PATENT CLAIM ANALYSIS

Application Number: 15947966
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["340", "573100"]

Abstract:
The embodiments herein disclose methods and systems for non-invasive monitoring of a subject for coverage by a cover, a method includes capturing at least one image of an environment comprising of the subject for monitoring. Further, the method includes identifying at least one region of interest on receiving the at least one image of the environment wherein the at least one region of interest includes the subject, the cover and a reference frame. Further, the method includes performing image segmentation on the identified region of interest to estimate exposed fraction of a body of the subject. The image segmentation is performed using a reference guided region growing mechanism which receives the learned features of the subject, the cover and the reference frame as inputs. Further, the method includes generating at least one alert indication to at least one user based on the exposed fraction of the body of the subject.

Claim (Index 12):
The system ( 100 ) of  claim 8 , wherein the monitoring engine ( 104 ) further comprises a learning unit ( 210 ) to receive feedback from the at least one user for the at least one alert indication to update the at least one feature of the subject, the cover and the reference frame.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 91.0
- Lexical Diversity: 2.55556
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15210478', '14055139', '15039424', '15061323', '15856753']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6731565811878486
- 35 USC 102 Novelty (BERT): 0.5059435062704205
- Combined Prediction Score: 0.6564352736961059
- Mean Citation Score: 114.7333222
- Max Citation Score: 116.49294
- Similarity Product: 63.2727454802227

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