Automatic identification of a vehicle driver based on driving behavior

US9936064B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9936064-B2
Application numberUS-201514955507-A
CountryUS
Kind codeB2
Filing dateDec 1, 2015
Priority dateJun 24, 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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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A method and apparatus are disclosed that identify a motor vehicle operation and whether a driver is operating a mobile device. One example of operation may include a method that includes receiving vehicle data based on active operation of a vehicle and compiling a candidate driver identification profile (DIP) based on the received vehicle data. The method may also include comparing the candidate DIP to a pre-stored DIP and determining a match between the candidate DIP and the pre-stored DIP. The method may also include applying a restriction to a mobile station operated by a driver of the vehicle responsive to the match determination.

First claim

Opening claim text (preview).

What is claimed is: 1. A method, comprising: compiling, via a computing device, a candidate driver identification profile (DIP) based on received vehicle data captured during operation of a vehicle; incrementing a DIP credibility score of at least one pre-stored DIP stored in memory of the computing device if there is a DIP match between the candidate DIP and the at least one pre-stored DIP, wherein incrementing the DIP credibility score comprises increasing the DIP credibility score to a value closer to or above a predetermined credibility threshold; identifying, via the computing device, a vehicle driver by determining a match between the candidate DIP and the at least one pre-stored DIP when the DIP credibility score is equal to or above the predetermined credibility threshold; and applying, based on one or more mobile station usage policies, at least one restriction to a mobile station operated by the vehicle driver. 2. The method of claim 1 , wherein the vehicle data comprises at least one of a vehicle acceleration rate, pedal position, vehicle route information, time between driver operated events, and one or more vehicle peripheral activities. 3. The method of claim 2 , wherein the vehicle peripheral activities comprise entertainment system preferences, vehicle seat settings, vehicle mirror settings, vehicle steering wheel settings, and vehicle climate control. 4. The method of claim 1 comprising applying the at least one restriction to the mobile station of the vehicle driver responsive to the DIP match. 5. The method of claim 4 , wherein the at least one restriction is related to the DIP match. 6. The method of claim 1 , comprising deleting the at least one pre-stored DIP from memory if the DIP credibility score is below a predetermined threshold. 7. The method of claim 1 , further comprising declaring the candidate DIP a new DIP and storing the new DIP in memory for subsequent DIP comparison operations. 8. An apparatus, comprising: a receiver configured to receive vehicle data captured during operation of a vehicle; a processor configured to: compile a candidate driver identification profile (DIP) based on the received vehicle data; increment a DIP credibility score of at least one pre-stored DIP stored in memory if there is a DIP match between the candidate DIP and the at least one pre-stored DIP, wherein the DIP credibility score in incremented to increase the DIP credibility score to a value closer to or above a predetermined credibility threshold; identify a vehicle driver by determining a match between the candidate DIP and the at least one pre-stored DIP when the DIP credibility score is equal to or above the predetermined credibility score; and apply, based on one or more mobile station usage policies, at least one restriction to a mobile station operated by the vehicle driver. 9. The apparatus of claim 8 , wherein the vehicle data comprises at least one of a vehicle acceleration rate, pedal position, time between driver operated events, vehicle route information, and one or more vehicle peripheral activities. 10. The apparatus of claim 9 , wherein the vehicle peripheral activities comprise entertainment equipment preferences, vehicle seat settings, vehicle mirror settings, vehicle steering wheel settings, and vehicle climate control. 11. The apparatus of claim 8 comprising a transmitter configured to transmit the at least one restriction to the mobile station operated by the vehicle driver. 12. The apparatus of claim 11 , wherein the at least one restriction is related to the DIP match. 13. The apparatus of claim 8 , wherein the processor is configured to delete the at least one pre-stored DIP from memory if the DIP credibility score is below a predetermined threshold. 14. The apparatus of claim 8 , wherein the candidate DIP is declared a new DIP and stored in memory for subsequent DIP comparison operations. 15. A non-transitory computer readable storage medium configured to store instructions that when executed cause a processor to perform: compiling, via a computing device, a candidate driver identification profile (DIP) based on received vehicle data captured during operation of a vehicle; incrementing a DIP credibility score of at least one pre-stored DIP stored in memory of the computing device if there is a DIP match between the candidate DIP and the at least one pre-stored DIP, wherein incrementing the DIP credibility score comprises increasing the DIP credibility score to a value closer to or above a predetermined credibility threshold; identifying, via the computing device, a vehicle driver by determining a match between the candidate DIP and the at least one pre-stored DIP when the DIP credibility score is equal to or above the predetermined credibility threshold; and applying, based on one or more mobile station usage policies, at least one restriction to a mobile station operated by the vehicle driver. 16. The non-transitory computer readable storage medium of claim 15 , wherein the vehicle data comprises at least one of a vehicle acceleration rate, pedal position, time between driver operated events, vehicle route information, and one or more vehicle peripheral activities. 17. The non-transitory computer readable storage medium of claim 16 , wherein the vehicle peripheral activities comprise entertainment equipment preferences, vehicle seat settings, vehicle mirror settings, vehicle steering wheel settings, and vehicle climate control. 18. The non-transitory computer readable storage medium of claim 15 comprising applying the at least one restriction to the mobile station operated by the vehicle driver responsive to the DIP match. 19. The non-transitory computer readable storage medium of claim 18 wherein the at least one restriction is related to the DIP match. 20. The non-transitory computer readable storage medium of claim 15 , further comprising at least one of: deleting the at least one pre-stored DIP from memory if the DIP credibility score is below a predetermined threshold; and declaring the candidate DIP a new DIP and storing the new DIP in memory for subsequent DIP comparison operations.

Assignees

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Classifications

  • to restrict the functionality of the device · CPC title

  • Machine learning · CPC title

  • Details of database functions independent of the retrieved data types · CPC title

  • using ranking · CPC title

  • for vehicle-to-vehicle communication [V2V] · CPC title

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Frequently asked questions

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What does patent US9936064B2 cover?
A method and apparatus are disclosed that identify a motor vehicle operation and whether a driver is operating a mobile device. One example of operation may include a method that includes receiving vehicle data based on active operation of a vehicle and compiling a candidate driver identification profile (DIP) based on the received vehicle data. The method may also include comparing the candida…
Who is the assignee on this patent?
Tango Networks Inc
What technology area does this patent fall under?
Primary CPC classification H04M1/72463. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Apr 03 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).