PATENT CLAIM ANALYSIS

Application Number: 15903293
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-10
Patent Classification: ["701", "001000"]

Abstract:
A vehicle drive assistance system is provided, which includes a general driver model learning engine configured to build a general driver model to be applied for a plurality of vehicle drivers based on driving data of the plurality of drivers, and an individual driver model learning engine configured to build an individual driver model particular to a specific vehicle driver based on the driving data of the specific driver received from a specific vehicle of the specific driver. The individual driver model learning engine includes a first synchronization engine configured to provide, to the general driver model learning engine, the driving data obtained by executing a first data conversion processing on the driving data of the specific driver.

Claim (Index 1):
A vehicle drive assistance system, comprising one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to execute:\n a general driver model learning engine configured to build a general driver model to be applied for a plurality of vehicle drivers based on driving data of the plurality of drivers; and an individual driver model learning engine configured to build an individual driver model particular to a specific vehicle driver based on driving data of the specific driver received from a specific vehicle operated by the specific driver, the individual driver model learning engine including a first synchronization engine configured to provide, to the general driver model learning engine, the driving data obtained by executing a first data conversion processing on the driving data of the specific driver.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 2.6383
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15256373', '13130727', '12087130', '15461468', '15897868']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4161099616696548
- 35 USC 102 Novelty (BERT): 0.4724449152747467
- Combined Prediction Score: 0.4217434570301641
- Mean Citation Score: 157.871498
- Max Citation Score: 161.78476
- Similarity Product: 113.0859273496008

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test