User-controlled, smart device-based location and transit data gathering and sharing

• US 9,628,958 B1
• Filed: 09/18/2014
• Issued: 04/18/2017
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: McBurney, Paul
• Original Assignee: McBurney, Paul
• Inventors: McBurney, Paul
• Primary Examiner(s): Taylor, Nathan
• Application Number:
  US14/489,744
• Time in Patent Office: 943 Days
• Field of Search: 4554561
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information

Abstract

Systems and methods are provided that gather and store time-series location information or other time-series information of a user using a mobile electronic device such as a smart phone and place that location information or other information under control of the user. A variety of types of analytics may be applied to the location information by consent of the user, and results may be shared by electronic consent of the user in order to provide benefit to the user. The benefit may be commercial, personal, social, etc. The information may be stored in encrypted form.

Claims

1. A method of using a mobile application running on a mobile electronic device comprising an accelerometer and having location determination capabilities to gather a data sequence of a user comprising location coordinate information, the method comprising:

monitoring received RF transmissions from a plurality of fixed-location devices;

at different times and places, determining and storing as a location database location coordinate information corresponding to a description of received RF transmissions;

in at least some instances, determining location coordinate information using the location database constructed by the mobile application or using a location database constructed by another mobile application running on another mobile electronic device; and

the mobile application or a device in communication with the mobile electronic device using the data from the accelerometer to perform verification of the location coordinate information, wherein the data from the accelerometer and the location coordinate information are obtained from independent sources.

2. The method of claim 1 comprising:

the mobile application using data from the accelerometer to perform at least one of;

steps tracking;

range accumulation; and

turn detection;

the mobile application obtaining location coordinate information on a discontinuous, as-needed basis in response to at least one of;

accumulation of a number of steps;

accumulation of a specified range; and

detection of a turn; and

the mobile electronic device or on a device in communication with the mobile electronic device;

using the location coordinate information, performing map matching; and

using results of the map matching to calculate a distance traveled.

3. The method of claim 2, wherein in at least some instances the location coordinate information is obtained using a locally stored database.

4. The method of claim 3, wherein in at least some instances, the location coordinate information is obtained using GPS or network fixes, further comprising cross-checking location coordinate information obtained using a locally stored database and location information using GPS or network fixes, whereby location spoofing may be detected.

5. The method of claim 4, comprising removing from the data from the accelerometer data attributable to said hand movement in preparation for further processing.

6. The method of claim 4, wherein the locally stored database has been cross checked on a server to remove low confidence reference points to eliminate possible spoofed reference points.

7. The method of claim 4, comprising using accelerometer data to identify hand use while driving.

8. The method of claim 3, comprising reducing power consumption by eliminating the need to request location information from the operating system.

9. The method of claim 8, comprising determining a private location profile that is not known by the operating system or other applications on the mobile electronic device.

10. The method of claim 2, wherein map matching is performed using sparse, discontinuous data.

11. The method of claim 10, wherein the sparse, discontinuous data comprises start point, end point, and locations nearby turns to determine permissible roads.

12. The method of claim 2, comprising:

detecting steps; and

in response, performing one of;

exiting a driving mode status; and

perpetuating a status other than driving mode status.

13. The method of claim 2, comprising the mobile application using the data from the accelerometer to perform verification of the location coordinate information, wherein the data from the accelerometer and the location coordinate information are obtained from independent sources.

14. The method of claim 2, wherein the accelerometer data is determined at a rate from two to 15 times a rate at which the location data is determined.

15. The method of claim 14, comprising using the data from the accelerometer to perform at least one of:

determining miles traveled to or from work;

determining miles traveled during work;

determining walking distance while at work.

16. The method of claim 2, wherein an application running on the mobile electronic device gathers the data sequence, and the application augments the data with a periodic time indicator enabling operation and non-operation of the application to be determined.

17. The method of claim 2, comprising:

detecting a driving mode; and

during driving mode;

in at least some areas that have been driven before, conserving power by deriving location data using a database of reference points stored locally on the mobile electronic device; and

in at least some other areas, deriving location data using at least one of GPS and network fixes provided by a operating system of the mobile electronic device.

18. The method of claim 17, comprising:

detecting a static mode in which the mobile electronic device is stationary;

during static mode, reducing power consumption by not requesting location coordinate information from the operating system.

19. The method of claim 17, comprising:

detecting turns; and

using the absence of a turn to delay a request for location coordinate information from the operating system.

20. The method of claim 17, comprising using accelerometer data for categorizing driving behavior.

21. The method of claim 20, comprising categorizing driving behavior by:

producing map-snapped data;

associating acceleration events with map location according to time

information of the map snapped data.

22. The method of claim 17, comprising using accelerometer data for improving map matching with respect to corners and stops.

23. The method of claim 17, comprising operating in a private location mode based on previously determined locations.

24. The method of claim 23, comprising identifying locations of turns, speedup and slow-down with route rules such as stop signs and speed limit.

25. The method of claim 2, comprising:

detecting a driving mode; and

during driving mode, conserving power by detecting at least some turns using accelerometer readings only, comprising for each of a plurality of pairs of axes X, Y and Z, determining an estimated average acceleration ratio for the pair of axes.

26. The method of claim 25, comprising using acceleration ratios to distinguish between at least one of:

a) right turns and left turns; and

b) speeding up and slowing down.

27. The method of claim 25, wherein the mobile electronic device is a phone, comprising determining offset between phone body frame and navigation frame to distinguish between at least one of:

a) right turns and left turns; and

b) speeding up and slowing down.

28. The method of claim 2, comprising processing the data from the accelerometer to detect hand movement in which a user holds and moves the mobile electronic device.

29. The method of claim 2, comprising:

detecting steps; and

in response, performing one of;

exiting a driving mode status; and

perpetuating a status other than driving mode status.

30. A method of using a mobile application running on a mobile electronic device comprising an accelerometer and having location determination capabilities to gather a data sequence of a user comprising location coordinate information, the method comprising:

observing beacon transmissions of network access points;

checking a database stored locally on the mobile electronic device to see if location coordinate information is available on the mobile electronic device for the observed beacon transmissions;

if location coordinate information is available on the mobile electronic device, recording a location of the mobile electronic device according to the location coordinate information without requesting location from the OS and maintaining a private location trajectory; and

if location coordinate information is not available on the mobile electronic device;

obtaining location coordinate information for the observed beacon transmissions from one or more other sources; and

after one or more times of obtaining location information location coordinate information for the observed beacon transmissions from one or more other sources, storing the location information location coordinate information obtained from the one or more other sources for the observed beacon transmissions in the database stored locally on the mobile electronic device.

31. The method of claim 30, comprising obtaining location coordinate information for the observed beacon transmissions from one or more other sources multiple times, and storing the location coordinate information obtained from the one or more other source for the observed beacon transmissions in the database stored locally on the mobile electronic device, but using a location associated with the location coordinate information only if the location coordinate information for the observed beacon transmissions obtained from one or more other sources multiple times is in agreement.