Pacing activity data of a user

• US 10,117,600 B2
• Filed: 09/02/2014
• Issued: 11/06/2018
• Est. Priority Date: 04/15/2014
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Keen, Daniel S., Blahnik, Jay C., Kapoor, Gaurav, Siracusa, Michael R.
• Primary Examiner(s): Abouelela, May
• Application Number:
  US14/475,417
• Publication Number:
  US 20160058331A1
• Time in Patent Office: 1,526 Days
• Field of Search: 600300, 600301, 600587, 600595, 700 91
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• 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 2209/482 Application
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57
• CPC Class Codes: G06F 9/4843 by program, e.g. task dispatcher, supervisor, operating system
• CPC Class Codes: G06F 9/4893 taking into account power or heat criteria power management in computers in general G06F1/3203; thermal management in computers in general G06F1/206
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

Pacer activity data of a user may be managed. For example, historical activity data of a user corresponding to a particular time of a day prior to a current day may be received. Additionally, a user interface configured to display an activity goal of the user may be generated and the user interface may be provided for presentation. In some aspects, the user interface may be configured to display a first indicator that identifies cumulative progress towards the activity goal and a second indicator that identifies predicted cumulative progress towards the activity goal. The cumulative progress may be calculated based on monitored activity from a start of the current day to the particular time of the current day and the predicted cumulative progress may be calculated based on the received historical activity data corresponding to the particular time of the day prior to the current day.

Claims

1. A system, comprising:

a memory configured to store computer-executable instructions; and

a processor in communication with the memory configured to execute the computer-executable instructions to at least;

determine a predicted amount of activity of a user for at least one interval of a time period based at least in part on historical activity data of the user;

identify an activity goal of the user for the time period;

collect current activity data of the user from an activity tracking device, for a current interval of the time period;

generate a pace element to represent the predicted amount of activity data of the user for the current interval of the time period; and

provide a user interface that presents the pace element for the user with respect to the collected current activity data as at least a portion of the activity goal for the time period, wherein the pace element is configured to move on the user interface as the predicted amount of activity of the user changes for the current interval of the time period.

2. The system of claim 1, wherein the activity data is tracked cumulatively.

3. The system of claim 1, wherein the predicted amount of activity is based at least in part on a probability that the user will meet a threshold activity level during the at least one interval.

4. The system of claim 1, wherein the at least one interval comprises the current interval.

5. The system of claim 1, wherein the predicted amount of activity is based at least in part on historical activity data of the user.

6. The system of claim 1, wherein the at least one interval or the current interval comprise an hour of time.

7. The system of claim 1, wherein the identified activity goal is received from the user.

8. The system of claim 1, wherein the current activity data is collected by the activity tracking device in communication with the processor and configured to provide the current activity data for storage in the memory.

9. The system of claim 1, wherein the processor is further configured to execute the computer-executable instructions to at least receive the current activity data from a computing device external to the system.

10. A computer-readable storage medium storing computer-executable instructions that, when executed by a processor, configure the processor to perform operations comprising:

receiving, from a data collecting device, activity data of a user, the activity data comprising historical activity data and current activity data;

identifying predicted activity data of the user for an interval of a time period, the predicted activity data based at least in part on the historical activity data;

receiving, from the user, an activity goal for the time period;

generating a pace element to represent the predicted activity data of the user for the current interval; and

generating a user interface configured to present the pace element for the user and the current activity data as separate indicators of portions of the activity goal for at least the interval of the time period, wherein the pace element is configured to move on the user interface as the predicted amount of activity of the user changes for the current interval of the time period.

11. The one or more computer-readable media of claim 10, wherein the data collecting device is configured to identify user activity of the user and generate the activity data based at least in part on the identified user activity.

12. The computer-readable medium of claim 10, wherein the operations further comprise:

providing the historical activity data to a service provider configured to determine a probability of an amount of activity for at least the time interval; and

receiving, from the service provider, the predicted activity data.

13. The computer-readable medium of claim 12, wherein the predicted activity data is based at least in part on the determined probability of the amount of activity for at least the time interval.

14. The computer-readable medium of claim 10, wherein the user interface is provided to the data collection device for presentation to the user.

15. A computer-implemented method, comprising:

receiving, by a computing system comprising a processor historical activity data of a user corresponding to a particular time of a day prior to a current day;

determining, by the processor, a predicted cumulative progress towards an activity goal of the user based at least in part on the historical activity data;

generating, by the processor, a user interface configured to display the activity goal of the user, the user interface further configured to display;

a progress indicator that identifies cumulative progress towards the activity goal, the cumulative progress calculated based at least in part on monitored activity from a start of the current day to the particular time of the current day; and

a pace indicator that identifies predicted cumulative progress towards the activity goal, the predicted cumulative progress calculated based at least in part on the received historical activity data corresponding to the particular time of the day prior to the current day, wherein the pace element is configured to move on the user interface as the predicted amount of activity of the user changes for the current interval of the time period; and

providing the user interface for presentation to a computing device of the user.

16. The computer-implemented method of claim 15, wherein the historical activity data comprises a number of calories burned.

17. The computer-implemented method of claim 15, wherein the user interface is configured to be presented as a bar or line.

18. The computer-implemented method of claim 15, wherein the user interface is configured to be presented as a circle or oval.