PATENT CLAIM ANALYSIS

Application Number: 16058745
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["702", "141000"]

Abstract:
A system for pattern-based identification of a driver of a vehicle includes a mobile device; and a server configured to communicate with the mobile device. The mobile device collects movement information during a driving trip via one or more sensors in the mobile device, and communicates the collected movement information to a server. The server analyzes the movement information via a classifier, identifies driving features for the driver based at least in part on the analysis of the movement information, creates an identification model for the driver based on identified driving features, and stores the identification model.

Claim (Index 21):
A method for updating a driver identification model for a driver of a vehicle using collected information, the method comprising:\n operating a mobile device placed in the vehicle to collect first movement information and first non-movement information during a first driving trip via one or more sensors in the mobile device; analyzing the first movement information and the first non-movement information with a classifier; identifying driving features for the driver of the vehicle for the first driving trip based at least in part on an analysis; creating an identification model for the driver of the vehicle for the first driving trip based on identified driving features and storing the identification model; collecting second movement information and second non-movement information during a second driving trip; analyzing the second movement information and the second non-movement information with the classifier to generate a feature representation for a driver of the vehicle for the second driving trip; comparing, with the classifier, the generated feature representation with the stored identification model; matching, by the classifier, the generated feature representation with the stored identification model; and updating the identification model with additional driving features from the generated feature representation.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 96.0
- Lexical Diversity: 2.01923
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14749232', '15149603', '14139510', '14152458', '14477519']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1982343809276802
- 35 USC 102 Novelty (BERT): 0.4976963574437879
- Combined Prediction Score: 0.228180578579291
- Mean Citation Score: 203.369928
- Max Citation Score: 253.50745
- Similarity Product: 181.2828275180936

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