Methods and systems for pattern-based identification of a driver of a vehicle
A system for pattern-based identification of a driver of a vehicle includes a mobile device; and a server configured to communicate with the mobile device. The mobile device collects movement information during a driving trip via one or more sensors in the mobile device, and communicates the collected movement information to a server. The server analyzes the movement information via a classifier, identifies driving features for the driver based at least in part on the analysis of the movement information, creates an identification model for the driver based on identified driving features, and stores the identification model.
1. A mobile device, comprising:
one or more sensors;
a memory; and
a processor communicatively coupled to the memory and the one or more sensors, wherein the processor is configured to perform operations including:
operating the one or more sensors of the mobile device to obtain a plurality of movement measurements while the mobile device is disposed inside a vehicle during a drive;
extracting a subset of movement measurements from the plurality of movement measurements;
identifying three acceleration components from the subset of movement measurements;
determining a vertically directed acceleration component of the vehicle from the three identified acceleration components based on a correlation of a first portion of the subset of movement measurements with a gravity vector;
determining a laterally directed acceleration component of the vehicle from two remaining components of the three identified acceleration components based on a correlation of a rotation rate of a second portion of the subset of movement measurements projected along the gravity vector; and
outputting a remaining component of the three identified acceleration components as a longitudinal acceleration component of the vehicle.
2. The mobile device of claim 1 , wherein the processor is further configured to:
determine a sign of a correlation coefficient for the laterally directed acceleration component; and
in response to determining that the sign of the correlation coefficient is positive, determine that the laterally directed acceleration component is in a direction of vehicle travel.
3. The mobile device of claim 1 , wherein the processor is further configured to:
determine a sign of a correlation coefficient for the laterally directed acceleration component; and
in response to determining that the sign of the correlation coefficient is negative, reverse a sign of the laterally directed acceleration component of the vehicle.
4. The mobile device of claim 1 , wherein the subset of movement measurements corresponds to one or more time periods where the mobile device is stationary with respect to the vehicle.
5. The mobile device of claim 1 , wherein the processor is further configured to identify the three acceleration components from the subset of movement measurements by performing principal component analysis.
6. The mobile device of claim 1 , wherein the one or more sensors of the mobile device comprise one or more an accelerometer, a gyroscope, a magnetometer, and a global positioning system (GPS) receiver.
7. A method of classifying acceleration components of vehicle movement measurements with a mobile device disposed in a vehicle, the method comprising:
operating one or more sensors of the mobile device to obtain a plurality of movement measurements over a plurality of time periods during a drive;
extracting, via a processor of the mobile device, a subset of movement measurements from the plurality of movement measurements;
identifying, by the processor, three acceleration components from the subset of movement measurements;
determining, via the processor, a vertically directed acceleration component of the vehicle from the three identified acceleration components based on a correlation of a first component of the subset of movement measurements with a gravity vector;
determining, via the processor, a laterally directed acceleration component of the vehicle from two remaining components of the three identified acceleration components based on a correlation of a rotation rate of a second component of the subset of movement measurements projected along the gravity vector; and
outputting a remaining component of the three identified acceleration components as a longitudinal acceleration component of the vehicle.
8. The method of claim 7 , further comprising:
determining, via the processor, a sign of a correlation coefficient for the laterally directed acceleration component; and
in response to determining that the sign of the correlation coefficient is positive, determining that the laterally directed acceleration component is in a direction of vehicle travel.
9. The method of claim 7 , further comprising:
determining, via the processor, a sign of a correlation coefficient for the laterally directed acceleration component; and
in response to determining that the sign of the correlation coefficient is negative, reversing a sign of the laterally directed acceleration component of the vehicle.
10. The method of claim 7 , wherein the subset of movement measurements corresponds to one or more time periods where the mobile device is stationary with respect to the vehicle.
11. The method of claim 7 , wherein identifying the three acceleration components from the subset of movement measurements comprises performing, by the processor, principal component analysis on the subset of movement measurements.
12. The method of claim 7 , wherein the one or more sensors of the mobile device comprise one or more an accelerometer, a gyroscope, a magnetometer, and a global positioning system (GPS) receiver.
13. A system comprising:
a mobile device disposed in a vehicle, the mobile device comprising a plurality of sensors;
a memory; and
a processor communicatively coupled to the memory and the plurality of sensors, wherein the processor is configured to perform operations including:
operating the plurality of sensors of the mobile device to obtain a plurality of movement measurements;
extracting a subset of movement measurements from the plurality of movement measurements;
identifying three acceleration components from the subset of movement measurements;
determining a vertically directed acceleration component of the vehicle from the three identified acceleration components based on a correlation of a first component of the subset of movement measurements with a gravity vector;
determining a laterally directed acceleration component of the vehicle from two remaining components of the three identified acceleration components based on a correlation of a rotation rate of a second component of the subset of movement measurements projected along the gravity vector; and
outputting a remaining component of the three identified acceleration components as a longitudinal acceleration component of the vehicle.
14. The system of claim 13 , wherein the processor is further configured to:
determine a sign of a correlation coefficient for the laterally directed acceleration component; and
in response to determining that the sign of the correlation coefficient is positive, determine that the laterally directed acceleration component is in a direction of vehicle travel.
15. The system of claim 13 , wherein the processor is further configured to:
determine a sign of a correlation coefficient for the laterally directed acceleration component; and
in response to determining that the sign of the correlation coefficient is negative, reverse a sign of the laterally directed acceleration component of the vehicle.
16. The system of claim 13 , wherein the subset of movement measurements corresponds to one or more time periods where the mobile device is stationary with respect to the vehicle.
17. The system of claim 13 , wherein the processor is configured to identify the three acceleration components from the subset of movement measurements by performing principal component analysis.
18. The system of claim 13 , wherein the plurality of sensors of the mobile device comprises one or more an accelerometer, a gyroscope, a magnetometer, and a global positioning system (GPS) receiver.
19. The system of claim 18 , wherein the subset of movement measurements is obtained using at least one of the accelerometer and the gyroscope of the mobile device.