PATENT CLAIM ANALYSIS

Application Number: 16390448
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-12
Patent Classification: ["713", "186000"]

Abstract:
Systems and methods for using micro accelerations as a biometric factor for multi-factor authentication, the method including receiving, filtering, and determining an identifying pattern from micro acceleration data representative of the user, storing the identifying pattern for later use in authenticating the identity of the user, and using the identifying pattern as one factor in a multi factor authentication.

Claim (Index 23):
A system for authentication using an electronic card, comprising:\n one or more memory devices storing software instructions; and one or more processors configured to execute software instructions to perform operations comprising:\n receiving micro acceleration data collected by one or more accelerometers of an electronic card; \n determining, based on micro acceleration data, one or more normalized Hausdorff space patterns; \n determining, based on the one or more normalized Hausdorff space patterns, an identifying pattern representative of a movement pattern of a user associated with the card; \n comparing the identifying pattern with a reference pattern; \n authenticating, based on the comparison, an identity of the user; and \n determining, based on the comparison, that the user is not an authorized person to possess the card.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 100.0
- Lexical Diversity: 1.71053
- Patent Class: 713.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16001930', '16040210', '16055420', '14747895', '15789669']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3897763432269258
- 35 USC 102 Novelty (BERT): 0.5438586879288752
- Combined Prediction Score: 0.4051845776971208
- Mean Citation Score: 230.339242
- Max Citation Score: 389.00662
- Similarity Product: 342.3427035908913

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