Method for smartphone-based accident detection

1. A system for determining a vehicular accident associated with first user and a vehicle, the system comprising:

a first application executing on a first device associated with the first user, wherein the first application is operable to collect a first movement dataset sampled from at least one of a first motion sensor and a first location sensor of the first device; and wherein the first application is operable to collect a first and second pressure dataset sampled from a first pressure sensor of the first device; and

an accident detection processing system operable to:

at a first time, determine a pressure threshold condition based on the first pressure dataset;

at a second time, extract a pressure level from the second pressure dataset, wherein the second time is different from the first time;

retrieve an accident detection model; and

in response to the pressure level satisfying the threshold pressure condition at the second time, execute an accident detection routine, the accident detection routine operable to determine a vehicular accident event in substantially real-time with the accident detection model using the first movement dataset.

2. The system of claim 1 , wherein the accident detection processing system is operable to:

extract a vehicle motion characteristic from the first movement dataset, wherein the vehicle motion characteristic describes movement of the vehicle; and

detect satisfaction of a threshold condition based on the vehicle motion characteristic and the first pressure dataset.

3. The system of claim 2 , wherein retrieval of the accident detection model occurs in response to detection of the satisfaction of the threshold condition.

4. The system of claim 1 , further comprising:

a set of supplementary applications executing on a set of supplementary devices associated with a plurality of users and a plurality of vehicles, wherein the set of supplementary applications is operable to collect a set of supplementary pressure datasets sampled at sensors of the set of supplementary devices during driving sessions associated with the plurality of vehicles,

wherein the accident detection model comprises an accident detection machine learning model, and

wherein the accident detection processing system is operable to:

train the accident detection machine learning model based on the set of supplementary pressure datasets; and

determine the vehicular accident event with the accident detection machine learning model, the first pressure dataset, and the first movement dataset.

5. The system of claim 1 , wherein the accident detection processing system is operable to, in response to determination of the vehicular accident event, initiate an accident response action associated with the vehicular accident.

6. The system of claim 5 , further comprising: a second application executing on a second device associated with a second user, wherein the accident response action comprises transmission of an accident-related communication to the second device through the second application.

7. The system of claim 6 , wherein the second user is associated with an emergency service, and wherein the accident-related communication comprises location data indicating an accident location of the vehicular accident.

8. The system of claim 1 , wherein the mobile computing device comprises a microphone, wherein the first application is operable to collect an acoustic dataset sampled at the microphone and comprising pressure waves emitted by the vehicle during a time period associated with the first movement dataset, and wherein the accident detection processing system is operable to determine the vehicular accident event with the accident detection model, the acoustic dataset, and the first movement dataset.