PATENT CLAIM ANALYSIS

Application Number: 15921472
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["701", "119000"]

Abstract:
Systems and methods for characterizing a driving style of a human driver are presented. A system may include one or more sensors configured to collect information concerning driving characteristics associated with operation of a vehicle by a human; a memory containing computer-readable instructions for evaluating the information concerning driving characteristics collected by the one or more sensors for one or more patterns correlatable with a driving style of the human and for characterizing aspects of the driving style of the human based on the one or more patterns; and a processor configured to read the computer-readable instructions from the memory, evaluate the driving characteristics collected by the one or more sensors for one or more patterns correlatable with a driving style of the human, and characterize aspects of the driving style of the human based on the one or more patterns. Corresponding methods and non-transitory media are disclosed.

Claim (Index 9):
The system of  claim 7 , wherein the processor is further configured to automatically generate a warning communicable to a human operating the nearby vehicle based on a preferred driving experience of the human operating the nearby vehicle.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 90.0
- Lexical Diversity: 2.76786
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13738317', '13962177', '15608458', '15292970', '15497458']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4558679546920122
- 35 USC 102 Novelty (BERT): 0.4955710787319159
- Combined Prediction Score: 0.4598382670960026
- Mean Citation Score: 192.417578
- Max Citation Score: 204.81615
- Similarity Product: 127.95580480128228

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

Dataset: test