A wearable computing device is described that predicts, based on movement detected, over time, by the wearable computing device, one or more future periods of time during which the wearable computing device will not be used. Responsive to determining that the wearable computing device is not being used at a current time, the wearable computing device determines whether the current time coincides with at least one period of time from the one or more future periods of time. Responsive to determining that the current time coincides with the at least one period of time, the wearable computing device performs an operation.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: determining, based at least in part on sensor data obtained from a barometer of a wearable computing device being detected during multiple days of a sample period, a recurring period of time of day during which a frequency or a magnitude of the sensor data satisfies a threshold that indicates the wearable computing device was not being used; determining, at a time after the sample period, whether a future period of time of day, coincides with the recurring period of time of day; and responsive to determining that the future period of time of day coincides with the recurring period of time of day and responsive to determining that an operation can be completed during the recurring period of time of day, performing, by the wearable computing device, the operation during the future period of time of day. 2. The method of claim 1, wherein the time after the sample period is a first time, the sensor data is first sensor data, the method further comprising: determining, at a second time after the sample period, whether a current period of time of day, coincides with the recurring period of time of day; and responsive to determining that the current period of time of day coincides with the recurring period of time of day and responsive to determining, based on second sensor data obtained from the barometer of the wearable computing device being detected during the current period of time, that the wearable computing device is not being used, performing, by the wearable computing device, the operation during the current period of time of day. 3. The method of claim 1, wherein the wearable device is a computerized watch. 4. The method of claim 1, wherein the wearable device is computerized headphones. 5. The method of claim 1, wherein performing the operation comprises presenting a security challenge user interface in response to detecting future movement of the wearable computing device during the recurring period of time of day. 6. The method of claim 1, wherein a machine learning system of the wearable computing device determines the recurring period of time of day when the wearable computing device is not being used. 7. The method of claim 6, wherein the sensor data comprises first sensor data and second sensor data, the method further comprising: receiving, from the barometer, the first sensor data, the first sensor data indicating a lack of movement of the wearable computing device being detected during a first period of time of a first day of the multiple days of the sample period; receiving, from the barometer, the second sensor data, the second sensor data indicating a lack of movement of the wearable computing device being detected during a second period of time of a second day of the multiple days of the sample period, the second day being different than the first day, wherein the second period of time of the second day corresponds to the first period of time of the first day; identifying, by the machine learning system, based on the first sensor data and the second sensor data, the first period of time of the first day and the second period of time of the second day as being the recurring period of time of day when the wearable computing device is not being used; and generating, by the machine learning system, a rule that predicts the future period of time of day to be when the wearable computing device will not be used. 8. A wearable computing device comprising: a barometer configured to detect changes in elevation associated with the wearable computing device; and at least one processor configured to: determine, based at least in part on sensor data obtained from the barometer being detected during multiple days of a sample period, a recurring period of time of day during which a frequency or a magnitude of the sensor data satisfies a threshold that indicates the wearable computing device was not being used; determine, at a time after the sample period, whether a future period of time of day, coincides with the recurring period of time of day; and responsive to determining that the future period of time of day coincides with the recurring period of time of day and responsive to determining that an operation can be completed during the recurring period of time of day, perform the operation during the future period of time of day. 9. The wearable computing device of claim 8, wherein the time after the sample period is a first time, the sensor data is first sensor data, and the at least one processor is further configured to: determine, at a second time after the sample period, whether a current period of time of day, coincides with the recurring period of time of day; and responsive to determining that the current period of time of day coincides with the recurring period of time of day and responsive to determining, based on second sensor data obtained from the barometer being detected during the current period of time, that the wearable computing device is not being used, perform the operation during the current period of time of day. 10. The wearable computing device of claim 8, wherein the wearable device is a computerized watch. 11. The wearable computing device of claim 8, wherein the wearable device is computerized headphones. 12. The wearable computing device of claim 8, wherein the at least one processor is configured to perform the operation by at least presenting a security challenge user interface in response to detecting future movement of the wearable computing device during the recurring period of time of day. 13. The wearable computing device of claim 8, wherein the wearable computing device further comprises a machine learning system configured to determine the recurring period of time of day when the wearable computing device is not being used. 14. The wearable computing device of claim 13, wherein the sensor data comprises first sensor data and second sensor data, the at least one processor is further configured to: receive, from the barometer, the first sensor data, the first sensor data indicating a lack of movement of the wearable computing device being detected during a first period of time of a first day of the multiple days of the sample period; and receive, from the barometer, the second sensor data, the second sensor data indicating a lack of movement of the wearable computing device being detected during a second period of time of a second day of the multiple days of the sample period, the second day being different than the first day, wherein the second period of time of the second day corresponds to the first period of time of the first day; and the machine learning system is configured to: identify, based on the first sensor data and the second sensor data, the first period of time of the first day and the second period of time of the second day as being the recurring period of time of day when the wearable computing device is not being used; and generate a rule that predicts the future period of time of day to be when the wearable computing device will not be used. 15. A computer-readable storage medium comprising instructions that, when executed, cause at least one processor to: determine, based at least in part on sensor data obtained from a barometer of a wearable computing device being detected during multiple days of a sample period, a recurring period of time of day during which a frequency or a magnitude of the sensor data satisfies a threshold that indicates the wearable computing device was not being used; determine, at a time after the sample period, whether a future period of time of day, coincides with the recurring period of time of day; and responsive to determining that the future period of time of day coincides with the recurring period of time of day and responsive to determining that an operation can be completed during the recurring period of time of day, perform the operation during the future period of time of day. 16. The computer-readable storage medium of claim 15, wherein the time after the sample period is a first time, the sensor data is first sensor data, and the instructions, when executed, further cause the at least one processor to: determine, at a second time after the sample period, whether a current period of time of day, coincides with the recurring period of time of day; and responsive to determining that the current period of time of day coincides with the recurring period of time of day and responsive to determining, based on second sensor data obtained from the barometer of the wearable computing device being detected during the current period of time, that the wearable computing device is not being used, perform the operation during the current period of time of day. 17. The computer-readable storage medium of claim 15, wherein the wearable device is a computerized watch. 18. The computer-readable storage medium of claim 15, wherein the wearable device is computerized headphones. 19. The computer-readable storage medium of claim 15, wherein the instructions, when executed, further cause the at least one processor to perform the operation by at least presenting a security challenge graphical user interface in response to detecting future movement of the wearable computing device during the recurring period of time of day. 20. The computer-readable storage medium of claim 15, wherein the instructions, when executed, further cause the at least one processor to determine, using a machine learning system, the recurring period of time of day when the wearable computing device is not being used.