Data tagging

• US 9,858,328 B2
• Filed: 07/17/2014
• Issued: 01/02/2018
• Est. Priority Date: 07/17/2014
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Verily Life Sciences LLC (Alphabet Inc.)
• Inventors: Gibson, David Andrew, Murphy, Mark
• Primary Examiner(s): MORRISON, JAY A
• Application Number:
  US14/334,126
• Publication Number:
  US 20160019283A1
• Time in Patent Office: 1,265 Days
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation

Abstract

A method for tagging and organizing data is provided. In one example, physiological data detected from a wearer of a wearable device is received and associated with a tag based, at least in art, on an input by the wearer. The input may be a state of the wearer, such as physical or mental state, or a rule. The collected physiological data may be organized based on the tag and, in some examples, on other types of received data, such as a wearer'"'"'s personal data. In other example methods, data may be stored in a database based on one or more tags associated with the data.

Claims

1. A method, comprising:

receiving, by a server from a wearable device, first physiological data detected by a wearable device, wherein the wearable device is configured to be mounted to a body surface of a wearer;

receiving, by the server, an input from the wearer;

associating, by the server, all or part of the first physiological data with a tag based, at least in part, on the input from the wearer;

organizing, by the server, the first physiological data based, at least in part, on the tag;

receiving, by the server from one or more other wearable devices, second physiological data related to one or more wearers of the one or more other wearable devices, wherein the second physiological data is associated with the tag;

receiving, by the server from the wearable device, third physiological data detected by the wearable device;

determining, by the server, a learned rule based, at least in part, on (i) a comparison of at least some of the third physiological data and the first physiological data associated with the tag and (ii) a comparison of at least some of the third physiological data and the second physiological data associated with the tag; and

associating, by the server, all or part of the third physiological data with the tag based on the learned rule.

2. The method of claim 1, wherein the tag is generated based, at least in part, on the input from the wearer.

3. The method of claim 1, wherein the input is a state of the wearer.

4. The method of claim 3, wherein the state comprises one or more of:

(a) a type of activity engaged in by the wearer, (b) a task performed by the wearer, (c) a health state of the wearer, (d) a physical state of the wearer, (e) a mental state of the wearer, or (f) a mood of the wearer.

5. The method of claim 1, wherein the input is a rule.

6. The method of claim 5, wherein the rule is based, at least in part, on a threshold value.

7. The method of claim 1, wherein the learned rule is further based, at least in part, on the input by the wearer.

8. The method of claim 1, wherein organizing the first physiological data comprises aggregating a plurality of physiological data detected from the wearer of the wearable device associated with the tag.

9. The method of claim 1, wherein the first physiological data comprises one or more of:

(a) a heart rate, (b) a respiration rate, (c) a body temperature, or (d) a level of perspiration.

10. The method of claim 1, further comprising:

associating, by the server, all or part of the second physiological data related to the one or more wearers of the one or more other wearable devices with the tag based, at least in part, on respective inputs from the one or more wearers; and

organizing, by the server, the second physiological data based, at least in part, on the tag.

11. The method of claim 10, wherein organizing the second physiological data comprises aggregating the second physiological data related to the one or more wearers based on the tag.

12. The method of claim 1, further comprising:

receiving, by the server, motion data associated with the wearer of the wearable device, wherein the motion data is detected synchronously with the first physiological data;

receiving, by the server, time-synchronization data that indicates a timing relationship between the motion data and the first physiological data; and

applying, by the server, the tag to the motion data based, at least in part, on the time-synchronization data.

13. The method of claim 12, wherein the motion data comprises one or more of:

(a) a speed of travel, (b) an altitude, (c) an acceleration, (d) a cadence of movement, (e) an intensity of movement, (f) a direction of travel, (g) an orientation, (h) a gravitational force, (i) an inertia, or (j) a rotation.

14. The method of claim 1, further comprising:

receiving, by the server, contextual data associated with the wearer of the wearable device, wherein the contextual data is detected synchronously with the first physiological data;

receiving, by the server, time-synchronization data that indicates a timing relationship between the contextual data and the first physiological data; and

applying, by the server, the tag to the contextual data based, at least in part, on the time-synchronization data.

15. The method of claim 14, wherein the contextual data comprises one or more of:

(a) a location of the wearer of the device, (b) an ambient light intensity, (c) an ambient temperature, (c) a time of day, (d) a mode of travel of the wearer of the device, or (e) a type of activity the wearer of the device is engaged in.

16. The method of claim 1, further comprising:

receiving, by the server, personal data associated with the wearer of the device; and

organizing, by the server, the first physiological data, based, at least in part, on the tag and the personal data.

17. The method of claim 16, wherein the personal data comprises one or more of:

(a) a height of the wearer of the device, (b) a weight of the wearer of the device, (c) an age of the wearer of the device;

(d) a gender of the wearer of the device;

(e) a race of the wearer of the device;

(f) a medical history of the wearer of the device;

or (g) an occupation of the wearer of the device.

18. The method of claim 1, wherein determining the learned rule comprises:

identifying one or more patterns of the first physiological data and the second physiological data;

determining that the third physiological data has the identified one or more patterns; and

determining the learned rule based on the third physiological data having the identified one or more patterns.

19. The method of claim 1, wherein the tag comprises a label or annotation, and wherein associating all or part of the first physiological data with the tag comprises storing the first physiological data in a database and applying the label or annotation to all or part of the stored first physiological data.

20. A method, comprising:

receiving, by a server, first physiological data detected by a wearable device;

receiving, by the server, an input from a wearer of the wearable device;

associating, by the server, all or part of the first physiological data with a tag based, at least in part, on the input from the wearer of the wearable device;

establishing, by the server, one or more groups based, at least in part, on the tag;

storing, by the server, the first physiological data associated with the tag in a database to indicate that all or part of the first physiological data associated with the tag is a member of the one or more groups;

receiving, by the server from one or more other wearable devices, second physiological data related to one or more wearers of the one or more other wearable devices, wherein the second physiological data is associated with the tag;

storing, by the server, the second physiological data associated with the tag in the database to indicate that all or part of the second physiological data associated with the tag is a member of the one or more groups;

receiving, by the server from the wearable device, third physiological data detected by the wearable device;

determining, by the server, a learned rule based, at least in part, on (i) a comparison of at least some of the third physiological data and at least some of the first physiological data associated with the tag and (ii) a comparison of at least some of the third physiological data and at least some of the second physiological data associated with the tag;

associating, by the server, at least some of the third physiological data with the tag based on the learned rule; and

storing, by the server, the third physiological data associated with the tag in the database to indicate that all or part of the third physiological data associated with the tag is a member of the one or more groups.

21. The method of claim 20, wherein the group is further based, at least in part, on personal data of the wearer of the device.

22. The method of claim 20, further comprising:

receiving, by the server, motion data associated with the wearer of the wearable device, wherein the motion data is detected synchronously with the first physiological data;

receiving, by the server, time-synchronization data that indicates a timing relationship between the motion data and the first physiological data;

associating, by the server, all or part of the motion data with the tag based, at least in part, on the time-synchronization data; and

storing, by the server, the motion data in the database to indicate that all or part of the motion data is a member of the one or more groups.

23. The method of claim 20, further comprising:

receiving, by the server, contextual data associated with the wearer of the device, wherein the contextual data is detected synchronously with the first physiological data;

receiving, by the server, time-synchronization data that indicates a timing relationship between the contextual data and the first physiological data;

associating, by the server, all or part of the contextual data with the tag based, at least in part, on the time-synchronization data; and

storing, by the server, the contextual data in the database to indicate that all or part of the contextual data is a member of the one or more groups.

24. A method, comprising:

receiving, by a server, first physiological data from a wearable device;

receiving, by the server, an input from a wearer of the wearable device;

applying, by the server, a tag to all or a portion of the first physiological data based on the input from the wearer of the wearable device;

receiving, by the server from one or more other wearable devices, second physiological data related to one or more wearers of the one or more other wearable devices, wherein the tag is applied to the second physiological data;

receiving, by the server, third physiological data from the wearable device;

determining, by the server, a learned rule based, at least in part, on (i) a comparison between at least some of the third physiological data and at least some of the first physiological data having the applied tag and (ii) a comparison of at least some of the third physiological data and at least some of the second physiological data having the applied tag; and

determining, by the server, whether to apply the tag to all or a portion of the third physiological data based, at least in part, on the learned rule.

25. The method of claim 24, wherein the tag is generated based, at least in part, on the input from the wearer.

26. The method of claim 24, wherein the input is a state of the wearer, and wherein the state comprises one or more of:

(a) a type of activity engaged in by the wearer, (b) a task performed by the wearer, (c) a health state of the wearer, (d) a physical state of the wearer, (e) a mental state of the wearer, or (f) a mood of the wearer.