TECHNIQUES FOR PROVIDING INSIGHTS ACCORDING TO TAGS AND PHYSIOLOGICAL DATA

1 . (canceled)

2 . A method for physiological pattern recognition, comprising:

receiving physiological data associated with a user from a wearable device;

determining that at least one physiological parameter associated with the physiological data satisfies a physiological threshold associated with a pattern between the physiological threshold and a subset of taggable events of a plurality of taggable events defined within an application associated with the wearable device, wherein the pattern is associated with a temporal difference between a plurality of first timestamps associated with the at least one physiological parameter satisfying the physiological threshold and a plurality of second timestamps associated with a received tag;

identifying, based at least on the pattern, that the subset of taggable events of the plurality of taggable events indicates an activity in which the user engaged; and

causing a graphical user interface of a device running the application to display a prompt for the user to provide feedback associated with the subset of taggable events of the plurality of taggable events.

3 . The method of claim 2 , further comprising:

determining that the temporal difference between the plurality of first timestamps and the plurality of second timestamps associated with the received tag satisfies a temporal threshold, wherein identifying that the subset of taggable events of the plurality of taggable events indicates the activity is based at least in part on the temporal difference satisfying the temporal threshold.

4 . The method of claim 2 , wherein the received tag is selected by the user from a plurality of tags.

5 . The method of claim 2 , further comprising:

receiving, via the graphical user interface and based at least in part on prompting the user to provide the feedback, a confirmation that the subset of taggable events is related to the activity in which the user engaged.

6 . The method of claim 5 , further comprising:

receiving, via the graphical user interface, an indication of a tag associated with the activity in which the user engaged, wherein the tag is selected from a subset of tags displayed via the graphical user interface with the prompt, wherein the feedback comprises the received tag selected from the subset of tags.

7 . The method of claim 2 , further comprising:

determining the pattern between the physiological threshold and the subset of taggable events of the plurality of taggable events.

8 . The method of claim 2 , further comprising:

causing the graphical user interface of the device running the application to provide to the user an insight identifying a relationship between the activity in which the user engaged and a metric associated with the user based at least in part on the subset of taggable events of the plurality of taggable events.

9 . The method of claim 8 , wherein the relationship further comprises activity information indicating a type of the activity the user engaged in, timing information indicating a timestamp of the activity the user engaged in, location information indicating a locality of the activity the user engaged in, or any combination thereof that contributed to the metric associated with the user, and wherein the insight further comprises a recommendation for adjusting the metric associated with the user.

10 . The method of claim 2 , further comprising:

tracking a set of scores by monitoring one or more activities in which the user engaged and one or more identified tags provided to or selected by the user that contribute to the set of scores throughout a time interval;

updating the set of scores based at least in part on tracking a Readiness Score throughout the time interval; and

causing the graphical user interface of the device to output content based at least in part on updating the set of scores.

11 . The method of claim 2 , further comprising:

causing the graphical user interface of the device to display content within a time interval after receiving the feedback associated with the subset of taggable events of the plurality of taggable events, wherein the time interval is preconfigured or selected from a plurality of time intervals.

12 . The method of claim 2 , wherein the at least one physiological parameter associated with the physiological data comprises heart rate data associated with the user, heart rate variability data associated with the user, temperature data associated with the user, respiratory rate data associated with the user, blood oxygen data associated with the user, sleep data associated with the user, activity data associated with the user, or any combination thereof.

13 . An system for physiological pattern recognition, comprising:

a wearable device configured to acquire physiological data associated with a user;

a user device communicatively coupled with the wearable device, the user device configured to execute a health-related application associated with the wearable device; and

one or more processors communicatively coupled with the wearable device, the user device, or both, the one or more processors individually or collectively configured to:

receive the physiological data associated with the user from the wearable device;

determine that at least one physiological parameter associated with the physiological data satisfies a physiological threshold associated with a pattern between the physiological threshold and a subset of taggable events of a plurality of taggable events defined within an application associated with the wearable device, wherein the pattern is associated with a temporal difference between a plurality of first timestamps associated with the at least one physiological parameter satisfying the physiological threshold and a plurality of second timestamps associated with a received tag;

identify, based at least on the pattern, that the subset of taggable events of the plurality of taggable events indicate an activity in which the user engaged; and

cause a graphical user interface of the user device to display a prompt for the user to provide feedback associated with the subset of taggable events of the plurality of taggable events.

14 . The system of claim 13 , wherein the one or more processors are further configured to:

determine that the temporal difference between the plurality of first timestamps and the plurality of second timestamps associated with the received tag satisfies a temporal threshold.

15 . The system of claim 13 , wherein the received tag is selected by the user from a plurality of tags.

16 . The system of claim 13 , wherein the one or more processors are further configured to:

receive, via the graphical user interface and based at least in part on prompting the user to provide the feedback, a confirmation that the subset of taggable events is related to the activity in which the user engaged.

17 . The system of claim 13 , wherein the one or more processors are further configured to:

receive, via the graphical user interface, an indication of a tag associated with the activity in which the user engaged, wherein the tag is selected from a subset of tags displayed via the graphical user interface with the prompt, wherein the feedback comprises the received tag selected from the subset of tags.

18 . The system of claim 13 , wherein the one or more processors are further configured to:

determine the pattern between the physiological threshold and the subset of taggable events of the plurality of taggable events.

19 . The system of claim 13 , wherein the one or more processors are further configured to:

cause the graphical user interface of the user device to provide to the user an insight identifying a relationship between the activity in which the user engaged and a metric associated with the user based at least in part on the subset of taggable events of the plurality of taggable events.

20 . The system of claim 19 , wherein the relationship further comprises activity information indicating a type of the activity the user engaged in, timing information indicating a timestamp of the activity the user engaged in, location information indicating a locality of the activity the user engaged in, or any combination thereof that contributed to the metric associated with the user, and wherein the insight further comprises a recommendation for adjusting the metric associated with the user.

21 . A non-transitory computer-readable medium storing code for physiological pattern recognition, the code comprising instruction executable by one or more processors to:

receive physiological data associated with a user from a wearable device;

determine that at least one physiological parameter associated with the physiological data satisfies a physiological threshold associated with a pattern between the physiological threshold and a subset of taggable events of a plurality of taggable events defined within an application associated with the wearable device, wherein the pattern is associated with a temporal difference between a plurality of first timestamps associated with the at least one physiological parameter satisfying the physiological threshold and a plurality of second timestamps associated with a received tag;

identify, based at least on the pattern, that the subset of taggable events of the plurality of taggable events indicate an activity in which the user engaged; and

cause a graphical user interface of a device running the application to display a prompt for the user to provide feedback associated with the subset of taggable events of the plurality of taggable events.