DATA-CAPABLE BAND MANAGEMENT IN AN AUTONOMOUS ADVISORY APPLICATION AND NETWORK COMMUNICATION DATA ENVIRONMENT

1 . A method, comprising:

detecting a signal configured to initiate a synchronization function transmitted from a wearable computing device including sensors to an application;

performing the synchronization function, the synchronization function being configured to receive data from the wearable computing device to transfer to the application; and

causing presentation to an interface on a computing device, the interface being configured to display information associated with the wearable computing device as determined by a processor operating on the data transferred to the application after the synchronization function is performed.

2 . The method of claim 1 , further comprising:

receiving motion data derived from sensors subsequent to performing the synchronization function; and

transferring the motion data into the application,

wherein at least a portion of the application includes executable instructions to implement an autonomous advisor application.

3 . The method of claim 1 , further comprising:

receiving motion data subsequent to performing the synchronization function;

determining the motion data is recovered motion data; and

updating a value representing state attribute based on the recovered motion data.

4 . The method of claim 3 , wherein updating the value representing the state attribute comprises:

identifying an estimated state to which the recovered motion data relates;

converting the recovered motion data to units of motion associated with the estimated state to form a recovered amount of state; and

forming the value representing the state attribute based on the amount of state.

5 . The method of claim 4 , wherein identifying the estimated state comprises:

characterizing the recovered motion data as data representing the estimated state; and

predicting time-related parameters specifying a time interval for the estimated state.

6 . The method of claim 4 , further comprising:

confirming the estimated state is a state of a user; and

adjusting time-related parameters specifying a time interval for the state of the user responsive to signals received from the interface.

7 . The method of claim 1 , further comprising:

receiving motion data subsequent to performing the synchronization function;

determining the motion data is recovered motion data;

characterizing the recovered motion data as recovered sleep data;

identifying an estimated state of sleep to which the sleep relates; and

updating a value representing an amount of sleep based on the recovered sleep data.

8 . The method of claim 7 , further comprising:

converting the recovered motion data to form a recovered amount of sleep; and

adjusting time-related parameters specifying a time interval for the recovered amount of sleep responsive to signals received from the interface.

9 . The method of claim 1 , further comprising:

receiving motion data subsequent to performing the synchronization function;

determining the motion data is recovered motion data;

characterizing the recovered motion data as recovered activity data;

identifying an estimated state of activity to which the activity relates; and

updating a value representing an amount of activity based on the recovered activity data.

10 . The method of claim 9 , further comprising:

confirming the estimated state of activity is an activity state of a user; and

adjusting time-related parameters specifying a time interval for the activity state of the user responsive to signals received from the interface.

11 . The method of claim 9 , further comprising:

converting the recovered motion data to form a recovered amount of activity; and

aggregating the recovered amount of activity to an amount of activity.

12 . The method of claim 1 , further comprising:

receiving motion data subsequent to performing the synchronization function;

determining the motion data is recovered motion data;

characterizing the recovered motion data as recovered state data;

updating a value representing an amount of state based on the recovered motion data;

receiving another value representing another amount of state;

comparing the value to the another value to determine an identified value; and

causing presentation of the identified value as a portion of the information to be displayed on the interface.

13 . The method of claim 12 , further comprising:

determining the value is associated with a first value of sleep or activity for a user;

determining the another value is associated with a second value of sleep or activity for another user; and

identifying either the user or the another user as associated with the identified value as a greater value of sleep or activity during an inter-person challenge time interval.

14 . The method of claim 12 , further comprising:

determining the value is associated with a value of sleep or activity for a user;

determining the another value is associated with a target value of sleep or activity for the user; and

identifying the identified value as a difference between the value and the target during an intra-person challenge time interval.

15 . The method of claim 1 , further comprising:

receiving motion data subsequent to performing the synchronization function;

determining the motion data is recovered motion data;

characterizing the recovered motion data as recovered state data;

updating a value representing an amount of state based on the recovered motion data;

correlating the value to another value to determine a correlated value; and

causing presentation of insight information as a portion of the information to be displayed on the interface,

wherein the content of the insight information is a function of the correlated value.

16 . The method of claim 15 , further comprising:

identifying the another value as a targeted amount of state based on goal data;

correlating the value to the targeted amount of state to determine the correlated value; and

generating a first set of insight information data specifying a user's performance to the goal data.

17 . The method of claim 15 , further comprising:

identifying the another value as a representative amount of state derived from a plurality of users;

correlating the value to the representative amount of state to determine the correlated value; and

generating a second set of insight information data specifying a user's performance relative to the plurality of users.

18 . A computer program product embodied in a computer readable medium and comprising executable instructions configured to:

detect a signal configured to initiate a synchronization function transmitted from a wearable computing device including sensors to an application;

perform the synchronization function, the synchronization function being configured to receive data from the wearable computing device to transfer to the application; and

cause presentation to an interface on a computing device, the interface being configured to display information associated with the wearable computing device as determined by a processor operating on the data transferred to the application after the synchronization function is performed.

19 . The computer program product of claim 18 , further comprising executable instructions configured to:

receive motion data subsequent to performing the synchronization function;

determine the motion data is recovered motion data; and

update a value representing state attribute based on the recovered motion data.

20 . The method of claim 19 , wherein the executable instructions to update the value representing the state attribute comprise executable instructions configured to:

identify an estimated state to which the recovered motion data relates;

convert the recovered motion data to units of motion associated with the estimated state to form a recovered amount of state; and

form the value representing the state attribute based on the amount of state.