Health and Fitness Monitoring via Long-Term Temporal Analysis of Biometric Data

• US 20160217565A1
• Filed: 01/28/2015
• Published: 07/28/2016
• Est. Priority Date: 01/28/2015
• Status: Abandoned Application

• Current Assignee: Sensory Incorporated
• Original Assignee: Sensory Incorporated
• Inventors: Mozer, Todd F., Pellom, Bryan
• Application Number:
  US14/607,833
• Publication Number:
  US 20160217565A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/1176 Recognition of faces
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G06F 16/51 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06T 2207/30201 Face
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G06V 40/16 Human faces, e.g. facial parts, sketches or expressions

Abstract

Techniques for performing health and fitness monitoring via long-term temporal analysis of biometric data are provided. In one embodiment, a computing device can receive biometric data for a user that is captured via a biometric authentication system. The computing device can further extract one or more features from the biometric data pertaining to the user'"'"'s health, fitness, or personal appearance and can analyze the one or more features in view of previous features extracted from previous biometric data for the user. The computing device can then determine a health or fitness status (or change in status) of the user based on that analysis.

Claims

1. A method comprising:

receiving, by a computing device, biometric data for a user captured via a biometric authentication system;

extracting, by the computing device, one or more features from the biometric data pertaining to the user'"'"'s health, fitness, or personal appearance;

analyzing, by the computing device, the one or more features in view of previous features extracted from previous biometric data for the user; and

determining, by the computing device, a health or fitness status or change in status of the user based on the analyzing.

2. The method of claim 1 further comprising:

storing the one or more features in a database associated with the user, the database containing the previous features extracted from the previous biometric data; and

updating a health or fitness profile for the user based on the determined status or change in status.

3. The method of claim 1 wherein the biometric data includes face data.

4. The method of claim 3 wherein the one or more features extracted from the biometric data pertain to coloring, texture, size, or quantity.

5. The method of claim 3 wherein the one or more features extracted from the biometric data include features that may indicate an illness or a potential medical condition.

6. The method of claim 5 wherein the features that may indicate an illness or potential medical condition include color or shape of the user'"'"'s nose, ears, eyes, or mouth, skin color irregularities, facial shape irregularities, appearance of new markings, shapes of such markings, and timing and rapidity of onset of such markings.

7. The method of claim 3 wherein the one or more features extracted from the biometric data include features that may indicate a lack of sleep.

8. The method of claim 7 wherein the features that may indicate a lack of sleep include color or shape around the user'"'"'s eye regions.

9. The method of claim 3 wherein the one or more features extracted from the biometric data include features that may indicate an increase or decrease in weight.

10. The method of claim 9 wherein the features that may indicate an increase or decrease include chin and cheek size.

11. The method of claim 3 wherein the one or more features extracted from the biometric data include features pertaining to the user'"'"'s aesthetic appearance.

12. The method of claim 11 wherein the features pertaining to the user'"'"'s aesthetic appearance include hair length, wrinkles, the absence or presence of makeup, and facial symmetry.

13. The method of claim 3 wherein the face data is based on ultraviolet or infrared images of the user'"'"'s face.

14. The method of claim 3 wherein the face data is based on three dimensional images of the user'"'"'s face.

15. The method of claim 3 wherein the biometric data further includes voice data.

16. The method of claim 1 further comprising:

applying the determined health or fitness status or change in status of the user to one or more predefined criteria or rules; and

if the one or more predefined criteria or rules are met, automatically performing an associated action.

17. The method of claim 16 wherein the associated action comprises alerting the user or a third party of the determined status or change in status.

18. The method of claim 17 wherein the associated action further comprises providing a recommendation to the user.

19. The method of claim 16 wherein the one or more predefined criteria or rules are configurable by the user.

20. The method of claim 1 wherein the computing device is smartphone or tablet, and wherein the biometric authentication system captures the biometric data from the user for authentication purposes each time the user attempts gain access to the device or certain resources on the device.

21. A non-transitory computer readable medium having stored thereon program code executable by a processor, the program code comprising:

code that causes the processor to receive biometric data for a user captured via a biometric authentication system;

code that causes the processor to extract one or more features from the biometric data pertaining to the user'"'"'s health, fitness, or personal appearance;

code that causes the processor to analyze the one or more features in view of previous features extracted from previous biometric data for the user; and

code that causes the processor to determine a health or fitness status or change in status of the user based on the analyzing.

22. A mobile computing device comprising:

a biometric authentication subsystem; and

a health analysis subsystem,

wherein the health analysis subsystem is configured to;

receive biometric data for a user, the biometric data being captured by the biometric authentication subsystem at a time of user authentication;

extract one or more features from the biometric data pertaining to the user'"'"'s health, fitness, or personal appearance;

analyze the one or more features in view of previous features extracted from previous biometric data for the user; and

determine a health or fitness status or change in status of the user based on the analyzing.