Adaptation of context models

Patent metadata

Field	Value
Publication number	US-9443202-B2
Application number	US-201013814135-A
Country	US
Kind code	B2
Filing date	Jul 1, 2010
Priority date	Jul 1, 2010
Publication date	Sep 13, 2016
Grant date	Sep 13, 2016

Abstract

There is disclosed a method including receiving sensor data extracted from one or more physical sensors, using the extracted sensor data and a context model to perform a first level context determination, and examining the at least one condition. If the examining indicated that the at least one condition was fulfilled, the context model is adapted on the basis of the sensor data, otherwise adaptation data formed on the basis of the sensor data is provided to a second level context determination. A corresponding apparatus and computer program product are also provided.

First claim

The invention claimed is:

1. A method comprising:
receiving sensor data extracted from one or more physical sensors;
using the extracted sensor data and a context model to perform a first level context determination;
examining, with a processor, at least one condition;
if the examining indicated that the at least one condition was fulfilled, adapting the context model on the basis of the sensor data without performance of another level of context determination, otherwise providing adaptation data formed on the basis of the sensor data to a second level context determination and using a combination of the extracted sensor data and virtual sensor data from virtual sensors configured to measure non-physical parameters to perform the second level context determination; and
in an instance that the at least one condition of the first level context determination and at least one condition of the second level context determination are fulfilled, adapting a same context model.

2. The method according to claim 1 , wherein said at least one condition comprises at least one of
reliability of the context determination;
availability of further sensor data from another level to help context determination; or
an available power budget defining limitations to proceeding to said second level context determination or to a higher level context determination.

3. The method according to claim 1 , wherein said first level context determination comprises:
receiving virtual sensor data from one or more virtual sensors at said first level; and
combining the virtual sensor data with the extracted sensor data to be used in said first level context determination.

4. The method according to claim 1 , wherein said second level context determination comprises:
examining at least one condition of the second level context determination; and
if the examining indicated that the at least one condition of the second level context determination was fulfilled, adapting the context model, otherwise providing adaptation data formed on the basis of the sensor data and virtual sensor data to a third level context determination.

5. The method according to claim 4 , wherein said at least one condition of the second level context determination comprises at least one of
reliability of the context determination;
availability of further sensor data from another level to help context determination; or
an available power budget defining limitations to proceeding to said third level context determination or to a higher level context determination.

6. The method according to claim 4 , wherein said third level context determination comprises:
examining at least one condition of the third level context determination; and
if the examining indicated that the at least one condition of the third level context determination was fulfilled, adapting the context model, otherwise providing adaptation data formed on the basis of the sensor data and the virtual sensor data to a fourth level context determination.

7. The method according to claim 6 , wherein said at least one condition of the third level context determination comprises at least one of
reliability of the context determination;
availability of further sensor data from another level to help context determination; or
an available power budget defining limitations to proceeding to said fourth level context determination or to a higher level context determination.

8. An apparatus comprising:
at least one processor;
and at least one memory including computer program code,
the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to
receive sensor data extracted from one or more physical sensors;
use the extracted sensor data and a context model to perform a first level context determination; and
examine at least one condition;

wherein the at least one memory and the computer program code are further configured to adapt the context model on the basis of the sensor data without performance of another level of context determination if the examining indicated that the at least one condition was fulfilled, otherwise to provide adaptation data formed on the basis of the sensor data to a second level context determination and using a combination of the extracted sensor data and virtual sensor data from virtual sensors configured to measure non-physical parameters to perform the second level context determination; and in an instance that the at least one condition of the first level context determination and at least one condition of the second level context determination are fulfilled, adapt a same context model.

9. The apparatus according to claim 8 , wherein said at least one condition comprises at least one of
reliability of the context determination;
availability of further sensor data from another level to help context determination; or
an available power budget defining limitations to proceeding to said second level context determination or to a higher level context determination.

10. The apparatus according to claim 8 , wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to:
receive virtual sensor data from one or more virtual sensors at said first level; and
combine the virtual sensor data with the extracted sensor data to be used in said first level context determination.

11. The apparatus according to claim 8 , wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to:
examine at least one condition of the second level context determination, and
adapt the context model if the examining indicated that the at least one condition of the second level context determination was fulfilled, otherwise to provide adaptation data formed on the basis of the sensor data and virtual sensor data to a third level context determination.

12. The apparatus according to claim 11 , wherein said at least one condition of the second level context determination comprises at least one of
reliability of the context determination;
availability of further sensor data from another level to help context determination; or
an available power budget defining limitations to proceeding to said third level context determination or to a higher level context determination.

13. The apparatus according to claim 11 , wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to:
examine at least one condition of the third level context determination; and
adapt the context model if the examining indicated that the at least one condition of the third level context determination was fulfilled, otherwise to provide adaptation data formed on the basis of the sensor data and the virtual sensor data to a fourth level context determination.

14. The apparatus according to claim 13 , wherein said at least one condition of the third level context determination comprises at least one of
reliability of the context determination;
availability of further sensor data from another level to help context determination; or
an available power budget defining limitations to proceeding to said fourth level context determination or to a higher level context determination.

15. A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code portions stored therein, the computer-executable progr

Assignees

• Leppanen Jussi
• Andiappan Rajasekaran
• Eronen Antti
• Nokia Technologies Oy

Inventors

• Leppanen Jussi
• Andiappan Rajasekaran
• Eronen Antti

Classifications

• G06F18/253

  of extracted features · CPC title

• H04L67/12

  specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title

• H04W4/006

  Electricity · mapped topic

• H04W4/025

  using location based information parameters · CPC title

• G06N99/005 Primary

  Physics · mapped topic