PATENT CLAIM ANALYSIS

Application Number: 16132371
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["340", "435000"]

Abstract:
The present subject matter relates to varying warning intensity based on driving behaviour and driver state. Data related to external environment to a vehicle is fetched and the driver state and driving behavior is monitored. Based on the fetched data and monitored data, an event is determined and warning is generated for a driver of the vehicle. The intensity of the warning is varied based on severity of the event and the driver state and the driving behavior.

Claim (Index 13):
A non-transitory Computer Readable Medium (CRM) for providing assistance to a driver of a vehicle, the non-transitory CRM comprising instructions executable by a processor to:\n capture external environment data associated with an external environment of the vehicle; capture driving pattern of the driver; capture driver state data associated with the driver; adjust a region of interest of a view of the external environment based on data associated with path of travel of the vehicle; process the external environment data, the driving pattern and the driver state data to detect an event; and generate a warning for the driver in response to the event, wherein the intensity of the warning is based on at least one of the external environment data and the driver state data.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 97.0
- Lexical Diversity: 2.12821
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15592670', '15152094', '14707905', '15720283', '15625234']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6633710413999379
- 35 USC 102 Novelty (BERT): 0.4865867817531557
- Combined Prediction Score: 0.6456926154352597
- Mean Citation Score: 169.878518
- Max Citation Score: 190.987
- Similarity Product: 141.97302653139832

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

Dataset: test