IP Library › Granted Patent US 12,220,223
Granted Patent B2
US 12,220,223 · App. 18/159,972 · Granted Feb 11, 2025

Shoe-based analysis system

Inventors: Aaron Jake Merrell (Orem, UT); Anton E. Bowden (Lindon, UT); David T. Fullwood (Lindon, UT); Matthew Kirk Seeley (Spanish Fork, UT); Gavin Quinn Collins (Farmington, UT); Parker Gary Rosquist (Bluffdale, UT); William Fredrick Christensen (Provo, UT)
Assignee: Nano Composite Products, Inc.
A61B5/1038A43B3/34A43B7/24A61B5/112A61B5/486A61B5/6807A61B5/7405A61B5/742A61B2562/0261
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Quick Facts
Patent No.
US 12,220,223
App. No.
18/159,972
Granted
Feb 11, 2025
Kind
B2
Abstract

In one example, an apparatus includes a shoe having a sole with at least a portion of foam replaced with a composite polymeric foam, at least one probe disposed in the composite polymeric foam, a voltage detector coupled to the probe that detects voltage data generated by the composite polymeric foam, and a transformation module that converts voltage data generated by the composite polymeric foam in response to deformation events into GRF, acceleration, or pressure data. In another example, a method includes receiving voltage data produced by composite polymeric foam, the composite polymeric foam providing support and padding in the sole of a shoe, converting the voltage data to force data, comparing the force data to a profile, and transmitting, when the force data fails to fall within a threshold of the profile, a feedback signal to a physical feedback device, the feedback signal indicating a difference with the profile.

Claims (41)

1. A method comprising:

receiving first data and second data for a series of compression events of a region of self-sensing composite polymeric foam, the self-sensing composite polymeric foam being used as padding in a shoe, the first data being based on a decrease in electrical resistance caused by first compression events of the self-sensing composite polymeric foam and the second data being based on an electric potential generated by the self-sensing composite polymeric foam caused by second compression events; and

providing real-time physical feedback for the series of compression events by:

converting the first data to pressure data;

converting the second data to force data;

comparing the pressure data and the force data to a profile; and

providing feedback based on a result of the comparing.

2. The method of claim 1 , wherein the first compression events have respective durations that are longer than respective durations of the second compression events.

3. The method of claim 1 , wherein converting the first data to the pressure data includes providing the first data to a machine learning algorithm trained to generate the pressure data from the first data.

4. The method of claim 1 , wherein converting the second data to force data includes providing the second data to a machine learning algorithm trained to generate the force data from the second data.

5. The method of claim 1 , wherein converting the first data to the pressure data and the second data to the force data includes providing the series of compression events to a machine learning algorithm trained to generate the force data and the pressure data from the series of compression events.

6. The method of claim 1 , wherein the series of compression events are caused by a foot, the first data and the second data including data for different points on the foot for each compression event, and the profile reflects the different points on the foot.

7. The method of claim 1 , wherein providing the feedback based on the result of the comparing includes providing an image that is based on the comparing to a display.

8. The method of claim 1 , wherein providing the feedback based on the result of the comparing includes providing a series of images based on the comparing to a display.

9. The method of claim 1 , further comprising: storing the pressure data and the force data for the series of compression events.

10. The method of claim 1 , wherein the result of the comparing indicates that a compression event of the series of compression events falls within a threshold of the profile or that the compression event of the series of compression events falls outside the threshold.

11. The method of claim 1 , wherein the profile is a series of previously stored compression events.

12. A system comprising:

padding for a sole of a shoe, the padding including at least one region of self-sensing composite polymeric foam;

a controller; and

memory storing instructions that, when executed by the controller, causes the controller to be configured to:

receive first data and second data for a series of compression events of the at least one region of the self-sensing composite polymeric foam, the first data being based on a decrease in electrical resistance in response to first compression events of the series of compression events and the second data being based on an electric potential generated by the self-sensing composite polymeric foam in response to second compression events of the series of compression events,

convert the first data to pressure data,

convert the second data to force data,

compare the pressure data and the force data to a profile, and

provide feedback based on a result of the comparing.

13. The system of claim 12 , wherein the profile is an activity profile and the feedback is physical feedback provided in real-time.

14. The system of claim 12 , wherein the result of the comparing indicates whether or not a compression event of the series of compression events falls within a threshold of the profile.

15. The system of claim 12 , wherein the series of compression events are caused by a foot, the first data and the second data including data from different points on the foot for each compression event, and the profile reflects the different points on the foot.

16. The system of claim 12 , wherein the system includes a computing device and the controller includes a microcontroller in the shoe and a processor of the computing device, wherein the microcontroller is configured to:

convert the first data to the pressure data,

convert the second data to the force data, and

send the pressure data and the force data to the computing device, and

wherein the processor of the computing device is configured to:

store the pressure data and the force data,

compare the pressure data and the force data to the profile, and

provide the feedback based on the result of the comparing.

17. The system of claim 12 , wherein converting the first data to the pressure data and the second data to the force data includes providing the series of compression events to a machine learning algorithm trained to generate the force data and the pressure data from the series of compression events.

18. The system of claim 12 , wherein providing the feedback based on the result of the comparing includes providing an image indicating a difference with the profile to a display.

19. The system of claim 12 , wherein providing the feedback based on the result of the comparing includes providing a series of images indicating a difference with the profile to a display.

20. The system of claim 12 , wherein the force data represents a strain rate and total strain.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 26, 2023
From: MERRELL, AARON JAKE; BOWDEN, ANTON E.; FULLWOOD, DAVID T.; SEELEY, MATTHEW KIRK; COLLINS, GAVIN QUINN; ROSQUIST, PARKER GARY; CHRISTENSEN, WILLIAM FREDRICK
To: BRIGHAM YOUNG UNIVERSITY
Reel/Frame 065031/0817 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 26, 2023
From: BRIGHAM YOUNG UNIVERSITY
To: NANO COMPOSITE PRODUCTS, INC.
Reel/Frame 065031/0838 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 26, 2023
From: BRIGHAM YOUNG UNIVERSITY
To: NANO COMPOSITE PRODUCTS, INC.
Reel/Frame 065031/0846 →
Continuity (4)
Continuation 16562808 · Sep 6, 2019
Continuation 14990763 · Jan 7, 2016
Provisional Application 62100851 · Jan 7, 2015
Related Publication 20230309858A1 · Oct 5, 2023
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