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 11):
A method for driver identification comprising:\n recording a first image of a vehicle driver at an interior-facing camera of a vehicle system during a driving session; computing a first probability that the vehicle driver is associated with a driver identifier based on the first image; in response to the first probability falling below a first threshold value, recording a second image of the vehicle driver, and recomputing the first probability that the vehicle driver is associated with the driver identifier based on the first image and the second image; in response to the first probability exceeding the first threshold value, transmitting the first and second images to a remote computing system; extracting a feature vector from the first and second images at a feature extraction module of the remote computing system; determining a set of auxiliary sensor signals; computing a second probability that the vehicle driver is associated with the driver identifier based on the feature vector in combination with the set of auxiliary sensor signals; and associating the driver identifier with the driving session based on the second probability.

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): 0.6047117993037131
- 35 USC 102 Novelty (BERT): 0.5066707417650888
- Combined Prediction Score: 0.5949076935498506
- Mean Citation Score: 143.08118100000004
- Max Citation Score: 218.42105
- Similarity Product: 180.76921922829155

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