MEMS ACCELEROMETER AIRLINER TAKEOFF AND LANDING DETECTION

• US 20130060514A1
• Filed: 01/03/2012
• Published: 03/07/2013
• Est. Priority Date: 09/01/2011
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Burke, John Michael
• Application Number:
  US13/342,439
• Publication Number:
  US 20130060514A1
• Time in Patent Office: Days
• US Class Current: 702/141
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: G01P 15/04 for indicating maximum value
• CPC Class Codes: G01P 15/0891 with indication of predetermined acceleration values G01P15/135 takes precedence
• CPC Class Codes: H04W 48/04 based on user or terminal location or mobility data, e.g. moving direction, speed

Abstract

Identifying an airliner motion event at a mobile device may utilize, for example, one or more accelerometers, an acceleration feature extractor, and a motion event identification processor. The one or more accelerometers may be configured to output calibrated triaxial accelerometer data. The acceleration feature extractor may be configured to determine scalar acceleration signals from the calibrated triaxial accelerometer data, to filter the scalar acceleration signals to reduce high frequency noise, and to process the filtered scalar acceleration signals to generate an acceleration spread waveform. The motion event identification processor may be configured to compare the acceleration spread waveform to one or more predetermined patterns characteristic of an airliner motion event, and to identify an airliner motion event based on whether the comparing results in a substantial match.

Claims

1. A method of identifying an airliner motion event at a mobile device, comprising:

determining scalar acceleration signals from calibrated triaxial accelerometer data obtained from one or more accelerometers;

filtering the scalar acceleration signals to reduce high frequency noise;

processing the filtered scalar acceleration signals to generate an acceleration spread waveform;

comparing the acceleration spread waveform to one or more predetermined patterns characteristic of an airliner motion event; and

identifying an airliner motion event based on whether the comparing results in a substantial match.

2. The method of claim 1, wherein the airliner motion event is a takeoff event or a landing event.

3. The method of claim 1, wherein the acceleration spread waveform tracks a difference between a maximum value and a minimum value of the filtered scalar acceleration signals over an observation window.

4. The method of claim 3, wherein the observation window has a period of between about ten and about one hundred and eighty seconds.

5. The method of claim 1, wherein the determining comprises averaging the calibrated triaxial accelerometer data over an averaging period of between about one and about sixty seconds.

6. The method of claim 1, wherein the one or more predetermined patterns include an acceleration spread pattern having a quiescent period followed by an airliner takeoff ground run and climb event.

7. The method of claim 6, wherein the airliner takeoff ground run and climb event is defined by a positive acceleration spread having an amplitude above a specified threshold for a time period within a specified range.

8. The method of claim 1, wherein the one or more predetermined patterns include an acceleration spread pattern having a landing ground run event followed by a quiescent period.

9. The method of claim 8, wherein the landing ground run event is defined by a positive acceleration spread having an amplitude within a specified range for a time period within a specified range, and a negative acceleration spread, adjacent in time to the positive acceleration spread, having an amplitude within a specified range for a time period within a specified range.

10. The method of claim 1, further comprising comparing the acceleration spread waveform to one or more predetermined patterns characteristic of an airliner flight event, wherein identifying the airliner motion event is further based on whether a minimum number of flight events are detected over a given time period.

11. The method of claim 1, further comprising enabling or disabling at least one telephony function of the mobile device based on the airliner motion event identification.

12. The method of claim 1, wherein the one or more accelerometers are calibrated to the extent that any modification of device orientation generates less than a one percent change in acceleration spread.

13. An apparatus for identifying an airliner motion event at a mobile device, comprising:

one or more accelerometers configured to output calibrated triaxial accelerometer data;

an acceleration feature extractor configured to determine scalar acceleration signals from the calibrated triaxial accelerometer data, to filter the scalar acceleration signals to reduce high frequency noise, and to process the filtered scalar acceleration signals to generate an acceleration spread waveform; and

a motion event identification processor configured to compare the acceleration spread waveform to one or more predetermined patterns characteristic of an airliner motion event, and to identify an airliner motion event based on whether the comparing results in a substantial match.

14. The apparatus of claim 13, wherein the airliner motion event is a takeoff event or a landing event.

15. The apparatus of claim 13, wherein the acceleration spread waveform tracks a difference between a maximum value and a minimum value of the filtered scalar acceleration signals over an observation window.

16. The apparatus of claim 15, wherein the observation window has a period of between about ten and about one hundred and eighty seconds.

17. The apparatus of claim 13, wherein the determining comprises averaging the calibrated triaxial accelerometer data over an averaging period of between about one and about sixty seconds.

18. The apparatus of claim 13, wherein the one or more predetermined patterns include an acceleration spread pattern having a quiescent period followed by an airliner takeoff ground run and climb event.

19. The apparatus of claim 18, wherein the airliner takeoff ground run and climb event is defined by a positive acceleration spread having an amplitude above a specified threshold for a time period within a specified range.

20. The apparatus of claim 13, wherein the one or more predetermined patterns include an acceleration spread pattern having a landing ground run event followed by a quiescent period.

21. The apparatus of claim 20, wherein the landing ground run event is defined by a positive acceleration spread having an amplitude within a specified range for a time period within a specified range, and a negative acceleration spread, adjacent in time to the positive acceleration spread, having an amplitude within a specified range for a time period within a specified range.

22. The apparatus of claim 13, wherein the motion event identification processor is further configured to compare the acceleration spread waveform to one or more predetermined patterns characteristic of an airliner flight event, the identifying of the airliner motion event being further based on whether a minimum number of flight events are detected over a given time period.

23. The apparatus of claim 13, wherein the motion event identification processor is further configured to enable or disable at least one telephony function of the mobile device based on the airliner motion event identification.

24. The apparatus of claim 13, wherein the one or more accelerometers are calibrated to the extent that any modification of device orientation generates less than a one percent change in acceleration spread.

25. An apparatus for identifying an airliner motion event at a mobile device, comprising:

means for determining scalar acceleration signals from calibrated triaxial accelerometer data obtained from one or more accelerometers;

means for filtering the scalar acceleration signals to reduce high frequency noise;

means for processing the filtered scalar acceleration signals to generate an acceleration spread waveform;

means for comparing the acceleration spread waveform to one or more predetermined patterns characteristic of an airliner motion event; and

means for identifying an airliner motion event based on whether the comparing results in a substantial match.

26. The apparatus of claim 25, wherein the airliner motion event is a takeoff event or a landing event.

27. The apparatus of claim 25, wherein the acceleration spread waveform tracks a difference between a maximum value and a minimum value of the filtered scalar acceleration signals over an observation window.

28. The apparatus of claim 25, wherein the one or more predetermined patterns include at least one of:

an acceleration spread pattern having a quiescent period followed by an airliner takeoff ground run and climb event, or an acceleration spread pattern having a landing ground run event followed by a quiescent period.

29. The apparatus of claim 25, further comprising means for comparing the acceleration spread waveform to one or more predetermined patterns characteristic of an airliner flight event, the identifying of the airliner motion event being further based on whether a minimum number of flight events are detected over a given time period.

30. The apparatus of claim 25, further comprising means for enabling or disabling at least one telephony function of the mobile device based on the airliner motion event identification.

31. A computer-readable medium comprising code, which, when executed by a processor, causes the processor to perform operations for identifying an airliner motion event at a mobile device, the computer-readable medium comprising:

code for determining scalar acceleration signals from calibrated triaxial accelerometer data obtained from one or more accelerometers;

code for filtering the scalar acceleration signals to reduce high frequency noise;

code for processing the filtered scalar acceleration signals to generate an acceleration spread waveform;

code for comparing the acceleration spread waveform to one or more predetermined patterns characteristic of an airliner motion event; and

code for identifying an airliner motion event based on whether the comparing results in a substantial match.

32. The computer-readable medium of claim 31, wherein the airliner motion event is a takeoff event or a landing event.

33. The computer-readable medium of claim 31, wherein the acceleration spread waveform tracks a difference between a maximum value and a minimum value of the filtered scalar acceleration signals over an observation window.

34. The computer-readable medium of claim 31, wherein the one or more predetermined patterns include at least one of:

an acceleration spread pattern having a quiescent period followed by an airliner takeoff ground run and climb event, or an acceleration spread pattern having a landing ground run event followed by a quiescent period.

35. The computer-readable medium of claim 31, further comprising code for comparing the acceleration spread waveform to one or more predetermined patterns characteristic of an airliner flight event, the identifying of the airliner motion event being further based on whether a minimum number of flight events are detected over a given time period.

36. The computer-readable medium of claim 31, further comprising code for enabling or disabling at least one telephony function of the mobile device based on the airliner motion event identification.

37. An apparatus for identifying an airliner motion event at a mobile device, comprising:

one or more processors configured to;

determine scalar acceleration signals from calibrated triaxial accelerometer data obtained from one or more accelerometers,

filter the scalar acceleration signals to reduce high frequency noise,

process the filtered scalar acceleration signals to generate an acceleration spread waveform,

compare the acceleration spread waveform to one or more predetermined patterns characteristic of an airliner motion event, and

identify an airliner motion event based on whether the comparing results in a substantial match; and

memory coupled to the one or more processors and configured to store related data and/or instructions.