 15870990
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-02
Patent Classification: ["382", "118000"]

Abstract:
A lip-makeup analysis method adopted by a body information analysis apparatus includes following steps: obtaining an external image through an image capturing module of the body information analysis apparatus; performing positioning actions to each part of a face once the face is recognized from the external image; obtaining a position of the lips after completing the positioning actions; analyzing an average color value of lip-makeup of the lips; comparing the average color value of lip-makeup with a default color value; displaying a comparison result by a display module of the body information analysis apparatus; and, re-executing above steps before assisting actions are finished.

Claim (Index 10):
A body information analysis apparatus, comprising:\n an image capturing module, arranged to capture an external image; a display module; and a processor electrically connected with the image capturing module and the display module, the processor is arranged to recognize the external image, and to perform positioning actions on each facial feature of a face once the face is recognized from the external image for obtaining a position of lips upon the face; wherein, the processor is arranged to analyze an average color value of a lip-makeup of the lips, and to compare the average color value of the lip-makeup with a default color value for generating a comparison result; wherein, the display module is arranged to display the comparison result.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 1.89831
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15870992', '15870994', '15870988', '11665687', '15828371']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3606100785344936
- 35 USC 102 Novelty (BERT): 0.4880641620985908
- Combined Prediction Score: 0.3733554868909033
- Mean Citation Score: 220.16031000000004
- Max Citation Score: 259.3821
- Similarity Product: 224.48716122722627

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

Dataset: test