Heartrate tracking techniques

Patent metadata

Field	Value
Publication number	US-10874313-B2
Application number	US-201715843623-A
Country	US
Kind code	B2
Filing date	Dec 15, 2017
Priority date	Jun 4, 2017
Publication date	Dec 29, 2020
Grant date	Dec 29, 2020

Abstract

Embodiments of the present disclosure can provide systems, methods, and computer-readable medium for tracking the heartrate of a user using different techniques associated with different contexts. For example, motion of a user wearing a wearable device can be tracked using at least first sensors of the one or more sensors. The physical state of the user can also be tracked using at least second sensors of the one or more sensors. In some cases it can be determines whether an application of the wearable device has been launched. Additionally, an activity category of the user can be determined based at least in part on the motion of the user, the physical state of the user, and/or whether the application has been launched. Heartrate data of the user can be collected, and the heartrate data can be categorized based at least in part on the determined category.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
detecting, by a wearable computing device, a launch of a first application comprising a first application user interface;
detecting, by the wearable computing device, a first user input on the first application user interface corresponding to a first setting criteria;
collecting, by the wearable computing device, first heartrate metrics using a first technique during a first period;
tracking, by the wearable computing device, the first heartrate metrics according to the first setting criteria during the first period;
detecting, by the wearable computing device, a launch of a second application comprising a second application user interface;
detecting, by the wearable computing device, a second user input on the second application user interface corresponding to a second setting criteria different from the first setting criteria;
collecting, by the wearable computing device, second heartrate metrics using a second technique during a second period; and
tracking, by the wearable computing device, the second heartrate metrics according to the second setting criteria during the second period.

2. The computer-implemented method of claim 1 , wherein the first setting criteria are for completing a first application session associated with the first application, and wherein the second setting criteria are for completing a second application session associated with the second application.

3. The computer-implemented method of claim 2 , wherein the first heartrate metrics are tracked according to the first setting criteria during the first period based at least in part on initiation of the first application session.

4. The computer-implemented method of claim 2 , wherein the first period corresponds to the first application session, and wherein the second period corresponds to the second application session.

5. The computer-implemented method of claim 1 , wherein the first and second heartrate metrics are tracked differently during each of the first application session and the second application session, respectively.

6. The computer-implemented method of claim 1 , wherein the first technique is determined based at least in part on a first context of the first application, and the second technique is determined based at least in part on a second context of the second application.

7. A non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by a processor, configure the processor to perform operations comprising:
detecting first category of activity;
determining a first collection technique for collecting first heartrate metrics for the first category of activity;
collecting the first heartrate metrics according to the first collection technique during a first period;
detecting a second category of activity;
determining a second collection technique different from the first collection technique for collecting second heartrate metrics for the second category of activity;
collecting the second heartrate metrics according to the second collection technique during a second period; and
tracking the first heartrate metrics and the second heartrate metrics for the first and second periods, respectively.

8. The non-transitory computer-readable storage medium of claim 7 , wherein the first and second heartrate metrics are tracked differently during each of the first period and the second period, respectively.

9. The non-transitory computer-readable storage medium of claim 7 , wherein the first category of activity comprises a first setting criteria, and wherein the second category of activity comprises a second setting criteria.

10. The non-transitory computer-storage readable medium of claim 9 , wherein the first heartrate metrics are further collected according to the first setting criteria, and wherein the second heartrate metrics are further collected according to the second setting criteria.

11. The non-transitory computer-readable storage medium of claim 9 , wherein the first setting criteria are for completing a first session associated with a first application, and wherein the second setting criteria are for completing a second session associated with a second application.

12. The non-transitory computer-storage readable storage medium of claim 11 , further comprising detecting initiation of the second session, and tracking the second heartrate metrics according to the second setting criteria during the second period in response to the detection of the initiation of the second session.

13. The non-transitory computer-storage readable storage medium of claim 7 , wherein the first collection technique comprises utilizing first sensors of a wearable computing device, and wherein the second collection technique comprises utilizing second sensors of the wearable computing device.

14. The non-transitory computer-readable storage medium of claim 13 , wherein the wearable computing device comprises a watch capable of collecting biometric data of a user.

15. The non-transitory computer-readable storage medium of claim 7 , wherein the first collection technique is determined based at least in part on a first type of the first category of activity, and wherein the second collection technique is determined based at least in part on a second type of the second category of activity.

16. A wearable device, comprising:
one or more memories configured to store computer-executable instructions;
one or more sensors configured to sense biometric data of a user;
one or more processors in communication with the one or more memories and the one or more sensors, the one or more processors configured to execute the computer-executable instructions to at least:
detect a launch of a first application comprising a first application user interface;
detect a first user input on the first application user interface corresponding to a first setting criteria;
collect first heartrate metrics using a first technique during a first period;
track the first heartrate metrics according to the first setting criteria during the first period;
detect a launch of a second application comprising a second application user interface;
detect a second user input on the second application user interface corresponding to a second setting criteria different from the first setting criteria;
collect second heartrate metrics using a second technique during a second period; and
track the second heartrate metrics according to the second setting criteria during the second period.

17. The wearable device of claim 16 , wherein the first setting criteria are for completing a first application session associated with the first application, and wherein the second setting criteria are for completing a second application session associated with the second application.

18. The wearable device of claim 17 , wherein the first heartrate metrics are tracked according to the first setting criteria during the first period based at least in part on initiation of the first application session, and wherein the first period corresponds to the first application session, and wherein the second period corresponds to the second application session.

19. The wearable device of claim 17 , wherein the first and second heartrate metrics are tracked differently during each of the first application session and the second application session, respectively.

20. The wearable device of claim 16 , wherein the first technique is determined based at least in part on a first cont

Assignees

• Apple Inc

Inventors

• Schroeder Christian
• Padmanabhan Divya
• Klaassen Erno H
• Doll Evan R
• Shapiro Ian R
• Blahnik Jay Kriz
• Brittain Roxanne B
• Waydo Stephen J
• Kibuule Joefrey S
• Vanhattum Alexa

Classifications

• G16H10/60

  for patient-specific data, e.g. for electronic patient records · CPC title

• A61B5/1123

  Discriminating type of movement, e.g. walking or running (A61B5/1116, A61B5/112 take precedence) · CPC title

• A61B5/7475

  User input or interface means, e.g. keyboard, pointing device, joystick · CPC title

• A61B5/681

  Wristwatch-type devices · CPC title

• A61B5/7435

  Displaying user selection data, e.g. icons in a graphical user interface · CPC title