Human activity monitoring device

1. A method of monitoring human activity using an inertial sensor, comprising:

continuously determining an orientation of the inertial sensor;

assigning a dominant axis;

updating the dominant axis as the orientation of the inertial sensor changes; and

counting periodic human motions by monitoring accelerations relative to the dominant axis.

2. The method of claim 1 , further comprising:

using acceleration measurements along only the dominant axis to count steps.

3. The method of claim 1 , further comprising:

maintaining a cadence window, wherein the cadence window is continuously updated as an actual cadence changes; and

counting a periodic human motion when an acceleration measurement that meets motion criteria is within the cadence window.

4. The method of claim 3 , wherein at least one of the motion criteria is a dynamic motion criterion, the dynamic motion criterion being continuously updated to reflect current conditions.

5. The method of claim 4 , wherein the dynamic motion criteria includes at least a lower threshold, wherein the lower threshold is adjusted based on at least one of a rolling average of accelerations and the orientation of the inertial sensor.

6. A method of monitoring human activity using an inertial sensor, comprising:

running a device that includes the inertial sensor in a non-active mode, in which periodic human motions are buffered;

switching the device from the non-active mode to an active mode, after identifying a number of periodic human motions within appropriate cadence windows; and

during the active mode, counting each of the periodic human motions to enable the monitoring of human activity.

7. The method of claim 6 , further comprising:

switching the device from the active mode to the non-active mode when a number of expected periodic human motions are not identified in the appropriate cadence windows.

8. The method of claim 6 , further comprising:

switching from a sleep mode to the non-active mode of operation when an acceleration is detected.

9. The method of claim 6 , wherein running the device in a non-active mode comprises running the device in one of an exit mode and an entry mode.

10. The method of claim 9 , wherein:

a requirement for switching the device from the exit mode to the active mode is lower than a requirement for switching the device from the entry mode to the active mode.

11. An inertial sensor based device, comprising:

a dominant axis logic, to continuously determine an orientation of a device, to assign a dominant axis, and to update the dominant axis as the orientation of the device changes; and

a counting logic to count periodic human motions by monitoring accelerations relative to the dominant axis.

12. The device of claim 11 , wherein:

The counting logic uses acceleration measurements along only the dominant axis to count steps.

13. The device of claim 11 , further comprising:

a cadence logic to continuously update a dynamic cadence window; and

the counting logic to count a periodic human motion when an acceleration measurement that meets motion criteria is taken within the cadence window.

14. The device of claim 11 , further comprising:

a comparator, to compare measurements of acceleration to dynamic motion criteria, the dynamic motion criteria being continuously updated to reflect current conditions; and

the counting logic to count a periodic human motion when the measurements of acceleration satisfy the dynamic motion criteria.

15. A device including an inertial sensor, comprising:

a counting logic, to identify and count periodic human motions;

a mode logic, to switch the device from a non-active mode to an active mode after a number of periodic human motions are detected within appropriate cadence windows by the counting logic; and

a buffer, to buffer periodic human motions when the device is in the non-active mode.

16. The device of claim 15 , wherein:

the mode logic to switch the device from the active mode to the non-active mode when a number of expected periodic human motions are not identified in the appropriate cadence windows.

17. The device of claim 15 , wherein the non-active mode comprises one of an exit mode and an entry mode.

18. The device of claim 17 , wherein:

a requirement for the mode logic to switch the device from the exit mode to the active mode is lower than a requirement for the mode logic to switch the device from the entry mode to the active mode.

19. The device of claim 15 , further comprising:

a cadence logic, to set the appropriate cadence windows.

20. The device of claim 19 , wherein the cadence logic adjusts the cadence windows based on a measured cadence associated with the periodic human motion.