Proactive actions on mobile device using uniquely-identifiable and unlabeled locations

• US 10,200,810 B2
• Filed: 09/21/2016
• Issued: 02/05/2019
• Est. Priority Date: 06/12/2016
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Ledvina, Brent M., Mayor, Robert W., Marti, Lukas M., Stites, David R., Bhatti, Jahshan A., Duffy, Kevin
• Primary Examiner(s): Sivji, Nizar N
• Application Number:
  US15/272,391
• Publication Number:
  US 20170359679A1
• Time in Patent Office: 867 Days
• CPC Class Codes: G01S 5/02521 using a radio-map
• CPC Class Codes: G06N 5/025 Extracting rules from data
• CPC Class Codes: H04B 17/318 Received signal strength
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/02 Services making use of location information
• 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
• CPC Class Codes: H04W 4/20 Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
• CPC Class Codes: H04W 4/33 for indoor environments, e.g. buildings
• CPC Class Codes: H04W 4/50 Service provisioning or reconfiguring
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

A method for identifying a suggested application on a mobile device is disclosed. The method includes detecting an event, determining a first location of the mobile device, identifying that the first location is within a first location region of a plurality of predetermined location regions, and then measuring one or more sensor values at one or more times. The measured sensor values may then be used to create a first-data point. In response to identifying the first location region, a plurality of clusters of data points may be retrieved. A first cluster of the plurality of clusters corresponding to the first data point may then be identified. The method may further include identifying a set of one or more applications, and then providing a message to the user based on the identified set of one or more applications.

Claims

1. A method for identifying a suggested application executing on a mobile device, the method being performing by the mobile device and comprising:

detecting an event at an input device of the mobile device;

determining a first location of the mobile device using location circuitry;

identifying that the first location is within a first location region of a plurality of predetermined location regions, wherein the mobile device stores information defining the plurality of predetermining location regions;

measuring one or more sensor values at one or more times, the one or more sensor values measured using one or more sensors of the mobile device, wherein the one or more sensor values are determined from one or more signals emitted by corresponding one or more signal sources;

creating a first data point from the one or more sensor values, each of the one or more sensor values corresponding to a respective dimension of the first data point;

retrieving a plurality of clusters of data points corresponding to the first location region, wherein the data points of the plurality of clusters of data points correspond to previous measurements using the one or more sensors, and wherein each cluster in the plurality of clusters of data points corresponds to a discrete location within the first location region;

identifying a first cluster of the plurality of clusters of data points corresponding to the first data point;

identifying a set of one or more applications that have at least a threshold probability of being accessed by a user when the event occurs in association with the first cluster, the set of one or more applications being determined from a set of one or more evaluation rules that are generated based on historical interactions of the user with the mobile device; and

providing a message including or using at least one of the set of one or more applications.

2. The method of claim 1, wherein the first data point is a multi-dimensional data point.

3. The method of claim 1, wherein the message is provided by providing a user interface to the user for interacting with the set of one or more applications.

4. The method of claim 1, wherein detecting the event at the input device of the mobile device comprises:

detecting a turning on of a backlight of the mobile device.

5. The method of claim 1, wherein determining the first location of the mobile device using the location circuitry comprises:

measuring coordinates of latitude and longitude of the mobile device.

6. The method of claim 5, wherein identifying that the first location is within the first location region of a plurality of predetermining location regions comprises:

comparing the coordinates of latitude and longitude of the mobile device with a list of predetermined location regions that includes the first location region; and

determining that the coordinates of latitude and longitude lie within the first location region.

7. The method of claim 1, further comprising:

determining an identifier of the first cluster;

retrieving the set of one or more evaluation rules from a plurality of set of evaluations rules using the identifier of the first cluster, wherein each set of evaluation rules corresponds to a different cluster,

wherein each of the set of one or more evaluation rules includes a list of one or more applications and a corresponding probability determined from a prediction model generated based on the historical interactions of the user with the mobile device.

8. The method of claim 7, further comprising:

receiving contextual information corresponding to a time when the event is detected; and

selecting a subset of the set of one or more evaluation rules based on the contextual information.

9. The method of claim 7, wherein the one or more sensor values are signal properties of an emitted signal that changes with respect to a distance between the mobile device and the one or more signal sources.

10. The method of claim 9, wherein the one or more sensor values include at least one of received signal strength indicator (RSSI) and time-of-flight (TOF).

11. The method of claim 7, wherein the one or more signal sources are one or more network devices.

12. The method of claim 1, wherein the message is an alert or a notification that provides information pertaining to the set of one or more applications.

13. The method of claim 1, wherein the set of one or more applications are identified by applying the first cluster to a set of evaluation rules.

14. The method of claim 13, further comprising:

using a learning expert module for generating the set of evaluation rules; and

deleting the learning expert module after the learning expert module has generated the set of evaluation rules.

15. The method of claim 14, wherein the learning expert module comprises a plurality of prediction models, each prediction model configured to identify an application for a specific triggering event.

16. A computer product comprising a non-transitory computer readable medium storing a plurality of instructions that when executed control a mobile device including one or more processors, the instructions comprising:

detecting an event at an input device of the mobile device;

determining a first location of the mobile device using location circuitry;

identifying that the first location is within a first location region of a plurality of predetermining location regions, wherein the mobile device stores information defining the plurality of predetermining location regions;

measuring one or more sensor values at one or more times, the one or more sensor values measured using one or more sensors of the mobile device;

creating a first data point from the one or more sensor values, each of the one or more sensor values corresponding to a respective dimension of the first data point;

in response to identifying the first location region, retrieving a plurality of clusters of data points, wherein the data points of the plurality of clusters of data points correspond to previous measurements using the one or more sensors, and wherein each cluster in the plurality of clusters of data points corresponds to a discrete location within the first location region;

identifying a first cluster of the plurality of clusters of data points corresponding to the first data point;

identifying a set of one or more applications that have at least a threshold probability of being accessed by a user when the event occurs in association with the first cluster, the set of one or more applications being determined from a first prediction model that uses historical interactions of the user with the mobile device; and

providing a message including or using at least one of the set of one or more applications.

17. The computer product of claim 16, further comprising providing a user interface to the user for interacting with the set of one or more applications.

18. mobile device comprising:

a database for storing data points;

one or more input devices; and

one or more processors configured to;

detect an event at one of the one or more input devices of the mobile device;

determine a first location of the mobile device using location circuitry;

identify that the first location is within a first location region of a plurality of predetermining location regions, wherein the mobile device stores information defining the plurality of predetermining location regions;

measure one or more sensor values at one or more times, the one or more sensor values measured using one or more sensors of the mobile device;

create a first data point from the one or more sensor values, each of the one or more sensor values corresponding to a respective dimension of the first data point;

in response to identifying the first location region, retrieve a plurality of clusters of data points, wherein the data points of the plurality of clusters of data points correspond to previous measurements using the one or more sensors, and wherein each cluster in the plurality of clusters of data points corresponds to a discrete location within the first location region;

identify a first cluster of the plurality of clusters of data points corresponding to the first data point;

identify a set of one or more applications that have at least a threshold probability of being accessed by a user when the event occurs in association with the first cluster, the set of one or more applications being determined from a first prediction model that uses historical interactions of the user with the mobile device; and

provide a message including or using at least one of the set of one or more applications.

19. The mobile device of claim 18, wherein the set of one or more applications are identified by comparing the first data point with a set of evaluation rules.

20. The mobile device of claim 19, further comprising a learning expert module for generating the set of evaluation rules, wherein the one or more processors are further configured to delete the learning expert module after the learning expert module has generated the set of evaluation rules.