LOCATION-BASED SERVICES FOR CALENDAR EVENTS

• US 20150350842A1
• Filed: 09/30/2014
• Published: 12/03/2015
• Est. Priority Date: 05/30/2014
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Huang, Ronald K., Cao, Lili, Marti, Lukas M., Dal Santo, Michael P.
• Granted Patent: US 9,843,895 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 9/54 Interprogram communication
• CPC Class Codes: G06Q 10/1095 Meeting or appointment
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/55 Push-based network services
• CPC Class Codes: H04M 1/72451 according to schedules, e.g. using calendar applications
• CPC Class Codes: H04M 1/72457 according to geographic location
• 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 4/024 Guidance services
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/30 Services specially adapted for particular environments, situations or purposes

Abstract

Systems, methods, and program products for determining a location of a calendar item are described. A mobile device can receive a calendar item including a description and a time. The mobile device can determine that, at the time specified in the calendar item, the mobile device is located at a location that is estimated to be significant to a user. The mobile device can store the description in association with the significant location. Upon receive a new calendar item containing at least one term in the description, the mobile device can predict that the user will visit the significant location at the time specified in the new calendar item. The mobile device can provide user assistance based on the prediction.

Claims

1. A method comprising:

receiving, by a mobile device and from a calendar management application program, a record of a calendar item, the record including a text string describing an event of the calendar item and a time specification of the event;

determining a geographic overlap between a significant location and the calendar item, including determining that, at a time designated in the time specification, the mobile device dwells at the significant location, the significant location including a location that is estimated to have a significant meaning to the user of the mobile device and being determined using a cluster of locations of the mobile device as detected from historical data;

in response to determining the geographic overlap, associating the text string with the significant location; and

providing a location-based service that corresponds to the significant location for a second calendar item of the calendar management application program ahead of a time designated in a time specification of the second calendar item and upon determining that the second calendar item includes at least one term in the text string.

2. The method of claim 1, wherein the text string includes a subject line of the calendar item or a text body of the calendar item.

3. The method of claim 1, wherein determining that the mobile device dwells at the significant location comprises:

determining that the mobile device is located in a location cluster for at least a threshold amount of time, the location cluster comprising detected locations of the mobile device filtered by a statistical filter; and

in response, determining the significant location based on the location cluster.

4. The method of claim 1, wherein associating the text string with the significant location comprises associating the text string with the significant location in the calendar application program.

5. The method of claim 1, wherein the location-based service comprises:

determining that the calendar item is outside of a set of locations associated with a daily routine of the user, the daily routine comprising a respective set of likelihood values that the user is located at each of the locations at various times of a day; and

switching a predictive user assistance model from one that is based on the daily routine to one that is based on the significant location.

6. The method of claim 1, wherein the location-based service comprises:

determining that the user will visit the second location at the time designated in a time specification of the second calendar item; and

in response, providing an alert to the user before the user visits the second location.

7. The method of claim 6, wherein providing the alert comprises:

determining, based on readings of a sensor of the mobile device, a mode of transport of the mobile device;

determining a travel time corresponding to the mode of transport; and

providing the alert that corresponds to the travel time.

8. The method of claim 7, comprising:

receiving motion classifiers; and

reclassifying the classifiers using the mode of transport as context information, the context information usable to filter out one or more motion classifiers that misclassifies a motion.

9. The method of claim 1, wherein providing the location-based service occurs at a time that is determined using the time designated in the time specification of the second calendar item minus an estimated travel time from a current location to the significant location.

10. A non-transitory computer-readable medium storing instructions that, upon execution by a mobile device, cause the mobile device to perform operations comprising:

receiving from a calendar management application program, a record of a calendar item, the record including a text string describing an event of the calendar item and a time specification of the event;

determining a geographic overlap between a significant location and the calendar item, including determining that, at a time designated in the time specification, the mobile device dwells at the significant location, the significant location including a location that is estimated to have a significant meaning to the user of the mobile device and being determined using a cluster of locations of the mobile device as detected from historical data;

in response to determining the geographic overlap, associating the text string with the significant location; and

providing a location-based service that corresponds to the significant location for a second calendar item of the calendar management application program ahead of a time designated in a time specification of the second calendar item and upon determining that the second calendar item includes at least one term in the text string.

11. The non-transitory computer-readable medium of claim 10, wherein the text string includes a subject line of the calendar item or a text body of the calendar item.

12. The non-transitory computer-readable medium of claim 10, wherein determining that the mobile device dwells at the significant location comprises:

determining that the mobile device is located in a location cluster for at least a threshold amount of time, the location cluster comprising detected locations of the mobile device filtered by a statistical filter; and

in response, determining the significant location based on the location cluster.

13. The non-transitory computer-readable medium of claim 10, wherein associating the text string with the significant location comprises associating the text string with the significant location in the calendar application program.

14. The non-transitory computer-readable medium of claim 10, wherein the location-based service comprises:

determining that the calendar item is outside of a set of locations associated with a daily routine of the user, the daily routine comprising a respective set of likelihood values that the user is located at each of the locations at various times of a day; and

switching a predictive user assistance model from one that is based on the daily routine to one that is based on the significant location.

15. The non-transitory computer-readable medium of claim 10, wherein the location based-service comprises:

determining that the user will visit the second location at the time designated in a time specification of the second calendar item; and

in response, providing an alert to the user before the user visits the second location.

16. The non-transitory computer-readable medium of claim 15, wherein providing the alert comprises:

determining, based on readings of a sensor of the mobile device, a mode of transport of the mobile device;

determining a travel time corresponding to the mode of transport; and

providing the alert that corresponds to the travel time.

17. The non-transitory computer-readable medium of claim 16, the operations comprising:

receiving motion classifiers; and

reclassifying the classifiers using the mode of transport as context information, the context information usable to filter out one or more motion classifiers that misclassifies a motion.

18. The non-transitory computer-readable medium of claim 10, wherein providing the location-based service occurs at a time that is determined using the time designated in the time specification of the second calendar item minus an estimated travel time from a current location to the significant location.

19. A mobile device, comprising:

one or more processors; and

a non-transitory computer-readable medium storing instructions that, upon execution by one or more computer processors, cause the one or more computer processors to perform operations comprising;

receiving, from a calendar management application program, a record of a calendar item, the record including a text string describing an event of the calendar item and a time specification of the event;

determining a geographic overlap between a significant location and the calendar item, including determining that, at a time designated in the time specification, the mobile device dwells at the significant location, the significant location including a location that is estimated to have a significant meaning to the user of the mobile device and being determined using a cluster of locations of the mobile device as detected from historical data;

in response to determining the geographic overlap, associating the text string with the significant location; and

providing a location-based service that corresponds to the significant location for a second calendar item of the calendar management application program ahead of a time designated in a time specification of the second calendar item and upon determining that the second calendar item includes at least one term in the text string.

20. The mobile device of claim 19, wherein the text string includes a subject line of the calendar item or a text body of the calendar item.

21. The mobile device of claim 19, wherein determining that the mobile device dwells at the significant location comprises:

determining that the mobile device is located in a location cluster for at least a threshold amount of time, the location cluster comprising detected locations of the mobile device filtered by a statistical filter; and

in response, determining the significant location based on the location cluster.

22. The mobile device of claim 19, wherein associating the text string with the significant location comprises associating the text string with the significant location in the calendar application program.

23. The mobile device of claim 19, wherein the location-based service comprises:

determining that the calendar item is outside of a set of locations associated with a daily routine of the user, the daily routine comprising a respective set of likelihood values that the user is located at each of the locations at various times of a day; and

switching a predictive user assistance model from one that is based on the daily routine to one that is based on the significant location.

24. The mobile device of claim 19, wherein the location-based service comprises:

determining that the user will visit the second location at the time designated in a time specification of the second calendar item; and

in response, providing an alert to the user before the user visits the second location.

25. The mobile device of claim 24, wherein providing the alert comprises:

determining, based on readings of a sensor of the mobile device, a mode of transport of the mobile device;

determining a travel time corresponding to the mode of transport; and

providing the alert that corresponds to the travel time.

26. The mobile device of claim 25, the operations comprising:

receiving motion classifiers; and

reclassifying the classifiers using the mode of transport as context information, the context information usable to filter out one or more motion classifiers that misclassifies a motion.

27. The mobile device of claim 19, wherein providing the location-based service occurs at a time that is determined using the time designated in the time specification of the second calendar item minus an estimated travel time from a current location to the significant location.