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:
receiving vehicle data based on active operation of a vehicle;
compiling a candidate driver identification profile (DIP) based on the received vehicle data;
comparing the candidate DIP to at least one pre-stored DIP;
determining a match between the candidate DIP and the at least one pre-stored DIP;
applying at least one restriction to a mobile station operated by a driver of the vehicle responsive to the match determination;
incrementing a DIP credibility score based on the DIP match to increase a DIP credibility threshold value for subsequent comparison operations; and
if the DIP credibility threshold values falls below a predetermined threshold value then deleting the at least one pre-stored DIP from memory.
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 , 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.
5. 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.
6. An apparatus, comprising:
a receiver configured to receive vehicle data based on active operation of a vehicle;
a processor configured to:
compile a candidate driver identification profile (DIP) based on the received vehicle data;
compare the candidate DIP to at least one pre-stored DIP;
determine a match between the candidate DIP and the at least one pre-stored DIP; and
a transmitter configured to transmit at least one restriction to a mobile station operated by a driver of the vehicle responsive to the match determination;
wherein the processor is further configured to increment a DIP credibility score based on the DIP match to increase a DIP credibility threshold value for subsequent comparison operations;
wherein if the DIP credibility threshold values falls below a predetermined threshold value then the at least one pre-stored DIP is deleted from memory.
7. The apparatus of claim 6 , 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.
8. The apparatus of claim 7 , wherein the vehicle peripheral activities comprise entertainment equipment preferences, vehicle seat settings, vehicle mirror settings, vehicle steering wheel settings, and vehicle climate control.
9. The apparatus of claim 6 , 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.
10. The apparatus of claim 6 , wherein the candidate DIP is declared a new DIP and stored in memory for subsequent DIP comparison operations.
11. A non-transitory computer readable storage medium configured to store instructions that when executed cause a processor to perform:
receiving vehicle data based on active operation of a vehicle;
compiling a candidate driver identification profile (DIP) based on the received vehicle data;
comparing the candidate DIP to at least one pre-stored DIP;
determining a match between the candidate DIP and the at least one pre-stored DIP;
applying at least one restriction to a mobile station operated by a driver of the vehicle responsive to the match determination;
incrementing a DIP credibility score based on the DIP match to increase a DIP credibility threshold value for subsequent comparison operations; and
if the DIP credibility threshold values falls below a predetermined threshold value then deleting the at least one pre-stored DIP from memory.
12. The non-transitory computer readable storage medium of claim 11 , 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.
13. The non-transitory computer readable storage medium of claim 12 , wherein the vehicle peripheral activities comprise entertainment equipment preferences, vehicle seat settings, vehicle mirror settings, vehicle steering wheel settings, and vehicle climate control.
14. The non-transitory computer readable storage medium of claim 11 , 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.