Method and apparatus for context sensing inference

Patent metadata

Field	Value
Publication number	US-10853531-B2
Application number	US-201114353601-A
Country	US
Kind code	B2
Filing date	Nov 2, 2011
Priority date	Nov 2, 2011
Publication date	Dec 1, 2020
Grant date	Dec 1, 2020

Abstract

The exemplary embodiments of the invention provide at least a method, apparatus and system to perform operations including receiving context data from an electronic device, causing, at least in part based on the received context data, an identification of at least one context model compatible with the electronic device, and causing, at least in part, provision of the electronic device with the at least one compatible context model. In addition, the exemplary embodiments of the invention further provide at least a method, apparatus and system to perform operations including causing, at least in part, a provision of context data associated with an electronic device to a context inference service, in response, receiving a context model from the context inference service, and causing adaptation of the received context model as a current context model of the electronic device.

First claim

What is claimed is:

1. A method comprising:
sending, by a user equipment to a context inference service, a request for a second context model, the request including information on a first context model of the user equipment, wherein the request is sent in response to a determination by the user equipment that an observed context information is outside a predefined degree of accuracy for the user equipment, the observed context information comprising context information obtained from at least one sensor of the user equipment;
receiving, by the user equipment and in response to sending the request, the second context model from the context inference service, the second context model based at least partially on one or more context models that are compatible with the user equipment based on similarities between the first context model and the one or more context models, and wherein the second context model is validated to meet operating requirements of the user equipment; and
adapting, by the user equipment, the received second context model as a current context model of the user equipment.

2. The method of claim 1 , further comprising:
uploading, by the user equipment to the context inference service, the current context model in response to a determination that the user equipment meets a predetermined performance threshold.

3. The method of claim 1 , further comprising:
enabling, to one or more applications running on the user equipment, access to the current context model to perform functions based on a user context defined in the current context model.

4. The method of claim 1 , wherein the adapting of the received second context model is based on instructions received by the user equipment from the context inference service.

5. The method of claim 1 , wherein the sending of the request including the first context model is in response to the user equipment being newly associated with a network service.

6. An apparatus comprising,
at least one processor; and
at least one memory including computer program code, where the at least one memory and the computer program code are configured, with the at least one processor, to cause the apparatus to at least:
send, to a context inference service, a request for a second context model, the request including information on a first context model of the apparatus, wherein the request is sent in response to a determination by the apparatus that an observed context information is outside a predefined degree of accuracy for the apparatus, the observed context information comprising context information obtained from at least one sensor of the apparatus;
in response to sending the request, receive the second context model from the context inference service, the second context model based at least partially on one or more context models that are compatible with the apparatus based on similarities between the first context model and the one or more context models, and wherein the second context model is validated to meet operating requirements of the apparatus; and
adapt the received second context model as a current context model of the apparatus.

7. The apparatus of claim 6 , wherein the apparatus is further caused to at least:
upload, to the context inference service, the current context model in response to a determination that the apparatus meets a predetermined performance threshold.

8. The apparatus of claim of claim 6 , wherein the apparatus is further caused to at least:
enable, to one or more applications running on the apparatus, access to the current context model to perform functions based on a user context defined in the current context model.

9. The apparatus of claim 6 , wherein the adaptation of the received second context model is based on instructions received by the apparatus from the context inference service.

10. The apparatus of claim 6 , wherein the request with the first context model is sent in response to the apparatus being newly associated with a network service.

11. The apparatus of claim 6 , wherein the adapting of the received second context model comprises utilizing context data associated with one or more sensors of the apparatus, the context data comprising active context data from one or more active sensors and invoked context data from one or more invoked sensors, the invoked context data comprising observed context data captured within a predefined period of time.

12. The apparatus of claim 6 , wherein the one or more of the plurality of context models are adapted for the second context model to effect a change in behavior of the apparatus.

13. A non-transitory computer readable storage medium including program code which when executed by at least one processor causes operations comprising:
sending, to a context inference service, a request for a second context model, the request including information on a first context model of an apparatus, wherein the request is sent in response to a determination by the apparatus that an observed context information is outside a predefined degree of accuracy for the apparatus, the observed context information comprising context information obtained from at least one sensor of the apparatus;
in response to sending the request, receiving the second context model from the context inference service, the second context model based at least partially on one or more context models that are compatible with the apparatus based on similarities between the first context model and the one or more context models, and wherein the second context model is validated to meet operating requirements of the apparatus; and
adapting the received second context model as a current context model of the apparatus.

14. The non-transitory computer-readable storage medium of claim 13 , wherein the program code further causes operations comprising:
uploading, to the context inference service, the current context model in response to a determination that the apparatus meets a predetermined performance threshold.

15. The non-transitory computer-readable storage medium of claim 13 , wherein the program code further causes operations comprising:
enabling, to one or more applications running on the apparatus, access to the current context model to perform functions based on a user context defined in the current context model.

16. The non-transitory computer-readable storage medium of claim 13 , wherein the adapting of the received second context model is based on instructions received by the apparatus from the context inference service.

17. The non-transitory computer-readable storage medium of claim 13 , wherein the sending of the request with the first context model is in response to the apparatus being newly associated with a network service.

Assignees

• Li Xueying
• Cao Huanhuan
• Tian Jilei
• Nokia Technologies Oy

Inventors

• Li Xueying
• Cao Huanhuan
• Tian Jilei

Classifications

• G06F30/20 Primary

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

• H04M1/72454

  according to context-related or environment-related conditions · CPC title

• H04W4/029

  Location-based management or tracking services · CPC title

• H04L67/34

  involving the movement of software or configuration parameters  (network booting or remote initial program loading [RIPL] G06F9/4416) · CPC title

• G06F16/9535

  Search customisation based on user profiles and personalisation · CPC title