Activity monitoring computing device and system

• US 10,285,625 B2
• Filed: 10/07/2014
• Issued: 05/14/2019
• Est. Priority Date: 10/07/2013
• Status: Active Grant

• Current Assignee: Wahoo Fitness LLC
• Original Assignee: Wahoo Fitness LLC
• Inventors: Hawkins, III, Harold M., Lyle, Michael A., Collins, Bradley Jaymes, Uroda, Christopher Luke, Snaterse, Mark
• Primary Examiner(s): Downey, John R
• Application Number:
  US14/508,799
• Publication Number:
  US 20150099945A1
• Time in Patent Office: 1,680 Days
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/7235 Details of waveform analysis A61B5/349 takes precedence
• CPC Class Codes: G01C 22/002 for cycles
• CPC Class Codes: G01C 22/006 Pedometers

Abstract

An activity monitoring device (AMD) wearable on the torso of a user. The AMD including functional components such as an accelerometer, a processor, on-board data memory, a wireless transmitter and electrodes for detecting heart rate. The functional components configured to collect data in order to provide heart rate information, running speed, ground contact time, vertical oscillation, cycling cadence, riding positions (standing or seated) and other functions. The device may be accessed and controlled by way of the wireless connection. The device and/or functions thereof may also be controlled through accurate user tap detection. The device may further store and transmit information relevant to various functions for remote storage or display.

Claims

1. A device comprising:

a housing coupled with a strap configured to secure the housing to a torso of a user;

an accelerometer in communication with a computing unit disposed in the housing, the accelerometer configured to communicate acceleration data associated with movements of the user to the computing unit;

the computing unit configured to;

obtain, from the accelerometer, a first plurality of acceleration values along a vertical axis and a second plurality of acceleration values along a second axis;

obtain, a first plurality of jerk values for the first plurality of acceleration values and a second plurality of jerk values for the second plurality of acceleration values;

detect a first series of zero crossings for the first plurality of jerk values and a second series of zero crossings for the second plurality of jerk values;

from the first series of zero crossing and the second series of zero crossing, compute at least one of riding cadence, a standing riding identifier or a sitting riding identifier.

2. The device of claim 1 further comprising:

a computing unit disposed within the housing and in communication with a pair of electrodes, the pair of electrodes configured to detect heart rate signals from the user, the computing unit coupled with a memory to store processed heart rate signals; and

a wireless transmitter supported in the housing and operably coupled with the computing unit.

3. A device comprising:

a housing coupled with a strap configured to secure the housing to a torso of a user;

an accelerometer in communication with the computing unit disposed within the housing, the accelerometer configured to communicate acceleration data associated with movements of the user to the computing unit;

the computing unit configured to obtain cycle riding cadence through computer executable instructions for;

obtaining, from the accelerometer, a first plurality of acceleration values along a vertical axis and a second plurality of acceleration values along a second axis;

obtaining a first plurality of jerk values for the first plurality of acceleration values and a second plurality of jerk values for the second plurality of acceleration values;

detecting a first series of zero crossings for the first plurality of jerk values and a second series of zero crossings for the second plurality of jerk values;

obtaining a first set of time durations between the first series of zero crossings and a second set of time durations between the second series of zero crossings; and

identifying a riding cadence value based on whether the first set of time durations or the second set of time durations has a lower variability.

4. The device of claim 3 wherein the second axis is a side-to-side axis, and the riding cadence is based on the variability in the set of durations between vertical oscillation or side-to-side oscillation.

5. The device of claim 4, the computing unit further configured to:

filter the first plurality of acceleration values with a filter having a first cutoff frequency and the second plurality of acceleration values with a second filter having about double the first cutoff frequency of the first filter.

6. The device of claim 5 wherein the first cutoff frequency is 1.5 Hz and the second cutoff frequency is 3 Hz.

18. The device of claim 3 wherein the computing unit disposed within the housing and in communication with a pair of electrodes, the pair of electrodes configured to detect heart rate signals from the user, the computing unit coupled with a memory to store processed heart rate signals, the computing unit further configured to generate and store processed acceleration data in the memory.

7. A device comprising:

a housing coupled with a strap configured to secure the housing to a torso of a user;

an accelerometer in communication with the computing unit disposed within the housing, the accelerometer configured to communicate acceleration data associated with movements of the user to the computing unit;

the computing unit including computer executable instructions to determine whether the user while cycling is standing or seated comprising;

obtaining, from the accelerometer, a first plurality of acceleration values along a vertical axis and a second plurality of acceleration values along a forward-backward axis;

obtaining a first plurality of jerk values for the first plurality of acceleration values and a second plurality of jerk values for the second plurality of acceleration values;

detecting a first series of zero crossings for the first plurality of jerk values and a second series of zero crossings for the second plurality of jerk values;

when the first series of zero crossing are out of phase with the second plurality of zero crossings, providing a seated riding identifier;

when the first series of zero crossing are in phase with the second plurality of zero crossings, applying a boundary equation to the first plurality of jerk values and the second plurality of jerk values and cadence, and

when a moving average of the normalized boundary equation output exceeds a threshold, providing a standing riding identifier.

19. The device of claim 7 wherein the computing unit disposed within the housing and in communication with a pair of electrodes, the pair of electrodes configured to detect heart rate signals from the user, the computing unit coupled with a memory to store processed heart rate signals, the computing unit further configured to generate and store processed acceleration data in the memory.

8. A method comprising:

obtaining, at a computing unit, from an accelerometer, a first plurality of acceleration values along a vertical axis and a second plurality of acceleration values along a second axis;

obtaining, using the computing unit, a first plurality of jerk values for the first plurality of acceleration values and a second plurality of jerk values for the second plurality of acceleration values;

identifying, using the computing unit, a first series of zero crossings for the first plurality of jerk values and a second series of zero crossings for the second plurality of jerk values;

identifying, using the computing unit, a first set of time durations between the first series of zero crossings and a second set of time durations between the second series of zero crossings; and

identifying, using the computing unit, a riding cadence value based on whether the first set of time durations or the second set of time durations has a lower variability.

9. The method of claim 8 wherein the second axis is a side-to-side axis, and the riding cadence is based on the variability in the set of durations between vertical oscillation or side-to-side oscillation.

10. The method of claim 8 further comprising generating a signal to display the riding cadence value at a display.

11. The method of claim 8 wherein:

the computing unit is disposed within a housing supportable at the chest of a user; and

the accelerometer is in communication with the computing unit, the accelerometer configured to communicate acceleration data associated with movements of the user to the computing unit, the computing unit further configured to generate and store processed acceleration data in a memory coupled with the computing unit and within the housing.

12. The method of claim 8 wherein the computing unit is disposed within a housing supportable at a chest of a user, the computing unit in communication with a pair of electrodes, the pair of electrodes configured to detect heart rate signals from the user, the computing unit coupled with a memory to store processed heart rate signals.

13. The method of claim 8 wherein a memory is coupled with the computing unit, the memory including computer executable instructions to perform the method of claim 8.

14. A method comprising:

obtaining, at a computing unit, from an accelerometer, a first plurality of acceleration values along a vertical axis and a second plurality of acceleration values along a forward-backward axis;

obtaining, at the computing unit, a first plurality of jerk values for the first plurality of acceleration values and a second plurality of jerk values for the second plurality of acceleration values;

detecting, at the computing unit, a first series of zero crossings for the first plurality of jerk values and a second series of zero crossings for the second plurality of jerk values;

when the first series of zero crossing are in phase with the second plurality of zero crossings, providing, by the computing unit, a seated riding identifier;

when the first series of zero crossing are out of phase with the second plurality of zero crossings, applying a boundary equation to the first plurality of jerk values and the second plurality of jerk values and cadence;

when a moving average of the normalized boundary equation output exceeds a threshold, providing, by the computing unit, a standing riding identifier.

15. The method of claim 14 further comprising generating a signal to display the seated riding identifier or the standing riding identifier at a display.

16. The method of claim 14 wherein:

the computing unit is disposed within a housing configured to be supported on the chest of a user; and

the accelerometer is in communication with the computing unit, the accelerometer configured to communicate acceleration data associated with movements of the user to the computing unit, the computing unit further configured to generate and store processed acceleration data in a memory coupled with the computing unit and within the housing.

17. The method of claim 14 wherein a memory is coupled with the computing unit, the memory including computer executable instructions to perform the method of claim 14.