Automatic identification of a vehicle driver based on driving behavior

• US 9,936,064 B2
• Filed: 12/01/2015
• Issued: 04/03/2018
• Est. Priority Date: 06/24/2012
• Status: Active Grant

• Current Assignee: Tango Networks Incorporated
• Original Assignee: Tango Networks Incorporated
• Inventors: Silver, Andrew, Lewis, Lathan
• Primary Examiner(s): Brandt, Christopher M
• Application Number:
  US14/955,507
• Publication Number:
  US 20160088147A1
• Time in Patent Office: 854 Days
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/90 Details of database functions independent of the retrieved data types
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04M 1/724098 Interfacing with an on-board device of a vehicle for hands-free speaking in vehicles H04M1/6075
• CPC Class Codes: H04M 1/72463 to restrict the functionality of the device
• CPC Class Codes: H04W 4/16 Communication-related supplementary services, e.g. call-transfer or call-hold
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/46 for vehicle-to-vehicle communication [V2V]

Abstract

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.

Claims

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.