PATENT CLAIM ANALYSIS

Application Number: 16160809
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["348", "148000"]

Abstract:
A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.

Claim (Index 8):
The method of  claim 1 , wherein the set of auxiliary sensor signals comprises a set of historical data associated with past driving sessions.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 97.0
- Lexical Diversity: 2.23333
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15642094', '15805348', '15702601', '16022184', '15921152']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6268971056021817
- 35 USC 102 Novelty (BERT): 0.534817061800846
- Combined Prediction Score: 0.6176891012220482
- Mean Citation Score: 143.08118100000004
- Max Citation Score: 218.42105
- Similarity Product: 133.32068539912106

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