System and method for monitoring and reducing vehicle operator impairment

US9932042B1 · US · B1

Patent metadata
FieldValue
Publication numberUS-9932042-B1
Application numberUS-201715481651-A
CountryUS
Kind codeB1
Filing dateApr 7, 2017
Priority dateDec 17, 2012
Publication dateApr 3, 2018
Grant dateApr 3, 2018

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator, the environment ahead of the vehicle, and/or force in one or more directions. For each of a plurality of trips, an impairment score is generated by analyzing the data about potential vehicle operator impairment, and determining whether the vehicle operator was impaired during the trip by comparing the impairment score to a threshold value. A specific time period during which the vehicle operator tends to be most impaired is determined based on the determinations of whether the vehicle operator was impaired. Recommendations to reduce operator impairment of the vehicle operator are identified and communicated to the vehicle operator.

First claim

Opening claim text (preview).

What is claimed: 1. A computer-implemented method comprising: retrieving data about potential vehicle operator impairment generated during a plurality of trips by monitoring, with a plurality of sensors, (i) a vehicle operator, (ii) an environment ahead of a vehicle of the vehicle operator, and (iii) force in one or more directions; for each trip of the plurality of trips, generating, by one or more processors, an impairment score by analyzing the data about potential vehicle operator impairment, and determining, by the one or more processors, whether the vehicle operator was impaired during the trip by comparing the impairment score to a threshold value; determining, by the one or more processors and based on the determinations of whether the vehicle operator was impaired, a specific time period during which the vehicle operator tends to be most impaired; identifying, by the one or more processors, one or more recommendations to reduce operator impairment of the vehicle operator, the one or more recommendations including a recommendation to avoid driving, or to remove distractions while driving, during at least the specific time period; and electronically communicating the one or more recommendations to the vehicle operator. 2. The computer-implemented method of claim 1 , wherein retrieving data about potential vehicle operator impairment includes retrieving data about potential vehicle operator impairment generated by: monitoring the vehicle operator with a first sensor; monitoring the environment ahead of the vehicle with a second sensor, and monitoring force in one or more directions with a third sensor. 3. The computer-implemented method of claim 1 , wherein retrieving data about potential vehicle operator impairment includes retrieving data about potential vehicle operator impairment generated by: monitoring the vehicle operator with a first optical sensor, monitoring the environment ahead of the vehicle with a second optical sensor, and monitoring force in one or more directions with an accelerometer. 4. The computer-implemented method of claim 3 , wherein retrieving data about potential vehicle operator impairment generated by monitoring the vehicle operator with the first optical sensor includes retrieving data about potential vehicle operator impairment generated by one or more of: monitoring vehicle operator blinks, including monitoring one or more of number, frequency, and duration of blinks; monitoring vehicle operator head nods; monitoring vehicle operator scanning frequency; or monitoring vehicle operator gaze fixation. 5. The computer-implemented method of claim 3 , wherein retrieving data about potential vehicle operator impairment generated by monitoring the vehicle operator with the first optical sensor includes retrieving data about potential vehicle operator impairment generated by: monitoring vehicle operator mirror checking; monitoring vehicle operator head rotations; monitoring vehicle operator scanning frequency; and monitoring vehicle operator gaze fixation. 6. The computer-implemented method of claim 3 , wherein retrieving data about potential vehicle operator impairment generated by monitoring the environment ahead of the vehicle with the second optical sensor includes retrieving data about potential vehicle operator impairment generated by: monitoring lane deviation; monitoring lane centering; and monitoring time to collision. 7. The computer-implemented method of claim 3 , wherein retrieving data about potential vehicle operator impairment generated by monitoring force in one or more directions with the accelerometer includes retrieving data about potential vehicle operator impairment generated by one or more of: monitoring fore-aft force to detect hard braking; monitoring fore-aft force change in speed; or monitoring lateral force. 8. The computer-implemented method of claim 1 , wherein the recommendations to reduce operator impairment further include recommendations to one or both of: reduce mobile device use; and reduce use of vehicle features. 9. The computer-implemented method of claim 1 , further comprising communicating an analysis of data about potential vehicle operator impairment as one or more of a graph, chart, table, or log of data entries. 10. A computer system comprising: one or more processors; a program memory storing executable instructions that when executed by the one or more processors cause the computer system to: retrieve data about potential vehicle operator impairment generated during a plurality of trips by monitoring, with a plurality of sensors, (i) a vehicle operator, (ii) an environment ahead of a vehicle of the vehicle operator, and (iii) force in one or more directions, for each trip of the plurality of trips, generate an impairment score by analyzing the data about potential vehicle operator impairment, and determine whether the vehicle operator was impaired during the trip by comparing the impairment score to a threshold value, determine, based on the determinations of whether the vehicle operator was impaired, a specific time period during which the vehicle operator tends to be most impaired, identify one or more recommendations to reduce operator impairment of the vehicle operator, the one or more recommendations including a recommendation to avoid driving, or to remove distractions while driving, during at least the specific time period, and electronically communicate the one or more recommendations to the vehicle operator. 11. The computer system of claim 10 , wherein the data about potential vehicle operator impairment is generated by: monitoring the vehicle operator with a first sensor; monitoring the environment ahead of the vehicle with a second sensor, and monitoring force in one or more directions with a third sensor. 12. The computer system of claim 11 , wherein the first sensor is an optical sensor, and wherein the data about potential vehicle operator impairment is generated by monitoring one or more of: vehicle operator blinks, including one or more of a number, a frequency, or a duration of the vehicle operator blinks; vehicle operator head nods; vehicle operator scanning frequency; or vehicle operator gaze fixation. 13. The computer system of claim 11 , wherein the second sensor is an optical sensor, and wherein the data about potential vehicle operator impairment is generated by monitoring one or more of: lane deviation; lane centering; and time to collision. 14. The computer system of claim 11 , wherein the third sensor is an accelerometer, and wherein the data about potential vehicle operator impairment is generated by monitoring one or more of: fore-aft force to detect hard braking; fore-aft force change in speed; or lateral force. 15. The computer system of claim 11 , wherein the first sensor is a first optical sensor, the second sensor is a second optical sensor, and the third sensor is an accelerometer. 16. A non-transitory, computer-readable medium storing instructions that, when executed by one or more processors of a computer system, cause the computer system to: retrieve data about potential vehicle operator impairment generated during a plurality of trips by monitoring, with a plurality of sensors, (i) a vehicle operator, (ii) an environment ahead of a vehicle of the vehicle operator, and (iii) force in one or more directions; for each trip of the plurality of trips, generate an impairment score by analyzing the data about potential vehicle operator impairment, and determine whether the vehicle operator was impaired

Assignees

Inventors

Classifications

  • due to sleepiness · CPC title

  • Insurance · CPC title

  • due to alcohol · CPC title

  • communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

  • Inactivity or incapacity of driver · CPC title

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What does patent US9932042B1 cover?
In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator, the environment ahead of the vehicle, and/or force in one or more directions. For each of a plurality of trips, an impairment score is generated by analyzing the data about potential vehicle operator impairment, and determining whether the vehi…
Who is the assignee on this patent?
State Farm Mutual Automobile Insurance Co
What technology area does this patent fall under?
Primary CPC classification B60W40/08. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Apr 03 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).