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 3):
The method of  claim 1 , further comprising determining an image quality associated with each image of the image sequence, wherein recording of each image of the image sequence is performed based on the image quality of a preceding image of the sequence exceeding a threshold quality.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 97.0
- Lexical Diversity: 2.23333
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15642094', '15805348', '15702601', '16022184', '15921152']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5991067685462675
- 35 USC 102 Novelty (BERT): 0.5307823748102348
- Combined Prediction Score: 0.5922743291726643
- Mean Citation Score: 143.08118100000004
- Max Citation Score: 218.42105
- Similarity Product: 136.53390839110017

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