Dynamic selection and modification of tracking device behavior models
A tracking device broadcasts beacon signals that are separated in time by broadcast intervals. The tracking device determines the broadcast intervals based on a behavior model. The behavior model specifies one or more conditions, such as times of day within a 24-hour day, and associates a usage probability with each condition. A higher usage probability causes the tracking device to broadcast beacon signals at shorter broadcast intervals. A mobile device in communication with the tracking device can reconfigure the behavior model, either by modifying portions of the behavior model or by replacing the behavior model with a different behavior model. This allows the behavior model to adapt to different circumstances, such as different usage patterns during weekdays, weekends, and vacations.
1. A method comprising:
accessing, at a tracking system, data describing historical behavior for a plurality of tracking devices, each of the plurality of tracking devices implementing one or more tracking functions to help a user find the tracking device;
generating a behavior model based on the accessed data, the behavior model configured to identify, for each tracking device during each of one or more time intervals, a likelihood that the tracking device will be moved during the time interval; and
configuring each of one or more of the plurality of tracking devices to operate during a time interval in an operating mode selected based on the likelihoods identified by the generated behavior model that the one or more tracking devices will move during the time interval.
2. The method of claim 1 , wherein the accessed data comprises timestamped locations of each of the plurality of tracking devices during a preceding time interval.
3. The method of claim 2 , wherein the timestamped locations of each tracking device are collected from a location sensor in a mobile device communicatively coupled to the tracking device.
4. The method of claim 1 , wherein the accessed data comprises, for each of the plurality of tracking devices, an object descriptor specifying a type of object to which the tracking device is attached.
5. The method of claim 1 , wherein the accessed data was captured while each of the plurality of tracking devices was located in a same geographic area, and wherein each of the one or more tracking devices is configured to operate during a time interval if the tracking device is located within the geographic area during the time interval.
6. The method of claim 1 , wherein each of the plurality of tracking devices belongs to a same user of the tracking system, and wherein each of the one or more tracking devices is configured to operate during the time interval if the tracking device is in a possession of the user.
7. The method of claim 1 , wherein each of the one or more tracking devices is configured to operate during the time interval in response to a triggering condition being satisfied by the tracking device.
8. The method of claim 7 , wherein the triggering condition specifies an object type and wherein the triggering condition is satisfied in response to the tracking device being coupled to an object of the object type.
9. A non-transitory computer-readable storage medium storing executable computer instructions that, when executed by a processor, cause the processor to perform steps comprising:
accessing data describing historical behavior for a plurality of tracking devices, each of the plurality of tracking devices implementing one or more tracking functions to help a user find the tracking device;
generating a behavior model based on the accessed data, the behavior model configured to identify, for each tracking device during each of one or more time intervals, a likelihood that the tracking device will be moved during the time interval; and
configuring each of one or more of the plurality of tracking devices to operate during a time interval in an operating mode selected based on the likelihoods identified by the generated behavior model that the one or more tracking devices will move during the time interval.
10. The non-transitory computer-readable storage medium of claim 9 , wherein the accessed data comprises timestamped locations of each of the plurality of tracking devices during a preceding time interval.
11. The non-transitory computer-readable storage medium of claim 10 , wherein the timestamped locations of each tracking device are collected from a location sensor in a mobile device communicatively coupled to the tracking device.
12. The non-transitory computer-readable storage medium of claim 9 , wherein the accessed data comprises, for each of the plurality of tracking devices, an object descriptor specifying a type of object to which the tracking device is attached.
13. The non-transitory computer-readable storage medium of claim 9 , wherein the accessed data was captured while each of the plurality of tracking devices was located in a same geographic area, and wherein each of the one or more tracking devices is configured to operate during a time interval if the tracking device is located within the geographic area during the time interval.
14. The non-transitory computer-readable storage medium of claim 9 , wherein each of the plurality of tracking devices belongs to a same user of the tracking system, and wherein each of the one or more tracking devices is configured to operate during the time interval if the tracking device is in a possession of the user.
15. The non-transitory computer-readable storage medium of claim 9 , wherein each of the one or more tracking devices is configured to operate during the time interval in response to a triggering condition being satisfied by the tracking device.
16. The non-transitory computer-readable storage medium of claim 15 , wherein the triggering condition specifies an object type and wherein the triggering condition is satisfied in response to the tracking device being coupled to an object of the object type.
17. A system comprising:
a processor; and
a non-transitory computer-readable storage medium storing executable computer instructions that, when executed by the processor, cause the processor to perform steps comprising:
accessing data describing historical behavior for a plurality of tracking devices, each of the plurality of tracking devices implementing one or more tracking functions to help a user find the tracking device;
generating a behavior model based on the accessed data, the behavior model configured to identify, for each tracking device during each of one or more time intervals, a likelihood that the tracking device will be moved during the time interval; and
configuring each of one or more of the plurality of tracking devices to operate during a time interval in an operating mode selected based on the likelihoods identified by the generated behavior model that the one or more tracking devices will move during the time interval.
18. The system of claim 17 , wherein the accessed data was captured while each of the plurality of tracking devices was located in a same geographic area, and wherein each of the one or more tracking devices is configured to operate during a time interval if the tracking device is located within the geographic area during the time interval.
19. The system of claim 17 , wherein each of the plurality of tracking devices belongs to a same user of the tracking system, and wherein each of the one or more tracking devices is configured to operate during the time interval if the tracking device is in a possession of the user.
20. The system of claim 17 , wherein each of the one or more tracking devices is configured to operate during the time interval in response to a triggering condition being satisfied by the tracking device.