Efficient wellness measurement in ear-wearable devices

1. A method comprising:

determining, by one or more processing circuits, based on data generated by a first set of sensors powered by one or more batteries of one or more ear-wearable devices, that a user of the one or more ear-wearable device is currently in an environment that includes human-directed communication signals, wherein a second set of sensors includes at least one sensor that is not included in the first set of sensors;

in response to determining that the user is currently in the environment that includes human-directed communication signals, activating, by the one or more processing circuits, the second set of sensors and/or activating, by the one or more processing circuits, wireless streaming of data associated with the second set of sensors;

determining, by the one or more processing circuits, based on the data associated with the second set of sensors, a measure of complexity of social engagement of the user; and

generating, by the one or more processing circuits, a visual representation of the measure of complexity of social engagement of the user.

2. The method of claim 1 , wherein the method further comprises generating, by the one or more processing circuits, a notification message that provides a tip on how to improve the complexity of social engagement of the user.

3. The method of claim 1 , wherein the visual representation of the measure of complexity of social engagement of the user comprises a visual representation of a comparison of the measure of complexity of social engagement to a typical level of the measure of complexity of social engagement achieved by a population of individuals.

4. The method of claim 1 , further comprising providing, by the one or more processing circuits, information regarding the measure of complexity of social engagement of the user to one or more persons other than the user.

5. The method of claim 1 , further comprising:

determining, by the one or more processing circuits, that the user has not satisfied a target level of the measure of complexity of social engagement of the user; and

providing, by the one or more processing circuits, based on the determination that the user has not satisfied a target level of the measure of complexity of social engagement of the user, an alert that prompts a third party or an artificial intelligence companion to initiate a social interaction with the user.

6. The method of claim 1 , wherein the one or more ear-wearable devices include the second set of sensors.

7. The method of claim 1 , further comprising: identifying, by the one or more processing circuits, terms and phrases in speech of the user that are associated with depression or risk of self-harm.

8. The method of claim 1 , wherein the batteries provide a first amount of power to a second set of one or more sensors when the second set of sensors are not activated and provide a second amount of power greater than the first amount of power to the second set of sensors when the second set of sensors are activated.

9. A system comprising:

a data storage system configured to store data generated by a first set of sensors powered by one or more batteries of one or more ear-wearable devices; and

one or more processing circuits configured to:

determine, based on the data generated by the first set of sensors, that a user of the one or more ear-wearable devices is currently in an environment that includes human- directed communication signals, wherein a second set of sensors includes at least one sensor that is not included in the first set of sensors;

in response to determining that the user is currently in the environment that includes human-directed communication signals, activate the second set of sensors and/or activate wireless streaming of data associated with the second set of sensors, wherein the second set of sensors includes at least one sensor that is not included in the first set of sensors;

determine, based on the data associated with by the second set of sensors, a measure of complexity of social engagement of the user; and

generate a visual representation of the measure of complexity of social engagement of the user.

10. The system of claim 9 , wherein the one or more processing circuits are further configured to generate a notification message that provides a tip on how to improve the complexity of social engagement of the user.

11. The system of claim 9 , wherein the visual representation of the measure of complexity of social engagement of the user comprises a visual representation of a comparison of the measure of complexity of social engagement to a typical level of the measure of complexity of social engagement achieved by a population of individuals.

12. The system of claim 9 , wherein the one or more processing circuits are configured to provide information regarding the measure of complexity of social engagement of the user to one or more persons other than the user.

13. The system of claim 9 , wherein the one or more processing circuits are further configured to:

determine that the user has not satisfied a target level of the measure of complexity of social engagement of the user; and

provide, based on the determination that the user has not satisfied the target level of the measure of complexity of social engagement of the user, an alert that prompts a third party or an artificial intelligence companion to initiate a social interaction with the user.

14. The system of claim 9 , wherein the one or more ear-wearable devices include the second set of sensors.

15. The system of claim 9 , wherein the batteries provide a first amount of power to a second set of one or more sensors when the second set of sensors are not activated and provide a second amount of power greater than the first amount of power to the second set of sensors when the second set of sensors are activated.

16. A system comprising:

means for determining, based on data generated by a first set of sensors, that a user of one or more ear-wearable devices is currently in an environment that includes human-directed communication signals, wherein a second set of sensors includes at least one sensor that is not included in the first set of sensors;

means for activating, in response to determining that the user is currently in the environment that includes human-directed communication signals, the second set of sensors and/or activating wireless streaming of data associated with the second set of sensors;

means for determining, based on the data associated with the second set of sensors, a measure of complexity of social engagement of the user; and

means for generating a visual representation of the measure of complexity of social engagement of the user.

17. A non-transitory computer-readable storage medium having instructions stored thereon that, when executed, cause one or more processing circuits to:

determine, based on data generated by a first set of sensors, that a user of one or more ear-wearable devices is currently in an environment that includes human-directed communication signals, wherein a second set of sensors includes at least one sensor that is not included in the first set of sensors;

in response to determining that the user is currently in the environment that includes human-directed communication signals, activate the second set of sensors and/or activate wireless streaming of data associated with the second set of sensors;

determine, based on the data associated with the second set of sensors, a measure of complexity of social engagement of the user; and

generate a visual representation of the measure of complexity of social engagement of the user.