METHODS AND APPARATUSES FOR USE IN DETERMINING A MOTION STATE OF A MOBILE DEVICE

• US 20130102323A1
• Filed: 10/19/2011
• Published: 04/25/2013
• Est. Priority Date: 10/19/2011
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Czompo, Joseph
• Granted Patent: US 8,750,897 B2
• Time in Patent Office: Days
• US Class Current: 455/456.1
• CPC Class Codes: G01S 19/34 Power consumption

Abstract

Techniques are provided which may be implemented using various methods and/or apparatuses in a mobile device to classify and/or otherwise determine a “motion state” of the mobile device. The mobile device may, for example, classify a motion state of the mobile device based on sensed data (e.g., from inertial sensors, environmental sensors, etc.) that may be filtered based on a vibration profile. A motion state may then affect operation of one or more other functions performed or supported by the mobile device.

Claims

1. A method for use in classifying a motion state of a mobile device, the method comprising:

at a mobile device;

filtering sensed data associated with one or more sensors at said mobile device based, at least in part, on a vibration profile associated with at least one mechanism capable of inducing movement of at least said mobile device; and

classifying a motion state of said mobile device based, at least in part, on said filtered sensed data.

2. The method as recited in claim 1, wherein classifying said motion state further comprises:

determining a variance value associated with at least a portion of said filtered sensed data over a period of time; and

comparing said variance value with at least one threshold value.

3. The method as recited in claim 2, wherein said variance value represents at least one of:

an average variance value of said portion of said filtered sensed data during said period of time, or a maximum variance value of said portion of said filtered sensed data during said period of time.

4. The method as recited in claim 2, wherein said period of time is associated with said vibration profile.

5. The method as recited in claim 1, further comprising:

selectively obtaining said sensed data in response to an initial motion detection event.

6. The method as recited in claim 1, wherein said motion state comprises either a stationary state or at least one type of non-stationary state.

7. The method as recited in claim 1, wherein classifying said motion state further comprises:

classifying said motion state based, at least in part, on at least one satellite positioning system (SPS) signal obtained at said mobile device.

8. The method as recited in claim 1, further comprising:

affecting operation of at least one function performed, at least in part, by said mobile device based, at least in part, on said motion state.

9. The method as recited in claim 8, wherein said at least one function performed, at least in part, by said mobile device comprises at least one of a navigation function and/or a power control function.

10. The method as recited in claim 8, wherein said at least one mechanism comprises at least one of a mobile device user and/or a machine.

11. An apparatus for use in classifying a motion state of a mobile device, the apparatus comprising:

memory; and

at least one processing unit to;

obtain sensed data from said memory, said sensed data being associated with one or more sensors at a mobile device;

filter said sensed data based, at least in part, on a vibration profile associated with at least one mechanism capable of inducing movement of at least said mobile device; and

determine a motion state of said mobile device based, at least in part, on said filtered sensed data.

12. The apparatus as recited in claim 11, said at least one processing unit to further:

determine a variance value associated with at least a portion of said filtered sensed data over a period of time; and

compare said variance value with at least one threshold value to determine said motion state.

13. The apparatus as recited in claim 12, wherein said variance value represents at least one of:

an average variance value of said portion of said filtered sensed data during said period of time, or a maximum variance value of said portion of said filtered sensed data during said period of time.

14. The apparatus as recited in claim 12, wherein said period of time is associated with said vibration profile.

15. The apparatus as recited in claim 11, said at least one processing unit to further:

selectively obtain said sensed data in response to an initial motion detection event.

16. The apparatus as recited in claim 11, wherein said motion state comprises either a stationary state or at least one type of non-stationary state.

17. The apparatus as recited in claim 11, further comprising:

a satellite positioning system (SPS) receiver; and

wherein said at least one processing unit to further determine said motion state based, at least in part, on at least one SPS signal obtained at said mobile device via said SPS receiver.

18. The apparatus as recited in claim 11, said at least one processing unit to further:

affect operation of at least one function performed, at least in part, by said mobile device based, at least in part, on said motion state.

19. The apparatus as recited in claim 18, wherein said at least one function performed, at least in part, by said mobile device comprises at least one of a navigation function and/or a power control function.

20. The apparatus as recited in claim 18, wherein said at least one mechanism comprises at least one of a mobile device user and/or a machine.

21. An apparatus for use in classifying a motion state of a mobile device, the apparatus comprising:

means for filtering sensed data associated with one or more sensors at a mobile device based, at least in part, on a vibration profile associated with at least one mechanism capable of inducing movement of at least said mobile device; and

means for classifying a motion state of said mobile device based, at least in part, on said filtered sensed data.

22. The apparatus as recited in claim 21, wherein means for classifying said motion state further comprises:

means for determining a variance value associated with at least a portion of said filtered sensed data over a period of time; and

means for comparing said variance value with at least one threshold value.

23. The apparatus as recited in claim 22, wherein said variance value represents at least one of:

an average variance value of said portion of said filtered sensed data during said period of time, or a maximum variance value of said portion of said filtered sensed data during said period of time.

24. The apparatus as recited in claim 22, wherein said period of time is associated with said vibration profile.

25. The apparatus as recited in claim 21, further comprising:

means for selectively obtaining said sensed data in response to an initial motion detection event.

26. The apparatus as recited in claim 21, wherein said motion state comprises either a stationary state or at least one type of non-stationary state.

27. The apparatus as recited in claim 21, wherein said means for classifying said motion state further comprises:

means for classifying said motion state based, at least in part, on at least one satellite positioning system (SPS) signal obtained at said mobile device.

28. The apparatus as recited in claim 21, further comprising:

means for affecting operation of at least one function performed, at least in part, by said mobile device based, at least in part, on said motion state.

29. The apparatus as recited in claim 28, wherein said at least one function performed, at least in part, by said mobile device comprises at least one of a navigation function and/or a power control function.

30. The apparatus as recited in claim 28, wherein said at least one mechanism comprises at least one of a mobile device user and/or a machine.

31. An article comprising:

a non-transitory computer readable medium having stored therein computer-implementable instructions executable by one or more processing units of a mobile device to;

obtain sensed data associated with one or more sensors at said mobile device;

filter said sensed data based, at least in part, on a vibration profile associated with at least one mechanism capable of inducing movement of at least said mobile device; and

determine a motion state of said mobile device based, at least in part, on said filtered sensed data.

32. The article as recited in claim 31, wherein said computer-implementable instructions are further executable by said one or more processing units to:

determine a variance value associated with at least a portion of said filtered sensed data over a period of time; and

compare said variance value with at least one threshold value to determine said motion state.

33. The article as recited in claim 32, wherein said variance value represents at least one of:

an average variance value of said portion of said filtered sensed data during said period of time, or a maximum variance value of said portion of said filtered sensed data during said period of time.

34. The article as recited in claim 32, wherein said period of time is associated with said vibration profile.

35. The article as recited in claim 31, wherein said computer-implementable instructions are further executable by said one or more processing units to:

selectively obtain said sensed data in response to an initial motion detection event.

36. The article as recited in claim 31, wherein said motion state comprises either a stationary state or at least one type of non-stationary state.

37. The article as recited in claim 31, wherein said computer-implementable instructions are further executable by said one or more processing units to:

determine said motion state based, at least in part, on at least one satellite positioning system (SPS) signal obtained at said mobile device.

38. The article as recited in claim 31, wherein said computer-implementable instructions are further executable by said one or more processing units to:

affect operation of at least one function performed, at least in part, by said mobile device based, at least in part, on said motion state.

39. The article as recited in claim 38, wherein said at least one function performed, at least in part, by said mobile device comprises at least one of a navigation function and/or a power control function.

40. The article as recited in claim 38, wherein said at least one mechanism comprises at least one of a mobile device user and/or a machine.