Automatic identification of a vehicle driver based on driving behavior
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.
1. A method, comprising:
compiling a candidate driver identification profile (DIP) based on received vehicle data;
comparing the candidate DIP to at least one pre-stored DIP;
incrementing a DIP credibility score of the at least one pre-stored DIP if there is a DIP match between the candidate DIP and the at least one pre-stored DIP; and
deleting the at least one pre-stored DIP from memory if the DIP credibility score is below a predetermined threshold.
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 at least one restriction to a mobile station operated by a driver of the vehicle responsive to the match determination.
5. The method of claim 4 , wherein the at least one restriction is related to the match determination.
6. The method of claim 1 , wherein the determining the match between the candidate DIP and the at least one pre-stored DIP further comprises declaring a match when the candidate DIP matches the at least one pre-stored DIP having a predetermined credibility 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;
a processor configured to:
compile a candidate driver identification profile (DIP) based on received vehicle data;
compare the candidate DIP to at least one pre-stored DIP;
increment a DIP credibility score of the at least one pre-stored DIP if there is a DIP match between the candidate DIP and the at least one pre-stored DIP; and
delete the at least one pre-stored DIP from memory if the DIP credibility score is below a predetermined threshold.
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 at least one restriction to a mobile station operated by a driver of the vehicle.
12. The apparatus of claim 11 , wherein the at least one restriction is related to the match determination.
13. The apparatus of claim 8 , wherein the processor determines the match between the candidate DIP and the at least one pre-stored DIP by matching the candidate DIP to the one pre-stored DIP having a predetermined credibility 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 a candidate driver identification profile (DIP) based on received vehicle data;
comparing the candidate DIP to at least one pre-stored DIP;
incrementing a DIP credibility score of the at least one pre-stored DIP if there is a DIP match between the candidate DIP and the at least one pre-stored DIP; and
deleting the at least one pre-stored DIP from memory if the DIP credibility score is below a predetermined threshold.
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 at least one restriction to a mobile station operated by a driver of the vehicle responsive to the match determination.
19. The non-transitory computer readable storage medium of claim 18 wherein the at least one restriction is related to the match determination.
20. The non-transitory computer readable storage medium of claim 15 , wherein the determining the match between the candidate DIP and the at least one pre-stored DIP further comprises declaring a match when the candidate DIP matches the at least one pre-stored DIP having a predetermined credibility threshold, and declaring the candidate DIP a new DIP and storing the new DIP in memory for subsequent DIP comparison operations.