Activity pulse

Patent metadata

Field	Value
Publication number	US-11369288-B2
Application number	US-201716084892-A
Country	US
Kind code	B2
Filing date	Mar 14, 2017
Priority date	Mar 14, 2016
Publication date	Jun 28, 2022
Grant date	Jun 28, 2022

Abstract

Described is device for monitoring an activity. The device comprises a transducer that generates electric power from the activity and an energy store that stores the electric power over consecutive time intervals. The device further comprises a transmitter that periodically transmits the stored energy as an activity pulse indicative of an activity classification.

First claim

The invention claimed is:

1. A device for monitoring an activity, the device comprising:
a transducer that generates electric power from the activity;
an energy store that stores the electric power over consecutive time intervals as stored energy; and
a transmitter that periodically transmits the stored energy as an activity pulse indicative of an activity classification.

2. The device of claim 1 wherein the activity classification is selected from a group consisting of: walking, running, ascending stairs, descending stairs, and standing.

3. The device of claim 1 wherein the transducer is a kinetic energy harvester.

4. The device of claim 3 wherein the transducer is a piezoelectric transducer with a cantilevered beam configuration.

5. The device of claim 3 wherein the transducer is adapted for operation in a frequency range associated with the activity.

6. The device of claim 1 wherein the transducer comprises two or three orthogonal transducers providing multi-axial electric signals that comprise identifying features associated with directions of the activity.

7. The device of claim 1 wherein the consecutive time intervals are fixed length time intervals, each between 1 and 30 seconds in length.

8. The device of claim 1 wherein the device is in communication with a remote computing device configured to receive the activity pulse and to determine the activity classification from the activity pulse.

9. The device of claim 1 , wherein the activity pulse is an unmodulated short burst of voltage with an amplitude that is indicative of a total power stored over a respective time interval.

10. A system for classifying an activity, the system comprising:
an activity monitoring device that comprises:
a transducer that generates electric power from the activity;
an energy store that stores the electric power over consecutive time intervals as stored energy; and
a transmitter that periodically transmits the stored energy as an activity pulse indicative of an activity classification; and

a remote computing device in communication with the activity monitoring device, the remote computing device comprising:
a receiver for receiving the activity pulse; and
a processor with a memory having instructions for determining the activity classification from the activity pulse.

11. The system of claim 10 wherein the processor determines the activity classification based on Bayesian decision theory.

12. The system of claim 10 wherein the processor determines the activity classification based on the mean power or the power distribution of the activity pulse.

13. The system of claim 10 wherein the processor, responsive to the activity classification, outputs a control signal.

14. A method for monitoring an activity, the method comprising:
harvesting kinetic energy from the activity;
storing the harvested energy over consecutive time intervals as stored harvested energy; and
transmitting the stored harvested energy as an activity pulse indicative of an activity classification.

15. The method of claim 14 further comprising:
receiving the activity pulse;
determining the activity classification from the activity pulse; and
outputting the determined activity classification.

16. The method of claim 15 wherein the determining comprises:
determining a statistical parameter of the activity pulse;
comparing the determined statistical parameter with a saved parameter; and
responsive to the comparing, classifying the activity.

17. The method of claim 16 wherein the statistical parameter is a power distribution over a time interval.

18. The method of claim 16 wherein the statistical parameter is a mean power of the activity pulse over a time interval.

19. The method of claim 17 wherein the time interval is between 1 and 20 seconds.

20. The method of claim 15 wherein the determining is based on Bayesian decision theory.

21. The method of claim 16 wherein the method further comprises determining the saved parameter.

22. The method of claim 15 wherein the determined activity classification is output to a portable device.

Assignees

• Nat Ict Australia Ltd

Inventors

• Seneviratne Aruna
• Khalifa Sara
• Hassan Mahbub

Classifications

• A61B5/1118 Primary

  Determining activity level · CPC title

• A61B2560/0214

  of power generation or supply · CPC title

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• A61B5/7264

  Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems · CPC title

• A61B5/6895

  Sport equipment · CPC title