PATENT CLAIM ANALYSIS

Application Number: 16206491
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["455", "411000"]

Abstract:
A system for implicit authentication for a mobile device associated with a user, wherein the implicit authentication is behavioural, biometric and task-based and includes at least one authentication task selected so as to leverage the user's muscle memory. The mobile device comprises a touchscreen; a transaction authentication information unit; one or more sensors coupled to the transaction authentication information unit; and an anomaly detector coupled to the transaction authentication information unit. The sensors comprise one or more touchscreen sensors coupled to the touchscreen, an accelerometer, and a gyroscope, and are used to obtain and transmit one or more sets of data to the transaction authentication information unit. The sets of data are associated with one or more performances of the authentication task by the user. The anomaly detector generates an authentication model using the one or more data sets transmitted to the transaction authentication information unit.

Claim (Index 56):
The system of  claim 53 , wherein the learning comprises comparing the performances of the authentication task, to an attempt by an impostor to imitate the performance of the authentication task.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 98.0
- Lexical Diversity: 2.53968
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14829969', '15701916', '15059692', '14337939', '14593432']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6838628187401287
- 35 USC 102 Novelty (BERT): 0.554028429591208
- Combined Prediction Score: 0.6708793798252366
- Mean Citation Score: 271.506072
- Max Citation Score: 417.6129
- Similarity Product: 289.2744439145565

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