WRIST-BASED SPEED AND DISTANCE MONITORING

• US 20140200847A1
• Filed: 01/16/2014
• Published: 07/17/2014
• Est. Priority Date: 01/17/2013
• Status: Abandoned Application

• Current Assignee: Garmin Switzerland GmbH (Garmin Limited)
• Original Assignee: Garmin Switzerland GmbH (Garmin Limited)
• Inventors: Singiresu, Dheeraj, Johnson, Christopher A.
• Application Number:
  US14/157,247
• Publication Number:
  US 20140200847A1
• Time in Patent Office: Days
• US Class Current: 702/141
• CPC Class Codes: G01C 22/006 Pedometers
• CPC Class Codes: G01P 7/00 Measuring speed by integrating acceleration measuring travelled distance by double integration of acceleration G01C21/16

Abstract

A method and apparatus for determining a current speed of a wrist-worn mobile electronic device. In some configurations, a wrist-worn mobile electronic device is provided that includes a motion sensor configured to sense motion of the user'"'"'s wrist and generate acceleration data, a position determining module, a non-transitory memory configured to store scale factors corresponding to a plurality of average acceleration points, and a processor operable to determine a cadence for the user, an average acceleration of the user'"'"'s wrist, select a scale factor and compute a current speed for the mobile electronic device based on the cadence, determined average acceleration and selected scale factor.

Claims

1. A wrist-worn mobile electronic device configured to be worn about a user'"'"'s wrist, the device comprising:

a motion sensor configured to sense motion of the user'"'"'s wrist and generate acceleration data;

a position determining module operable to receive one or more signals to determine a current geographic location of the mobile electronic device;

a non-transitory memory configured to store at least portions of the acceleration data and a scale factor corresponding to a plurality of average acceleration points; and

a processor coupled with the memory, the processor operable to—

determine, based on the acceleration data, a cadence for the user,

determine, based on the acceleration data, an average acceleration of the user'"'"'s wrist,

select the scale factor using the determined average acceleration, and

compute a current speed for the mobile electronic device based on the cadence, determined average acceleration and selected scale factor.

2. The wrist-worn mobile electronic device as recited in claim 1, wherein a plurality of scale factors are stored in a lookup table within the memory.

3. The wrist-worn mobile electronic device as recited in claim 1, wherein the processor is further operable to calibrate the scale factors based on the acceleration data and the determined geographic locations.

4. The wrist-worn mobile electronic device as recited in claim 3, wherein the calibration of the scale factors is based on a distance computed for the geographic locations determined over the time period over which the acceleration data was sensed.

5. The wrist-worn mobile electronic device as recited in claim 4, wherein the calibration of scale factors is based on the determined cadence, determined average acceleration and the distance computed for the determined geographic locations.

6. The wrist-worn mobile electronic device as recited in claim 1, wherein the cadence is determined by correlating acceleration data for a first period of time with acceleration data for a second period of time, the second period of time preceding the first period of time.

7. The wrist-worn mobile electronic device as recited in claim 6, wherein the cadence corresponds to a dominant repetitive motion identified by the correlation.

8. The wrist-worn mobile electronic device as recited in claim 1, wherein the motion sensor includes an accelerometer.

9. The wrist-worn mobile electronic device as recited in claim 1, wherein the position determining module includes a satellite navigation system receiver.

10. The wrist-worn mobile electronic device as recited in claim 1, further including a display operable to present an indication of the determined speed.

11. The wrist-worn mobile electronic device as recited in claim 1, wherein the processor is further operable to compute a distance based on the determined speed.

12. A wrist-worn mobile electronic device configured to be worn about a user'"'"'s wrist, the device comprising:

a motion sensor configured to sense motion of the user'"'"'s wrist and generate acceleration data;

a display operable to present an indication of a current speed;

a position determining module operable to receive one or more signals to determine a current geographic location of the mobile electronic device;

a non-transitory memory configured to store at least portions of the acceleration data and scale factors corresponding to a plurality of average acceleration points; and

a processor coupled with the memory, the processor operable to—

determine, based on the acceleration data, a cadence for the user,

determine, based on the acceleration data, an average acceleration of the user'"'"'s wrist,

calibrate the scale factors based on the acceleration data and the determined geographic locations,

select a scale factor using the determined average acceleration, and

compute the current speed for the mobile electronic device based on the cadence, determined average acceleration and selected scale factor.

13. The wrist-worn mobile electronic device as recited in claim 12, further including a communication module operable to receive the scale factors, wherein the received scale factors are stored in the memory.

14. The wrist-worn mobile electronic device as recited in claim 13, wherein the received scale factors are associated with the user.

15. The wrist-worn mobile electronic device as recited in claim 12, wherein the scale factors are initially based on gender.

16. The wrist-worn mobile electronic device as recited in claim 12, wherein the scale factors are stored in a lookup table within the memory and are calibrated based on the determined cadence, determined average acceleration and the distance computed for the determined geographic locations.

17. The wrist-worn mobile electronic device as recited in claim 12, wherein the calibration of the scale factors is based on a distance computed for the geographic locations determined over the time period over which the acceleration data was sensed.

18. The wrist-worn mobile electronic device as recited in claim 12, wherein the cadence is determined by correlating acceleration data for a first period of time with acceleration data for a second period of time, the second period of time preceding the first period of time.

19. A wrist-worn mobile electronic device configured to be worn about a user'"'"'s wrist, the device comprising:

a motion sensor configured to sense motion of the user'"'"'s wrist and generate acceleration data;

a display operable to present an indication of a current speed;

a position determining module operable to receive one or more signals to determine a current geographic location of the mobile electronic device;

a non-transitory memory configured to store at least portions of the acceleration data and scale factors corresponding to a plurality of average acceleration points; and

a processor coupled with the memory, the processor operable to—

determine, based on the acceleration data, a cadence for the user,

determine, based on the acceleration data, an average acceleration of the user'"'"'s wrist,

calibrate the scale factors based on the acceleration data and the determined geographic locations,

select a scale factor using the determined average acceleration, and

compute the current speed for the mobile electronic device based on the cadence, determined average acceleration and selected scale factor;

wherein the calibration of the scale factors is based on a distance computed for the geographic locations determined over the time period over which the acceleration data was sensed.

20. The wrist-worn mobile electronic device as recited in claim 19, further including a communication module operable to receive the scale factors, wherein the received scale factors are stored in the memory and are calibrated based on the determined cadence, determined average acceleration and the distance computed for the determined geographic locations.