PATENT CLAIM ANALYSIS

Application Number: 15885412
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["340", "905000"]

Abstract:
Specifically programmed, integrated motor vehicle dangerous driving warning and control system and methods are disclosed. These systems and methods comprise at least one specialized communication computer machine including electronic artificial intelligence expert system decision making capability. These systems and methods further comprise one or more motor vehicle electronic sensors for monitoring the motor vehicle and for monitoring activities of the driver and/or passengers including activities related to the use of cellular telephones and/or other wireless communication devices and further comprise electronic communications transceiver assemblies for communications with external sensor networks for monitoring dangerous driving situations, weather conditions, roadway conditions, pedestrian congestion and motor vehicle traffic congestion conditions. The disclosed specifically programed motor vehicle danger warning and control system and methods make use of said artificial intelligence expert system decision making capability based on the sensor inputs to derive warning and/or control signals for warning the driver of dangerous driving situations and/or for controlling the motor vehicle driver use of said cellular telephone and/or other wireless communication devices.

Claim (Index 39):
An integrated motor vehicle dangerous driving warning and control method comprising at least one electronic, specifically programmed, specialized device control communication computer machine including electronic artificial intelligence expert system decision making capability and further comprising the following steps:\n a. the step of deriving electronic signals from one or more motor vehicle electronic sensors including one or more interior vehicle cameras and image analysis software used for monitoring activities of the motor vehicle driver and/or passengers that may distract the driver including activities related to the use of cellular telephones and/or other wireless communication devices, b. the step of receiving information reporting one or more of weather conditions, roadway dangers, traffic congestion and/or pedestrian congestion via one or more electronic communications transceiver assemblies used for communications with electronic external sensor networks, c. the step of deriving control signals for controlling the use of said cellular telephone and/or other wireless communication devices and/or for warning the driver of dangerous driving situations based on artificial intelligence expert system decision making capability, said decisions based on said motor vehicle electronic sensor inputs and/or said electronic external sensor network inputs; d. the step of deriving sensor signals indicative of vehicle motion and cellular telephone usage by the driver of the motor vehicle; e. upon detection of defined vehicle motion and driver usage of a cellular telephone, the further step of deriving danger warning indices indicative of a degree of danger for driver continuing the use of the cellular telephone; and f. wherein said driver warning indices are based on artificial intelligence expert systems propositional computations derived from specific cellular telephone usage and driver distraction parameters together with parameters defining ranges of driving conditions such as roadway conditions, traffic congestion, weather information and/or pedestrian congestion.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 86.0
- Lexical Diversity: 2.16049
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15439673', '15885242', '15052483', '10420395', '11050045']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6611527887021976
- 35 USC 102 Novelty (BERT): 0.525349397565222
- Combined Prediction Score: 0.6475724495885001
- Mean Citation Score: 259.605648
- Max Citation Score: 293.01764
- Similarity Product: 206.9363588886452

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

Dataset: test