Method and apparatus for determining user context

• US 10,277,479 B2
• Filed: 05/11/2010
• Issued: 04/30/2019
• Est. Priority Date: 05/11/2010
• Status: Active Grant

• Current Assignee: Nokia Technologies Oy (Nokia Corporation)
• Original Assignee: Nokia Technologies Oy (Nokia Corporation)
• Inventors: Olsen, Jesper, Cao, Happia, Tian, Jilei
• Primary Examiner(s): Coulter, Kenneth R
• Application Number:
  US13/696,930
• Publication Number:
  US 20130132566A1
• Time in Patent Office: 3,276 Days
• Field of Search: 709224, 709223, 709226, 709229
• CPC Class Codes: H04L 43/00 Arrangements for monitoring or testing data switching networks
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/025 using location based information parameters

Abstract

An approach is provided for training a device to associate user, object or device context information with a user defined context. The context information platform receives recorded context information from a device. The associated recorded context information is then associated with the context to enable training of a context model associated with the context.

Claims

1. A method comprising:

receiving, by a processor, a user input at a device for specifying a context;

causing, by one or more sensors, recording of context information associated with the device, the user of the device, or a combination thereof, wherein the recorded context information includes sensory information of the device and user interaction information with one or more services associated with the device;

updating, by the processor, a context information training database with the recorded context information;

associating, by the processor, the recorded context information with the context;

causing, at least in part, monitoring of unlabeled context information associated with the device, the user of the device, or a combination thereof;

comparing the unlabeled context information against the recorded context information;

causing, at least in part, recognition of the context associated with the unlabeled context information based, at least in part, on the comparison;

generating a context model based, at least in part, on the recorded context information;

generating a behavior model, independent of the context model, based at least in part, on the recorded context information,

wherein the associating of the recorded context information with the context comprises at least in part associating the context model with the context, and

wherein the recognition of the context in the unlabeled context information is based, at least in part, on the context model.

2. A method of claim 1,

wherein the context model is configured to transmit the context information to a platform, and the behavior model is configured not to transmit the context information to the platform.

3. A method of claim 2, further comprising:

updating the context model based, at least in part, on the recognition of the context.

4. A method of claim 1, further comprising:

receiving another input for defining one or more rules with respect to the context; and

triggering one or more of the rules based, at least in part, on the recognition of the context.

5. A method of claim 4, wherein the one or more rules specify an action, function, routine, or a combination thereof.

6. A method of claim 1, further comprising:

causing, at least in part, control of one or more applications based, at least in part, on the recognition of the context.

7. A method of claim 1, wherein the context relates to an activity, a location, a time and a date.

8. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following;

receive, by the processor, a user input at a device for specifying a context;

cause, by one or more sensors, recording of context information associated with the device, the user of the device, or a combination thereof, wherein the recorded context information includes sensory information of the device and user interaction information with one or more services associated with the device;

update, by the processor, a context information training database with the recorded context information;

associate, by the processor, the recorded context information with the context;

cause, at least in part, monitoring of unlabeled context information associated with the device, the user of the device, or a combination thereof;

compare the unlabeled context information against the recorded context information;

causing, at least in part, recognition of the context associated with the unlabeled context information based, at least in part, on the comparison;

generate a context model based, at least in part, on the recorded context information; and

generate a behavior model, independent of the context model, based, at least in part, on the recorded context information,

wherein the associating of the recorded context information with the context comprises at least in part associating the context model with the context, and

wherein the recognition of the context in the unlabeled context information is based, at least in part, on the context model.

9. An apparatus of claim 8,

wherein the context model is configured to transmit the context information to a platform, and the behavior model is configured to not transmit the context information to the platform.

10. An apparatus of claim 9, wherein the apparatus is further caused to:

update the context model based, at least in part, on the recognition of the context.

11. An apparatus of claim 8, wherein the apparatus is further caused to:

receive another input for defining one or more rules with respect to the context; and

trigger one or more of the rules based, at least in part, on the recognition of the context.

12. An apparatus of claim 11, wherein the one or more rules specify an action, function, routine, or a combination thereof.

13. An apparatus of claim 8, wherein the apparatus is further caused to:

cause, at least in part, control of one or more applications based, at least in part, on the recognition of the context.

14. An apparatus of claim 8, wherein the context relates to an activity, a location, a time and a date.

15. A non-transitory computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps:

receiving, by the one or more processors, a user input at a device for specifying a context;

causing, by one or more sensors, recording of context information associated with the device, the user of the device, or a combination thereof, wherein the recorded context information includes sensory information of the device and user interaction information with one or more services associated with the device;

updating, by the one or more processors, a context information training database with the recorded context information;

associating, by the one or more processors, the recorded context information with the context;

causing, at least in part, monitoring of unlabeled context information associated with the device, the user of the device, or a combination thereof;

comparing the unlabeled context information against the recorded context information;

causing, at least in part, recognition of the context associated with the unlabeled context information based, at least in part, on the comparison;

generating a context model based at least in part, on the recorded context information; and

generating a behavior model, independent of the context model, based at least in part, on the recorded context information.

16. A non-transitory computer-readable storage medium of claim 15,

wherein the context model is configured to transmit the context information to a platform, and the behavior model is configured not to transmit the context information to the platform.

17. A non-transitory computer-readable storage medium of claim 15, wherein the apparatus is caused to further perform:

updating the context model based, at least in part, on the recognition of the context.

18. A non-transitory computer-readable storage medium of claim 15, wherein the apparatus is caused to further perform:

receiving another input for defining one or more rules with respect to the context; and

triggering one or more of the rules based, at least in part, on the recognition of the context.