METHODS AND APPARATUSES FOR CONTROLLING INVOCATION OF A SENSOR

• US 20130103348A1
• Filed: 06/30/2010
• Published: 04/25/2013
• Est. Priority Date: 06/30/2010
• Status: Abandoned Application

• Current Assignee: Nokia Technologies Oy (Nokia Corporation)
• Original Assignee: Nokia Corporation
• Inventors: Tian, Jilei, Li, Xueying, Cao, Huanhuan
• Application Number:
  US13/807,725
• Publication Number:
  US 20130103348A1
• Time in Patent Office: Days
• US Class Current: 702/181
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04M 2250/12 including a sensor for measuring a physical value, e.g. temperature or motion telephones including GPS signal receivers H04M2250/10
• CPC Class Codes: H04W 4/025 using location based information parameters

Abstract

Methods and apparatuses are provided for controlling invocation of a sensor. A method may include accessing a context probability model generated based at least in part on historical context data. The method may further include using the context probability model to determine a probability that a context indicated by an output of a sensor will differ from a context indicated by a previous output of the sensor. The determination may be made based at least in part on observed context information. The method may additionally include controlling invocation of the sensor based at least in part on the determined probability. Corresponding apparatuses are also provided.

Claims

1. A method comprising:

accessing a context probability model generated based at least in part on historical context data;

using the context probability model to determine a probability that a context indicated by an output of a sensor will differ from a context indicated by a previous output of the sensor, the determination being made based at least in part on observed context information; and

controlling invocation of the sensor based at least in part on the determined probability.

2. The method according to claim 1, wherein controlling invocation of the sensor comprises:

determining a sampling rate for the sensor based at least in part on the determined probability; and

controlling invocation of the sensor in accordance with the determined sampling rate.

3. The method according to claim 2, wherein determining a sampling rate for the sensor comprises determining the sampling rate further based on a constant value.

4. The method according to claim 3, wherein the constant value comprises a default sampling rate for the sensor.

5. The method according to claim 1, wherein controlling invocation of the sensor comprises:

determining whether to invoke the sensor based at least in part on the determined probability.

6. The method according to claim 5, wherein determining whether to invoke the sensor comprises:

determining to invoke the sensor in an instance in which the determined probability meets or exceeds a predefined threshold probability; and

determining to not invoke the sensor in an instance in which the determined probability is less than the predefined threshold probability.

7. The method according to claim 1, wherein the observed context information is derived from one or more active sensors.

8. The method according to claim 1, wherein controlling invocation of the sensor comprises controlling invocation of the sensor further based on an amount of power remaining in a power source configured to provide power to the sensor.

9. The method according to claim 1, wherein controlling invocation of the sensor comprises controlling invocation of the sensor further based on an amount of power required for invocation of the sensor.

10. The method according to claim 1, further comprising:

collecting captured context information; and

updating the context probability model based at least in part on the collected captured context information.

11. The method according to claim 1, wherein the historical context data comprises historical context data for a mobile terminal, and wherein the sensor is embodied on or is operably connected to the mobile terminal.

12. The method according to claim 1, wherein using the context probability model to determine a probability comprises a processor using the context probability model to determine a probability.

13. The method according to claim 1, wherein using the context probability model to determine a probability comprises sensor control circuitry using the context probability model to determine a probability.

14. An apparatus comprising at least one processor and at least one memory storing computer program code, wherein the at least one memory and stored computer program code are configured, with the at least one processor, to cause the apparatus to at least:

access a context probability model generated based at least in part on historical context data;

use the context probability model to determine a probability that a context indicated by an output of a sensor will differ from a context indicated by a previous output of the sensor, the determination being made based at least in part on observed context information; and

control invocation of the sensor based at least in part on the determined probability.

15. The apparatus according to claim 14, wherein the at least one memory and stored computer program code are configured, with the at least one processor, to cause the apparatus to control invocation of the sensor at least in part by:

determining a sampling rate for the sensor based at least in part on the determined probability; and

controlling invocation of the sensor in accordance with the determined sampling rate.

16. The apparatus according to claim 15, wherein the at least one memory and stored computer program code are configured, with the at least one processor, to cause the apparatus to determine the sampling rate further based on a constant value.

17. The apparatus according to claim 16, wherein the constant value comprises a default sampling rate for the sensor.

18. The apparatus according to claim 14, wherein the at least one memory and stored computer program code are configured, with the at least one processor, to cause the apparatus to control invocation of the sensor at least in part by:

determining whether to invoke the sensor based at least in part on the determined probability.

19. The apparatus according to claim 18, wherein the at least one memory and stored computer program code are configured, with the at least one processor, to cause the apparatus to:

determine to invoke the sensor in an instance in which the determined probability meets or exceeds a predefined threshold probability; and

determine to not invoke the sensor in an instance in which the determined probability is less than the predefined threshold probability.

20-38. -38. (canceled)

38. A computer-readable storage medium carrying computer-readable program instructions, the computer-readable program instructions comprising:

program instructions configured to access a context probability model generated based at least in part on historical context data;

program instructions configured to use the context probability model to determine a probability that a context indicated by an output of a sensor will differ from a context indicated by a previous output of the sensor, the determination being made based at least in part on observed context information; and

program instructions configured to control invocation of the sensor based at least in part on the determined probability.

39-59. -59. (canceled)