Motion Classification Device

• US 20140058701A1
• Filed: 10/31/2013
• Published: 02/27/2014
• Est. Priority Date: 03/28/2007
• Status: Abandoned Application

• Current Assignee: Thales Holdings UK Plc (Thales SA)
• Original Assignee: Thales Holdings UK Plc (Thales SA)
• Inventors: Stansfield, Edward
• Application Number:
  US14/069,274
• Publication Number:
  US 20140058701A1
• Time in Patent Office: Days
• US Class Current: 702/142
• CPC Class Codes: G01P 1/06 Indicating or recording devices, e.g. for remote indication indicating or recording in general G01D; registering or indicating working conditions of vehicles G07C5/00
• CPC Class Codes: G08B 13/1436 with motion detection
• CPC Class Codes: Y10T 29/49771 Quantitative measuring or gauging

Abstract

The present invention relates to a motion classification device 14 comprising sensor means 141 for monitoring movements of a targeted object, said sensor means 141 being operable to output motion signals based on said monitored movements, a processing means 147 for processing said motion signals, said processing means being operable to compare said processed motion signals with a set of predetermined values such that an event of said targeted object 12 being moved from a first mode of operation to a second mode of operation can be detected by determining the difference between said processed motion signals and said set of predetermined values.

Claims

1. A motion classification device comprising:

a. a sensor for attaching to an object, for monitoring movement of the object, and for outputting motion signals corresponding to the movement, wherein the motion signals comprise a set of classification coefficients generated from a spectral magnitude of vector signals; and

b. a processor configured to detect when the object moves from a first mode of operation to a second mode of operation by comparing the motion signals with a set of predetermined values.

2. The motion classification device of claim 1, wherein the first mode of operation is any one of:

i. when the motion classification device is first attached to the object; and

ii. a current mode of operation of said motion classification device.

3. The motion classification device of claim 1, wherein the second mode of operation is any mode that excludes the first mode of operation.

4. The motion classification device of claim 1, wherein the sensor comprises at least one multiple-axis motion sensor.

5. The motion classification device of claim 4 wherein the multiple-axis motion sensor measures motion along at least two axes, and wherein the axes are orthogonal to each other.

6. The motion classification device of claim 4, wherein the motion sensor is any one of:

i. an accelerometer in an inertial measurement unit;

ii. a gyroscope in an inertial measurement unit; and

iii. an accelerometer in a vibration unit.

7. The motion classification device of claim 4, wherein the processor comprises at least two input terminals connected to the multiple-axis motion sensor for receiving the motion signals corresponding to each axis independently.

8. The motion classification device of claim 4 wherein the processor is configured to sample the motion signals received from the multiple-axis motion sensor as at least one block of signal samples corresponding to each axis.

9. The motion classification device of claim 8 wherein the processor is further configured to generate the spectral magnitude of vector signals for at least one frequency component based on the block of signal samples corresponding to each axis.

10. The motion classification device of claim 9 wherein the processor is further configured to generate the set of classification coefficients from the generated spectral magnitude of vector signals.

11. The motion classification device of claim 10 wherein the set of classification coefficients is any one of:

a set of general spectral classification coefficients; and

ii. a set of general spectral modulation classification coefficients.

12. The motion classification device of claim 1 wherein the set of predetermined values is any one of:

i. a set of fixed predetermined values; and

ii. a range of predetermined values.

13. The motion classification device of claim 11, wherein the processor is further configured to process the set of classification coefficients.

14. The motion classification device of claim 13, wherein the processor is further configured to perform a pre-alert routine when the set of classification coefficients is not equivalent to the set of fixed predetermined values.

15. The motion classification device of claim 14, wherein the pre-alert routine comprises recording temporal or spatial information of the motion classification device.

16. The motion classification device of claim 13 wherein the processor is further configured to trigger an alert signal when the set of classification coefficients is not within the range of predetermined values.

35. The motion classification device of claim 1, wherein the sensor is attached to the object, and the object comprises a cargo container.

17. A motion classification device comprising:

a. a sensor for monitoring movement of an object, the sensor and for outputting motion signals corresponding to the movement, wherein the motion signals comprise a set of classification coefficients generated from a spectral magnitude of vector signals;

b. a processor configured to;

i. receive the motion signals, and to determine statistics of the motion signals over a period of time when the motion classification device is in a first mode of operation; and

ii. detect when the object moves from a first mode of operation to a second mode of operation by comparing the motion signals and the determined statistics of the motion signals.

18. The motion classification device of claim 17 wherein said first mode of operation includes any one of:

i. when the motion classification device is first attached to the object; and

ii. a current mode of operation of said motion classification device.

19. The motion classification device of claim 17, wherein the second mode of operation is any mode that excludes the first mode of operation.

20. The motion classification device of claim 17, wherein the sensor comprises at least one multiple-axis motion sensor.

21. The motion classification device of claim 20 wherein the multiple-axis motion sensor measures motion along at least two axes, and wherein the axes are orthogonal to each other.

22. The motion classification device of claim 21, wherein the processor comprises at least two input terminals connected to the multiple-axis motion sensor for receiving the motion signals corresponding to each axis independently.

23. The motion classification device of claim 20 wherein the motion sensor is any one of:

i. an accelerometer in an inertial measurement unit;

ii. a gyroscope in an inertial measurement unit; and

iii. an accelerometer in a vibration unit.

24. The motion classification device of claim 20 wherein the processor is configured to sample the motion signals received from the multiple-axis motion sensor as at least one block of signal samples corresponding to each axis.

25. The motion classification device of claim 24 wherein the processor is further configured to generate the spectral magnitude of vector signals for at least one frequency component based on the block of signal samples corresponding to each axis.

26. The motion classification device of claim 25 wherein the processor is further configured to generate the set of classification coefficients from the generated spectral magnitude of vector signals.

27. The motion classification device of claim 26 wherein said set of classification coefficients is any one of:

i. a set of general spectral classification coefficients;

ii. a set of general spectral modulation classification coefficients; and

iii. the determined statistics of said output motion signals.

28. The motion classification device of claim 17, wherein the determined statistics of the motion signals comprise an overall standard deviation of sampled signals corresponding to each axis.

29. The motion classification device of claim 17, wherein said set of predetermined values is any one of:

i. a set of fixed predetermined values; and

ii. a range of predetermined values.

30. The motion classification device of claim 27, wherein the processor is further configured to process the classification coefficients.

31. The motion classification device of claim 30;

wherein the processor is further configured to perform a pre-alert routine when the set of classification coefficients is not equivalent to the set of fixed predetermined values.

32. The motion classification device of claim 31, wherein the pre-alert routine comprises recording temporal or spatial information of the motion classification device.

33. The motion classification device of claim 30, wherein the processor is further configured to trigger an alert signal when the set of classification coefficients is not within the range of predetermined values

36. The motion classification device of claim 17, wherein the sensor is attached to the object, and the object comprises a cargo container.

34. A method of retrofitting an object with a motion classification device comprising:

a. attaching a sensor to the object for outputting motion signals corresponding to movement of the object; and

b. detecting when the object moves from a first mode of operation to a second mode of operation by comparing the motion signals with a set of predetermined values.

37. The method of claim 34, wherein the object comprises a cargo container.

38. A method of retrofitting an object with a motion classification device comprising:

a. attaching a sensor to the object for outputting notion signals corresponding to movement of the object;

b. receiving the motion signals, and determining statistics of the motion signals over a period of time when the motion classification device is in a first mode of operation; and

c. detecting when the object moves from a first mode of operation to a second mode of operation by comparing the motion signals and the determined statistics of the motion signals.