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 37):
A method for authentication using an electronic transaction card, comprising:\n receiving reference micro acceleration data; determining, based on micro acceleration data, a reference pattern; storing the reference pattern into a storage device; receiving the micro acceleration data collected by one or more accelerometers of an electronic card; determining, based on the micro acceleration data, one or more normalized Hausdorff space patterns; 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; comparing the identifying pattern with the reference pattern; determining, based on the comparison, that the user is an authorized user of the card; and upon determining that the user is an authorized user of the card, approving a financial transaction.

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): 0.3900978041511189
- 35 USC 102 Novelty (BERT): 0.5435437879608813
- Combined Prediction Score: 0.4054424025320952
- Mean Citation Score: 230.339242
- Max Citation Score: 389.00662
- Similarity Product: 333.0469400368654

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