PATENT CLAIM ANALYSIS

Application Number: 16294103
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["705", "004000"]

Abstract:
A system for determining a subjective risk score may include a vehicle and/or a computing device associated with a user travelling within the vehicle. The computing device may receive input from the user when the user feels a sense of unease regarding a particular road segment upon which the vehicle is traveling. The system may further include a subjective risk analysis computing system that may be communicatively coupled to the computing device. The subjective risk analysis computing system may receive subjective risk information corresponding to the user's sense of unease regarding particular road segments and may process the subjective risk information to determine a subjective risk score for each of a plurality of road segments along a route. An insurance company may use this information to determine whether to adjust a quote or premium of an insurance policy.

Claim (Index 18):
The method of  claim 11 , comprising:\n receiving, by the at least one processor, from the computing device associated with the user travelling within the vehicle, image data associated with an imaging device in the vehicle; and analyzing, by the at least one processor, the image data when determining the subjective risk score for the road segment of the plurality of road segments.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.11765
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15013523', '15296915', '15646833', '15299239', '15802639']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1176521658552068
- 35 USC 102 Novelty (BERT): 0.5545146704639564
- Combined Prediction Score: 0.1613384163160818
- Mean Citation Score: 295.412286
- Max Citation Score: 454.1548
- Similarity Product: 316.4778002726555

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

Dataset: test