Determination and presentation of customized notifications

Patent metadata

Field	Value
Publication number	US-11850460-B2
Application number	US-202117148435-A
Country	US
Kind code	B2
Filing date	Jan 13, 2021
Priority date	Jun 2, 2017
Publication date	Dec 26, 2023
Grant date	Dec 26, 2023

Abstract

Notifications for instructing user behavior can be determined and presented when appropriate. Historical fitness data and current fitness data are accessed. This data is used to determine whether a user fitness goal is likely to be achieved. If not, a notification may be determined and presented at a user device.

First claim

What is claimed is:

1. One or more non-transitory computer-readable media comprising computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
accessing historical fitness data that was tracked by a fitness application of a user device during a plurality of periods that together correspond to a historical period;
and during a current period:
collecting current fitness data based on activities tracked by the fitness application during the current period, the current fitness data corresponding to a user fitness goal;
determining a coaching notification based at least in part on a comparison of the historical fitness data and the current fitness data, the coaching notification identifying the user fitness goal and including a suggested action for achieving the user fitness goal prior to a conclusion of the current period; and
providing the coaching notification for presentation at the user device.

2. The one or more non-transitory computer-readable media of claim 1 , wherein the user device is a wearable user device, and collecting the current fitness data comprises collecting the current fitness data when the wearable user device is in a worn state.

3. The one or more non-transitory computer-readable media of claim 1 , wherein determining the coaching notification comprises determining, based at least in part on the historical fitness data and the current fitness data, whether a probability threshold has been met, the probability threshold representing a likelihood that the user fitness goal will be achieved prior to the conclusion of the current period.

4. The one or more non-transitory computer-readable media of claim 3 , wherein the computer-executable instructions further cause the one or more processors to perform operations comprising, in accordance with a determination that the probability threshold has been met, refraining from determining and providing the coaching notification.

5. The one or more non-transitory computer-readable media of claim 3 , wherein providing the coaching notification for presentation at the user device comprises providing the coaching notification for presentation at the user device in accordance with a determination that the probability threshold has not been met.

6. The one or more non-transitory computer-readable media of claim 3 , wherein determining whether the probability threshold has been met is performed at a first time, and wherein the computer-executable instructions further cause the one or more processors to perform operations comprising:
accessing additional fitness data received by the user device and tracked by the fitness application during an additional period;
determining, at a second later time, whether the probability threshold has been met at the second later time;
in accordance with a determination that the probability threshold has not been met at the second later time, determining a different coaching notification based at least in part on the additional fitness data; and
providing the different coaching notification for presentation at the user device.

7. The one or more non-transitory computer-readable media of claim 1 , wherein the user fitness goal is one of a plurality of user fitness goals comprising a stand goal, a caloric burn goal, and a move goal.

8. The one or more non-transitory computer-readable media of claim 1 , wherein the suggested action identifies an activity and an amount of time for performing the activity prior to the conclusion of the current period.

9. A computer-implemented method, comprising:
accessing historical fitness data that was tracked by a fitness application of a user device during a plurality of periods that together correspond to a historical period; and
during a current period:
collecting current fitness data based on activities tracked by the fitness application during the current period, the current fitness data corresponding to a user fitness goal;
determining a coaching notification based at least in part on a comparison of the historical fitness data and the current fitness data, the coaching notification identifying the user fitness goal and including a suggested action for achieving the user fitness goal prior to a conclusion of the current period; and
providing the coaching notification for presentation at the user device.

10. The computer-implemented method of claim 9 , wherein the user device is a wearable user device, and collecting the current fitness data comprises collecting the current fitness data when the wearable user device is in a worn state.

11. The computer-implemented method of claim 9 , wherein determining the coaching notification comprises determining, based at least in part on the historical fitness data and the current fitness data, whether a probability threshold has been met, the probability threshold representing a likelihood that the user fitness goal will be achieved prior to the conclusion of the current period.

12. The computer-implemented method of claim 11 , further comprising, in accordance with a determination that the probability threshold has been met, refraining from determining and providing the coaching notification.

13. The computer-implemented method of claim 11 , wherein providing the coaching notification for presentation at the user device comprises providing the coaching notification for presentation at the user device in accordance with a determination that the probability threshold has not been met.

14. The computer-implemented method of claim 11 , wherein determining whether the probability threshold has been met is performed at a first time, and wherein the method further comprises:
accessing additional fitness data received by the user device and tracked by the fitness application during an additional period;
determining, at a second later time, whether the probability threshold has been met at the second later time;
in accordance with a determination that the probability threshold has not been met at the second later time, determining a different coaching notification based at least in part on the additional fitness data; and
providing the different coaching notification for presentation at the user device.

15. The computer-implemented method of claim 9 , wherein the user fitness goal is one of a plurality of user fitness goals comprising a stand goal, a caloric burn goal, and a move goal.

16. A user device, comprising:
a memory comprising computer-executable instructions; and
a processor communicatively coupled with the memory and configured to execute the computer-executable instructions to at least:
access historical fitness data that was tracked by a fitness application of the user device during a plurality of periods that together correspond to a historical period; and
during a current period:
collect current fitness data based on activities tracked by the fitness application during the current period, the current fitness data corresponding to a user fitness goal;
determine a coaching notification based at least in part on a comparison of the historical fitness data and the current fitness data, the coaching notification identifying the user fitness goal and including a suggested action for achieving the user fitness goal prior to a conclusion of the current period; and
provide the coaching notification for presentation at the user device.

17. The user device of claim 16 , wherein the user device is a wearable user device, and collecting the current fitness data comprises collecting the current fitness data wh

Assignees

• Apple Inc

Inventors

• Blahnik Jay Kriz
• Thompson Aaron P
• Clark David S
• Arney Julie A
• Drell Brian R
• Avery Keith P
• Lynch Kevin M

Classifications

• A63B24/0062 Primary

  Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance · CPC title

• A63B24/0075

  Means for generating exercise programmes or schemes, e.g. computerized virtual trainer, e.g. using expert databases · CPC title

• G16H20/30 Primary

  relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising · CPC title

• H04L67/55

  Push-based network services · CPC title

• H04W68/04

  multi-step notification using statistical or historical mobility data · CPC title