Motion direction determination and application

• US 10,281,484 B2
• Filed: 05/02/2014
• Issued: 05/07/2019
• Est. Priority Date: 05/02/2014
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Pakzad, Payam, Kulik, Victor
• Primary Examiner(s): Lee, Paul D
• Assistant Examiner(s): Crohn, Mark I
• Application Number:
  US14/268,968
• Publication Number:
  US 20150316576A1
• Time in Patent Office: 1,831 Days
• Field of Search: None
• CPC Class Codes: G01C 21/1654 with electromagnetic compass
• CPC Class Codes: G01C 22/006 Pedometers
• CPC Class Codes: G01P 13/00 Indicating or recording presence, absence, or direction, of movement electric switches H01H; counting moving objects G06M7/00
• CPC Class Codes: G01P 15/00 Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/0346 with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors

Abstract

This disclosure provides devices, computer programs and methods for determining a motion direction. In one aspect, a mobile device includes one or more sensors configured to measure acceleration data in each of one or more directions. The mobile device also includes one or more processors and a memory storing instructions that, when executed by the one or more processors, implement a motion direction estimation module. The motion direction estimation module is configured to identify a use case for the mobile device based at least in part on the acceleration data. The motion direction estimation module also is configured to select a set of one or more parameters based on the identified use case. The motion direction estimation module is further configured to calculate an estimated motion direction of the mobile device based on the acceleration data and the respective set of parameters corresponding to the identified use case.

Claims

1. A method comprising:

obtaining, by one or more processors acceleration data for a mobile device in each of one or more directions, wherein obtaining the acceleration data involves receiving the acceleration data from one or more sensors of the mobile device;

identifying, via the one or more processors, a use case for the mobile device based at least in part on the acceleration data, the use case corresponding with at least one of a manner in which the mobile device is being carried or a manner in which a pedestrian carrying the mobile device is moving; and

selecting, via the one or more processors, a set of one or more parameters based on the identified use case, wherein the set of parameters includes a phase offset between vertical and horizontal components of the acceleration data and wherein a phase offset of a first use case is different from a phase offset of a second use case;

calculating, via the one or more processors, an estimated motion direction of the mobile device relative to a coordinate system based on the acceleration data and the respective set of parameters corresponding to the identified use case;

determining a reliability metric for the estimated motion direction; and

controlling a network interface of the mobile device according to whether the reliability metric is above a threshold value, the network interface being configured to communicate with a Global Positioning System, Satellite Navigation System, or other positioning or navigation system, wherein the controlling involves turning off the network interface if the reliability metric is above the threshold value.

2. The method of claim 1, wherein identifying a use case includes comparing the acceleration data with acceleration characteristics of a plurality of predefined use cases and selecting the one of the predefined use cases that is the best match, wherein each of the predefined use cases is stored or linked with a respective set of one or more parameters.

3. The method of claim 2, wherein the plurality of predefined use cases includes:

a use case in which the mobile device is in a telephone mode;

a use case in which the mobile device is in a pocket; and

a use case in which the mobile device is carried in a hand.

4. The method of claim 2, wherein the plurality of predefined use cases includes:

a use case in which the mobile device is carried in a hand in front of a user;

a use case in which the mobile device is carried in a hand at the side of a user as the user walks; and

a use case in which the mobile device is carried in a hand at the side of a user as the user runs.

5. The method of claim 1, further including detecting when the mobile device is in a telephone mode, wherein identifying the use case also is based on whether the mobile device is in the telephone mode.

6. The method of claim 1, further including determining a position of the mobile device relative to a user carrying the mobile device or to which the mobile device is attached, wherein identifying the use case also is based on the position of the mobile device.

7. The method of claim 1, further including identifying an orientation of the mobile device relative to the coordinate system based on the acceleration data or other orientation data.

8. The method of claim 7, wherein identifying the use case also is based at least in part on the orientation.

9. The method of claim 7, wherein calculating the estimated motion direction of the mobile device relative to the coordinate system also is based at least in part on the orientation.

10. The method of claim 7, wherein the orientation data includes one or both of gyroscopic data and magnetometer data.

11. The method of claim 1, further including tracking a number of steps taken by a person carrying the mobile device or to which the mobile device is attached.

12. The method of claim 11, wherein:

the method is performed within a moving window of time; and

the set of parameters includes a window length corresponding to a respective number of steps.

13. A mobile device comprising:

one or more sensors configured to measure acceleration data for the mobile device in each of one or more directions;

one or more processors; and

a memory storing instructions that, when executed by the one or more processors, implement a motion direction estimation module configured to;

identify a use case for the mobile device based at least in part on the acceleration data, the use case corresponding with at least one of a manner in which the mobile device is being carried or a manner in which a pedestrian carrying the mobile device is moving;

select a set of one or more parameters based on the identified use case, wherein the set of parameters includes a phase offset between vertical and horizontal components of the acceleration data and wherein a phase offset of a first use case is different from a phase offset of a second use case;

calculate an estimated motion direction of the mobile device relative to a coordinate system based on the acceleration data and the respective set of parameters corresponding to the identified use case;

determine a reliability metric for the estimated motion direction; and

control a network interface of the mobile device according to whether the reliability metric is above a threshold value, the network interface being configured to communicate with a Global Positioning System, Satellite Navigation System, or other positioning or navigation system, wherein the controlling involves turning off the network interface if the reliability metric is above the threshold value.

14. The mobile device of claim 13, wherein to identify the use case the motion direction estimation module is configured to compare the acceleration data with acceleration characteristics of a plurality of predefined use cases and to select the one of the predefined use cases that is the best match, wherein each of the predefined use cases is stored or linked with a respective set of one or more parameters.

15. The mobile device of claim 14, wherein the plurality of use predefined cases includes:

a use case in which the mobile device is in a telephone mode;

a use case in which the mobile device is in a pocket; and

a use case in which the mobile device is carried in a hand.

16. The mobile device of claim 14, wherein the plurality of predefined use cases includes:

a use case in which the mobile device is carried in a hand in front of a user;

a use case in which the mobile device is carried in a hand at the side of a user as the user walks; and

a use case in which the mobile device is carried in a hand at the side of a user as the user runs.

17. The mobile device of claim 13, wherein the memory further stores instructions that, when executed by the one or more processors, implement an orientation determination module configured to identify an orientation of the mobile device relative to the coordinate system based on the acceleration data or other orientation data.

18. The mobile device of claim 17, wherein the motion direction estimation module is further configured to identify the use case based at least in part on the orientation.

19. The mobile device of claim 17, wherein the motion direction estimation module is further configured to calculate the estimated motion direction of the mobile device relative to the coordinate system based at least in part on the orientation.

20. The mobile device of claim 13, wherein the set of parameters includes a moving window of time having a window corresponding to a respective number of steps.

21. One or more tangible computer-readable storage media including non-transitory instructions that, when executed by one or more processors, are configured to:

receive acceleration data for a mobile device in each of one or more directions;

identify a use case for the mobile device based at least in part on the acceleration data, the use case corresponding with at least one of a manner in which the mobile device is being carried or a manner in which a pedestrian carrying the mobile device is moving;

select a set of one or more parameters based on the identified use case, wherein the set of parameters includes a phase offset between vertical and horizontal components of the acceleration data and wherein a phase offset of a first use case is different from a phase offset of a second use case;

calculate an estimated motion direction of the mobile device relative to a coordinate system based on the acceleration data and the respective set of parameters corresponding to the identified use case;

determine a reliability metric for the estimated motion direction; and

control a network interface of the mobile device according to whether the reliability metric is above a threshold value, the network interface being configured to communicate with a Global Positioning System, Satellite Navigation System, or other positioning or navigation system, wherein the controlling involves turning off the network interface if the reliability metric is above the threshold value.

22. The media of claim 21, wherein the instructions for identifying the use case include instructions for comparing the acceleration data with acceleration characteristics of a plurality of predefined use cases and for selecting the one of the predefined use cases that is the best match, wherein each of the predefined use cases is stored or linked with a respective set of one or more parameters.

23. The media of claim 21, further including instructions for identifying an orientation of the mobile device relative to the coordinate system based on the acceleration data or other orientation data.

24. The media of claim 23, wherein the instructions for identifying the use case include instructions to identify the use case based at least in part on the orientation.

25. The media of claim 23, wherein the instructions for calculating the estimated motion direction include instructions to calculate the estimated motion direction based at least in part on the orientation.

26. The media of claim 21, wherein the set of parameters includes a moving window of time having a window corresponding to a respective number of steps.

27. An apparatus comprising:

means for obtaining acceleration data for the apparatus in each of one or more directions; and

means for identifying a use case for the apparatus based at least in part on the acceleration data, the use case corresponding with at least one of a manner in which the mobile device is being carried or a manner in which a pedestrian carrying the mobile device is moving, for selecting a set of one or more parameters based on the identified use case, wherein the set of parameters includes a phase offset between vertical and horizontal components of the acceleration data and wherein a phase offset of a first use case is different from a phase offset of a second use case, for calculating an estimated motion direction of the apparatus relative to a coordinate system based on the acceleration data and the respective set of parameters corresponding to the identified use case;

for determining a reliability metric for the estimated motion direction; and

for controlling a network interface of the mobile device according to whether the reliability metric is above a threshold value, the network interface being configured to communicate with a Global Positioning System, Satellite Navigation System, or other positioning or navigation system, wherein the controlling involves turning off the network interface if the reliability metric is above the threshold value.