METHODS AND SYSTEMS FOR DETERMINING AUTO ACCIDENTS USING MOBILE PHONES AND INITIATING EMERGENCY RESPONSE

• US 20150084757A1
• Filed: 09/22/2014
• Published: 03/26/2015
• Est. Priority Date: 09/23/2013
• Status: Abandoned Application

• Current Assignee: Agero Incorporated (The Cross Country Group LLC)
• Original Assignee: Agero Incorporated (The Cross Country Group LLC)
• Inventors: Annibale, Christopher, Behara, Raj, Bourne, Julian J., Ferrick, David P., McDonald, Joseph
• Application Number:
  US14/493,040
• Publication Number:
  US 20150084757A1
• Time in Patent Office: Days
• US Class Current: 340/436
• CPC Class Codes: G08B 25/001 Alarm cancelling procedures or alarm forwarding decisions, e.g. based on absence of alarm confirmation
• CPC Class Codes: G08B 25/006 Alarm destination chosen according to type of event, e.g. in case of fire phone the fire service, in case of medical emergency phone the ambulance
• CPC Class Codes: G08B 25/016 Personal emergency signalling and security systems emergency non-personal manually actuated alarm activators G08B25/12
• CPC Class Codes: G08B 25/10 using wireless transmission systems G08B25/009 takes precedence
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04M 1/72421 with automatic activation of emergency service functions, e.g. upon sensing an alarm
• CPC Class Codes: H04M 2250/12 including a sensor for measuring a physical value, e.g. temperature or motion telephones including GPS signal receivers H04M2250/10
• CPC Class Codes: H04W 4/38 for collecting sensor information
• CPC Class Codes: H04W 4/90 Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]

Abstract

A method for providing automatic crash management (ACM) is provided. An ACM application is enabled on a mobile device. Data is collected from a plurality of sensors associated with the mobile device. The data from the plurality of sensors is processed with the ACM application. The processed data is monitored with accident logic of the ACM application running on the mobile device to determine whether a crash has been detected. The data from the plurality of sensors is automatically streamed to the off-board server for further analysis upon detection of the crash.

Claims

1. A method for providing automatic crash management (ACM), which comprises:

enabling an ACM application on a mobile device;

collecting data from a plurality of sensors associated with the mobile device;

processing the data from the plurality of sensors with the ACM application;

monitoring the processed data with accident detection logic of the ACM application running on the mobile device to determine whether a crash has been detected;

determining a severity of the crash from the processed data with the ACM application;

sending the determined severity to an off-board server; and

automatically streaming the data from the plurality of sensors to the off-board server for further analysis upon detection of the crash.

2. The method of claim 1, wherein the plurality of sensors are located in the mobile device.

3. The method of claim 2, wherein the plurality of sensors are located in one or more wearable computing devices in addition to the sensors located in the mobile device.

4. The method of claim 3, wherein the wearable computing devices are synced with the mobile device.

5. The method of claim 3, wherein the wearable devices connect with a cellular and/or WIFI network.

6. The method of claim 3, wherein the ACM application confirms the crash using data from the plurality of sensors of the mobile device and/or wearable computing device.

7. The method of claim 1, wherein crash detection is performed as a Bayesian inference algorithm incorporating a motion signature of the mobile device.

8. The method of claim 1, wherein the processed data is recorded for a specified time before and after a detected crash.

9. The method of claim 1, wherein an ambient light sensor of the mobile device is used by the ACM application to determine a relative position of the mobile device.

10. The method of claim 1, wherein a flash function of the mobile device is used by the ACM application to take pictures and/or record video prior to, during, and after the crash.

11. The method of claim 1, wherein the ACM application determines status data of a crash victim with the plurality of sensors.

12. The method of claim 11, wherein the status data includes biometric information.

13. The method of claim 1, wherein the severity of the crash is based on an inferred delta velocity and a road type.

14. The method of claim 1, wherein biometric data in addition to other sensor data of the plurality of sensors is used to determine severity.

15. The method of claim 1, wherein the ACM application alerts a user of the mobile device that a crash has been detected.

16. The method of claim 15, wherein the ACM application provides a user of the mobile device with an option to cancel assistance.

17. The method of claim 1, wherein the ACM application initiates the automatic streaming of the data from the plurality of sensors and continues to determine severity and monitor for other events with the mobile device.

18. The method of claim 1, wherein the ACM application acts as a mobile event data recorder that retrospectively records event information.

19. The method of claim 1, wherein the data from the plurality of sensors is processed one of periodically and continuously depending on the resources available to the mobile device.

20. A method for providing automatic crash management (ACM), which comprises:

enabling an ACM application on a mobile device;

collecting data from a plurality of sensors associated with the mobile device;

periodically processing the data from the plurality of sensors with the ACM application;

monitoring the processed data with accident detection logic of the ACM application running on the mobile device to determine whether a crash has been detected; and

automatically streaming the data from the plurality of sensors to the off-board server for further analysis upon detection of the crash.