Systems and methods for detecting airbag deployment resulting from a vehicle crash

1. A method for detecting airbag deployment using a mobile device, the method comprising:

operating a plurality of sensors of the mobile device disposed in a vehicle during a drive to obtain a plurality of motion measurement signals;

determining, by a processor of the mobile device, a change in at least one motion measurement signal of the plurality of motion measurement signals;

determining, by the processor of the mobile device, that the change in the at least one motion measurement signal exceeds a first threshold;

in response to determining that the change in the at least one motion measurement signal exceeds the first threshold, obtaining a pressure measurement signal from a pressure sensor of the plurality of sensors of the mobile device;

determining, by the processor of the mobile device, a rate of change of the pressure measurement signal;

determining, by the processor of the mobile device, that the rate of change of the pressure measurement signal exceeds a second threshold;

in response to determining that the rate of change of the pressure measurement signal exceeds the second threshold, detecting a deployment of a vehicle airbag based on the change in the at least one motion measurement signal exceeding the first threshold and the rate of change of the pressure measurement signal exceeding the second threshold; and

based on detecting that the vehicle airbag is deployed:

determining that a vehicle crash event occurred, and

transmitting a signal to at least one of the mobile device or a computer of a service provider to output an indication of the vehicle crash event.

2. The method of claim 1 , wherein the plurality of sensors comprises a barometer, an accelerometer, a gyroscope, and a magnetometer.

3. The method of claim 2 , wherein the at least one motion measurement signal is generated by the accelerometer.

4. The method of claim 2 , wherein the at least one motion measurement signal is generated by the gyroscope.

5. The method of claim 2 , wherein the at least one motion measurement signal is generated by the magnetometer.

6. The method of claim 2 , wherein the at least one motion measurement signal is generated by any combination of the accelerometer, the gyroscope, and the magnetometer.

7. The method of claim 1 , wherein the at least one motion measurement signal is a rate of change of a motion measurement signal from a gyroscope or a magnetometer of the mobile device.

8. The method of claim 1 , wherein the at least one motion measurement signal is a rate of change of a global positioning system (GPS) speed signal received by the mobile device.

9. The method of claim 1 wherein determining the rate of change of the pressure measurement signal comprises:

obtaining a plurality of air pressure measurement signals measuring an air pressure inside the vehicle from a barometer of the mobile device; and

determining a change in the air pressure inside the vehicle over time based on the plurality of motion measurement signals generated by the barometer.

10. The method of claim 1 wherein the second threshold is based on a sampling frequency of the pressure measurement signal.

11. The method of claim 10 , wherein the second threshold is based on a regression function that relates between a set of second thresholds and a set of sampling frequencies; and

wherein the regression function is generated based on pressure measurement signals collected from past vehicle crash events.

12. The method of claim 1 , wherein detecting the deployment of the vehicle airbag comprises inputting information representing the pressure measurement signal and the at least one motion measurement signal to a trained classifier to detect whether the vehicle airbag is deployed.

13. The method of claim 12 , wherein the trained classifier is trained to extract, from the information representing the pressure measurement signal and the at least one motion measurement signal, features comprising at least one of: a peak acceleration and acceleration changes of the vehicle due to an impact, a rotation rate of the mobile device to sense vibrations from the impact, or a pressure and pressure changes based on the pressure measurement signal from the pressure sensor due to a deployment of the vehicle airbag; and

wherein the trained classifier is trained to detect whether the vehicle airbag is deployed based on the features.

14. A mobile device configured to detect airbag deployment, the mobile device comprising:

a plurality of sensors;

a memory configured to store instructions; and

a processor configured to communicate with the plurality of sensors and the memory, the processor further configured to execute the instructions stored in the memory, the instructions operable to cause the processor to:

operate the plurality of sensors of the mobile device disposed in a vehicle during a drive to obtain a plurality of motion measurement signals;

determine a change in at least one motion measurement signal of the plurality of motion measurement signals;

determine that the change in the at least one motion measurement signal exceeds a first threshold;

in response to determining that the change in the at least one motion measurement signal exceeds the first threshold, obtain a pressure measurement signal from a pressure sensor of the plurality of sensors;

determine a rate of change of the pressure measurement signal;

determine that rate of change of the pressure measurement signal exceeds a second threshold;

in response to determining that the rate of change of the pressure measurement signal exceeds the second threshold, detect a deployment of a vehicle airbag based on the change in the at least one motion measurement signal exceeding the first threshold and the rate of change of the pressure measurement signal exceeding the second threshold; and

based on detecting that the vehicle airbag is deployed:

determine that a vehicle crash event occurred, and

transmit a signal to at least one of the mobile device or a computer of a service provider to output an indication of the vehicle crash event.

15. The mobile device of claim 14 , wherein the plurality of sensors comprises a barometer, an accelerometer, a gyroscope, and a magnetometer.

16. The mobile device of claim 15 , wherein the at least one motion measurement signal is generated by the accelerometer.

17. The mobile device of claim 15 , wherein the at least one motion measurement signal is generated by any combination of the accelerometer, the gyroscope, and the magnetometer.

18. The mobile device of claim 14 , wherein the at least one motion measurement signal is a rate of change of a motion measurement signal from a gyroscope or a magnetometer of the mobile device.

19. The mobile device of claim 14 , wherein the at least one motion measurement signal is a rate of change of a global positioning system (GPS) speed signal received by the mobile device.

20. The mobile device of claim 14 wherein the processor is further configured to execute instructions operable to cause the processor to determine the rate of change of the pressure measurement signal by:

obtaining a plurality of air pressure measurement signals measuring an air pressure inside the vehicle from a barometer of the mobile device; and

determining a change in the air pressure inside the vehicle over time based on the plurality of air pressure measurement signals generated by the barometer.