Personal Geofence

• US 20150237470A1
• Filed: 02/14/2014
• Published: 08/20/2015
• Est. Priority Date: 02/14/2014
• Status: Abandoned Application

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Mayor, Robert, Marti, Lukas M., Ma, Shannon M.
• Application Number:
  US14/180,731
• Publication Number:
  US 20150237470A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3617 using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Systems, methods and computer program products for providing location-based services triggered by a personal geofence are disclosed. A mobile device can determine that a venue located at a geographic location and frequently visited by the mobile device in the past is associated with a particular item, service, or activity. Upon receiving a query about the item, service, or activity, the mobile device can create a temporary geofence around the venue. Using past behavior patterns and a current location, the mobile device can determine a condition to trigger execution of an application program or display of certain content. The condition can be personalized to match a life style of a user of the mobile device. Accordingly, trigging the execution of the application program or the display of the content may be based on factors other than a distance between the mobile device and a point location.

Claims

1. A method comprising:

determining, by one or more processors, that a venue previously visited by a mobile device is a significant location for a user of the mobile device;

receiving, by the one or more processors, a request for performing a task, the request including a query term that specifies a parameter of the task;

determining, based on a match between the query term and a pre-determined attribute of the venue, that the task is related to the venue;

predicting, by the one or more processors and based on a past usage pattern of the mobile device, that the mobile device will be located proximate to the venue; and

before the mobile device reaches a decision location, performing the task by the one or more processors, wherein the decision location is a location for the user to make a choice between continuing on a current travel path or making a detour for visiting the venue.

2. The method of claim 1, wherein determining that the venue is a significant location comprises at least one of:

determining that the user previously visited the venue at a frequency that is higher than a threshold frequency;

determining that the user previously stayed at the venue for more than a threshold amount of time;

or

determining that the user previously purchased an item or a service at the venue.

3. The method of claim 1, wherein:

the request is a natural language speech input, and

the task includes providing a reminder for performing an activity related to the query term.

4. The method of claim 1, wherein predicting that the mobile device will be located proximate to the venue comprises:

monitoring a geographic or temporal distance between the mobile device and the venue according to a location sampling plan, the location sampling plan being determined based on a current location of the mobile device, a current motion reading of the mobile device, and the past usage pattern; and

determining that the mobile device will be located at the venue after a pre-specified lead time.

5. The method of claim 4, comprising determining the location sampling plan, wherein determining the location sample plan comprises:

determining, based on a travel velocity of the mobile device and the geographic distance between the mobile device and the venue, that a first location determination mechanism of the mobile device may have insufficient time to trigger performance of the task; and

in response, monitoring the geographic distance or temporal distance using a second location determination mechanism.

6. The method of claim 5, wherein the first location determination mechanism determines the current location of the mobile device using signals from one or more wireless local area network (WLAN), and the second location determination mechanism determines the current location of the mobile device using signals from a satellite positioning system.

7. The method of claim 1, wherein the past usage pattern comprises location information and transit information, the location information including a geographic location and a probability that the mobile device is located at the geographic location at a given time, the transit information including a probability that the mobile device transits from a first geographic location to a second geographic location at given time.

8. The method of claim 7, wherein predicting that the mobile device will be located proximate to the venue comprises:

determining, based on the transit information and a current location of the mobile device, that a probability that the mobile device is transiting from the first geographic location to the second geographic location exceeds a threshold value;

determining that, in the past, the mobile device visited the venue during a transit from the first geographic location to the second geographic location; and

predicting that the mobile device will be located proximate to the venue based on the current location and a heading of the mobile device.

9. The method of claim 7, wherein predicting that the mobile device will be located proximate to the venue occurs before the mobile device enters a stationary geofence of the venue.

10. A non-transitory computer-readable medium storing instructions operable to cause one or more processors to perform operations comprising:

determining, by one or more processors, that a venue previously visited by a mobile device is a significant location for a user of the mobile device;

receiving, by the one or more processors, a request for performing a task, the request including a query term that specifies a parameter of the task;

determining, based on a match between the query term and a pre-determined attribute of the venue, that the task is related to the venue;

predicting, by the one or more processors and based on a past usage pattern of the mobile device, that the mobile device will be located proximate to the venue; and

before the mobile device reaches a decision location, performing the task by the one or more processors, wherein the decision location is a location for the user to make a choice between continuing on a current travel path or making a detour for visiting the venue.

11. The non-transitory computer-readable medium of claim 10, wherein determining that the venue is a significant location comprises at least one of:

determining that the user previously visited the venue at a frequency that is higher than a threshold frequency;

determining that the user previously stayed at the venue for more than a threshold amount of time;

or

determining that the user previously purchased an item or a service at the venue.

12. The non-transitory computer-readable medium of claim 10, wherein:

the request is a natural language speech input, and

the task includes providing a reminder for performing an activity related to the query term.

13. The non-transitory computer-readable medium of claim 10, wherein predicting that the mobile device will be located proximate to the venue comprises:

monitoring a geographic or temporal distance between the mobile device and the venue according to a location sampling plan, the location sampling plan being determined based on a current location of the mobile device, a current motion reading of the mobile device, and the past usage pattern; and

determining that the mobile device will be located at the venue after a pre-specified lead time.

14. The non-transitory computer-readable medium of claim 13, the operations comprising determining the location sampling plan, wherein determining the location sample plan comprises:

determining, based on a travel velocity of the mobile device and the geographic distance between the mobile device and the venue, that a first location determination mechanism of the mobile device may have insufficient time to trigger performance of the task; and

in response, monitoring the geographic distance or temporal distance using a second location determination mechanism.

15. The non-transitory computer-readable medium of claim 14, wherein the first location determination mechanism determines the current location of the mobile device using signals from one or more wireless local area network (WLAN), and the second location determination mechanism determines the current location of the mobile device using signals from a satellite positioning system.

16. The non-transitory computer-readable medium of claim 10, wherein the past usage pattern comprises location information and transit information, the location information including a geographic location and a probability that the mobile device is located at the geographic location at a given time, the transit information including a probability that the mobile device transits from a first geographic location to a second geographic location at given time.

17. The non-transitory computer-readable medium of claim 16, wherein predicting that the mobile device will be located proximate to the venue comprises:

determining, based on the transit information and a current location of the mobile device, that a probability that the mobile device is transiting from the first geographic location to the second geographic location exceeds a threshold value;

determining that, in the past, the mobile device visited the venue during a transit from the first geographic location to the second geographic location; and

predicting that the mobile device will be located proximate to the venue based on the current location and a heading of the mobile device.

18. The non-transitory computer-readable medium of claim 16, wherein predicting that the mobile device will be located proximate to the venue occurs before the mobile device enters a stationary geofence of the venue.

19. A system comprising:

one or more processors; and

non-transitory computer-readable medium storing instructions operable to cause one or more processors to perform operations comprising;

determining, by one or more processors, that a venue previously visited by a mobile device is a significant location for a user of the mobile device;

receiving, by the one or more processors, a request for performing a task, the request including a query term that specifies a parameter of the task;

determining, based on a match between the query term and a pre-determined attribute of the venue, that the task is related to the venue;

predicting, by the one or more processors and based on a past usage pattern of the mobile device, that the mobile device will be located proximate to the venue; and

before the mobile device reaches a decision location, performing the task by the one or more processors, wherein the decision location is a location for the user to make a choice between continuing on a current travel path or making a detour for visiting the venue.

20. The system of claim 19, wherein determining that the venue is a significant location comprises at least one of:

determining that the user previously visited the venue at a frequency that is higher than a threshold frequency;

determining that the user previously stayed at the venue for more than a threshold amount of time;

or

determining that the user previously purchased an item or a service at the venue.

21. The system of claim 19, wherein:

the request is a natural language speech input, and

the task includes providing a reminder for performing an activity related to the query term.

22. The system of claim 19, wherein predicting that the mobile device will be located proximate to the venue comprises:

monitoring a geographic or temporal distance between the mobile device and the venue according to a location sampling plan, the location sampling plan being determined based on a current location of the mobile device, a current motion reading of the mobile device, and the past usage pattern; and

determining that the mobile device will be located at the venue after a pre-specified lead time.

23. The system of claim 22, the operations comprising determining the location sampling plan, wherein determining the location sample plan comprises:

determining, based on a travel velocity of the mobile device and the geographic distance between the mobile device and the venue, that a first location determination mechanism of the mobile device may have insufficient time to trigger performance of the task; and

in response, monitoring the geographic distance or temporal distance using a second location determination mechanism.

24. The system of claim 23, wherein the first location determination mechanism determines the current location of the mobile device using signals from one or more wireless local area network (WLAN), and the second location determination mechanism determines the current location of the mobile device using signals from a satellite positioning system.

25. The system of claim 19, wherein the past usage pattern comprises location information and transit information, the location information including a geographic location and a probability that the mobile device is located at the geographic location at a given time, the transit information including a probability that the mobile device transits from a first geographic location to a second geographic location at given time.

26. The system of claim 25, wherein predicting that the mobile device will be located proximate to the venue comprises:

determining, based on the transit information and a current location of the mobile device, that a probability that the mobile device is transiting from the first geographic location to the second geographic location exceeds a threshold value;

determining that, in the past, the mobile device visited the venue during a transit from the first geographic location to the second geographic location; and

predicting that the mobile device will be located proximate to the venue based on the current location and a heading of the mobile device.

27. The system of claim 25, wherein predicting that the mobile device will be located proximate to the venue occurs before the mobile device enters a stationary geofence of the venue.