PATENT CLAIM ANALYSIS

Application Number: 16041103
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-03
Patent Classification: ["340", "475000"]

Abstract:
Disclosed are systems and methods for activating turn indicators of a motor vehicle. The disclosed methods includes collecting, for a predetermined period of time, from a plurality of internal and externals sensors of the vehicle, information associated with a plurality of driving maneuvers performed by a driver of the vehicle, the collected information includes at least one of information about driver's behavior, vehicle condition, road condition or traffic condition; feeding the collected information into a neural network for training a plurality of rules that determine when to automatically activate turn indicators based at least on driver's behavior; applying one or more trained rules to predict the next vehicle maneuver by the driver; and automatically activating a turn indicator of the vehicle based on the application of the one or more rules before the next vehicle maneuver is performed by the driver.

Claim (Index 3):
The method of  claim 1 , wherein information about driver's behavior includes:\n a change in a position of at least one hand of the driver on a steering wheel of the motor vehicle in a direction of rotation opposite to a direction of rotation of the steering wheel.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 95.0
- Lexical Diversity: 2.13889
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15700390', '12179048', '12179314', '12179013', '15351629']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7057921583913211
- 35 USC 102 Novelty (BERT): 0.5418517017390037
- Combined Prediction Score: 0.6893981127260894
- Mean Citation Score: 241.281096
- Max Citation Score: 368.80957
- Similarity Product: 332.8866350190491

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