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Method for mobile device-based cooperative data capture

  • US 10,631,147 B2
  • Filed: 03/14/2018
  • Issued: 04/21/2020
  • Est. Priority Date: 09/12/2016
  • Status: Active Grant
First Claim
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1. A method for improving movement characteristic determination using a plurality of mobile devices in a vehicle, the method comprising:

  • receiving a first movement dataset corresponding to a first sensor of a first mobile device of the plurality of mobile devices, wherein the first movement dataset is associated with a first time period;

    receiving a second movement dataset corresponding to a second sensor of a second mobile device of the plurality of mobile devices, wherein the second movement dataset is associated with the first time period;

    detecting satisfaction of a device association condition indicative of the first and the second mobile devices residing in the vehicle, based on the first and the second movement datasets;

    after detecting the satisfaction of the device association condition;

    receiving a first subsequent movement dataset corresponding to the first sensor, wherein the first subsequent movement dataset is collected during a first portion of a second time period from the first sensor;

    receiving a second subsequent movement dataset corresponding to the second sensor, wherein the second subsequent movement dataset is collected during a second portion of the second time period from the second sensor; and

    retrieving a vehicle movement model;

    determining a vehicle movement characteristic based on the vehicle movement model and a combination of the first and the second subsequent movement datasets, wherein the vehicle movement characteristic describes movement of the vehicle during the second time period; and

    determining a classification of the first mobile device as associated with a driver of the vehicle based on at least one of the first and the second movement datasets, wherein determining the vehicle movement characteristic comprises determining the vehicle movement characteristic based on the classification, the vehicle movement model and at least one of the first and the second subsequent movement datasets.

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