PATENT CLAIM ANALYSIS

Application Number: 15870634
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["382", "128000"]

Abstract:
A computer implemented method of generating a personalized health rating for a person uses one or more processors. The one or more processors execute instructions to perform the method including obtaining, by the one or more processors, measured data associated with the person, obtaining, by the one or more processors, a facial image of the person, extracting, by the one or more processors, emotional based features from the facial image, using a deep learning model trained on emotion labeled facial images to associate an emotional state with the extracted features to generate emotional data, and fusing, by the one or more processors, the measured data with the emotional data to generate the personalized health rating.

Claim (Index 17):
The non-transitory computer-readable media of  claim 16  and further comprising normalizing the facial image prior to extracting the emotional based features such that the image is compatible with the measured data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.34545
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12215879', '12154002', '15276967', '12317917', '15861855']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3320865099970241
- 35 USC 102 Novelty (BERT): 0.4903153584333686
- Combined Prediction Score: 0.3479093948406586
- Mean Citation Score: 191.922882
- Max Citation Score: 208.95958
- Similarity Product: 143.5693754139626

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