PATENT CLAIM ANALYSIS

Application Number: 16252423
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["713", "186000"]

Abstract:
An adaptive biometric authentication system may include a user identity reference module that is configured to maintain user identification items stored in a secure memory. The system may include a passive data aggregator that is configured to receive and aggregate data items that are passively collected by a device that is in proximity to a user. The system may include a user identity confidence level generator that is configured to generate a user identity confidence level that indicates a confidence that the user in proximity to the device is the reference user based at least in part on a comparison between the passively collected data items and the user identification items, and to update the user identity confidence level as additional passively collected data items are received. The system may include an authentication module that facilitates user authentication based at least in part on the user identity confidence level.

Claim (Index 16):
The device of  claim 11 , wherein the processing circuitry is further configured to gather the bio-data by collecting a biometric capture of the user including at least one of a capture of a skin, a tissue, an implant interaction, an electrocardiogram, a moisture or a blood pressure.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 99.0
- Lexical Diversity: 2.70175
- Patent Class: 713.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14696341', '14543771', '15496451', '14489206', '14970361']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3475628858855711
- 35 USC 102 Novelty (BERT): 0.5336999327423682
- Combined Prediction Score: 0.3661765905712508
- Mean Citation Score: 182.917452
- Max Citation Score: 328.23245
- Similarity Product: 222.48782997249364

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