IP Library Granted Patent US 9,298,883
Granted Patent B2
US 9,298,883 · App. 14/454,913 · Granted Mar 29, 2016

Capturing data for individual physiological monitoring

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Quick Facts
Patent No.
US 9,298,883
App. No.
14/454,913
Filed
Aug 8, 2014
Granted
Mar 29, 2016
Kind
B2
Art Unit
2665
USPC
382/128
Abstract

A method for capturing images of an individual to determine wellness for such individual, including establishing baseline physiological data for the individual, and baseline capture condition data for the individual; detecting and identifying the presence of the individual in the image capture environment; providing semantic data associated with the individual; capturing one or more images of the individual during a capture event and determining the capture conditions present during the capture event; using the event capture conditions, the baseline physiological data for the individual and the baseline capture condition data to determine the acceptability of event captured images; and using the acceptable images and the semantic data in determining the wellness of the individual.

Claims (36)

1. A method comprising:

receiving, via a processor, an image of a subject;

performing, via the processor, an image normalization to image data in the received image;

determining, via the processor, trends and triggers in normalized image data;

querying a wellness database based on the determined trends and triggers; and

determining, based on the query results and the determined trends and triggers, possible causes and interventions of identified health issues.

2. The method of claim 1 , wherein the image normalization comprises measuring normalization factors.

3. The method of claim 2 , wherein the image normalization comprises validating specific normalization data.

4. The method of claim 3 , wherein the image normalization comprises calculating normalized image data from normalization transforms.

5. The method of claim 1 , further comprising calculating, via the processor, wellness factors.

6. The method of claim 1 , further comprising performing a false positive reduction process.

7. The method of claim 6 , wherein the false positive reduction process comprises utilizing semantic data to identify false positives.

8. The method of claim 1 , further comprising accumulating, via the processor, a record from two or more images of the subject and condition data associated with two or more acceptable captured images, wherein the record provides a visual history of the subject over a time period with the images in the visual history to enable detection of changes in physiological conditions of the subject over the time period.

9. A system comprising:

one or more processors configured to:

receive a subject image;

perform an image normalization to image data in the received subject image;

determine trends and triggers in normalized image data;

query a wellness database based on the determined trends and triggers; and

determine, based on the query results and the determined trends and triggers, possible causes and interventions of identified health issues.

10. The system of claim 9 , wherein the image normalization comprises measuring normalization factors.

11. The system of claim 10 , wherein the image normalization comprises validating specific normalization data.

12. The system of claim 11 , wherein the image normalization comprises calculating normalized image data from normalization transforms.

13. The system of claim 9 , wherein the one or more processors are further configured to calculate wellness factors.

14. The system of claim 9 , wherein the one or more processors are further configured to perform a false positive reduction process.

15. A non-transitory computer-readable medium having instructions stored thereon, the instructions comprising:

instructions to receive a subject image;

instructions to perform an image normalization to image data in the received subject image;

instructions to determine trends and triggers in normalized image data;

instructions to query a wellness database based on the determined trends and triggers; and

instructions to determine, based on the query results and the determined trends and triggers, possible causes and interventions of identified health issues.

16. The non-transitory computer-readable medium of claim 15 , wherein the image normalization comprises measuring normalization factors.

17. The non-transitory computer-readable medium of claim 16 , wherein the image normalization comprises validating specific normalization data.

18. The non-transitory computer-readable medium of claim 17 , wherein the image normalization comprises calculating normalized image data from normalization transforms.

19. The non-transitory computer-readable medium of claim 15 , wherein the instructions further comprise instructions to calculate wellness factors.

20. The non-transitory computer-readable medium of claim 15 , wherein the instructions further comprise instructions to perform a false positive reduction process.

Assignments (1)
RELEASE OF SECURITY INTEREST Recorded Aug 15, 2023
From: INTELLECTUAL VENTURES FUND 83 LLC
To: MONUMENT PEAK VENTURES, LLC
Reel/Frame 064599/0304 →