Dynamic selection and modification of tracking device behavior models

Patent metadata

Field	Value
Publication number	US-9964623-B1
Application number	US-201715640455-A
Country	US
Kind code	B1
Filing date	Jul 1, 2017
Priority date	Jul 1, 2017
Publication date	May 8, 2018
Grant date	May 8, 2018

Abstract

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.

First claim

What is claimed is:

1. A tracking device, comprising:
a transceiver configured to transmit and receive signals;
a communication interface coupled to the transceiver and configured to:
broadcast a beacon signal via the transceiver, the beacon signal detectable by one or more mobile devices in proximity to the tracking device, and
establish a communicative connection with a mobile device; and

a controller coupled to the communication interface and configured to:
broadcast a first series of beacon signals via the communication interface and the transceiver, the first series of beacon signals separated in time by broadcast intervals determined based on a first behavior model stored on the tracking device,
receive a second behavior model over the communicative connection from the mobile device, wherein the mobile device is configured to send the second behavior model to the tracking device in response to receiving the second behavior model from a tracking system,
store the second behavior model on the tracking device, and
broadcast a second series of beacon signals via the communication interface and the transceiver, the second series of beacon signals separated in time by broadcast intervals determined based on the second behavior model.

2. The tracking device of claim 1 , wherein at least one of the mobile devices is configured to send a location associated with the tracking device to the tracking system responsive to detecting the beacon signal.

3. The tracking device of claim 1 , wherein the first behavior model specifies one or more conditions and associates each condition with a usage probability for the condition.

4. The tracking device of claim 3 , wherein the conditions are time intervals in a 24-hour day.

5. The tracking device of claim 3 , wherein the controller is further configured to determine the broadcast interval based on the first behavior model, the determination of the broadcast interval comprising:
determining, based on output from one or more sensors of the tracking device, that a first one of the one or more conditions specified in the first behavior model is satisfied; and
generating a first broadcast interval based on the usage probability associated with the first satisfied condition.

6. The tracking device of claim 5 , wherein the determination of the broadcast interval further comprises:
determining, based on output from one or more sensors of the tracking device, that a second one of the one or more conditions specified in the first behavior model is satisfied; and
generating a second broadcast interval based on the usage probability associated with the second satisfied condition, wherein the second broadcast interval is shorter than the first broadcast interval.

7. The tracking device of claim 5 , wherein the determination of the broadcast interval further comprises:
determining, based on output from one or more sensors of the tracking device, that a second one of the one or more conditions specified in the first behavior model is satisfied; and
generating a second broadcast interval based on the usage probability associated with the second satisfied condition, wherein the second broadcast interval is longer than the first broadcast interval.

8. The tracking device of claim 1 , wherein the controller is further configured to determine a transmit power of the beacon signal based on the first behavior model.

9. The tracking device of claim 1 , wherein the second behavior model is associated with a geographic location and is generated based on usage data collected from tracking devices in the geographic location.

10. The tracking device of claim 1 , wherein the second behavior model is associated with a type of object and is generated based on usage data collected from tracking devices associated with the type of object.

11. A method for reconfiguring a tracking device, comprising:
broadcasting a first series of beacon signals via a communication interface and a transceiver of the tracking device, the first series of beacon signals separated in time by broadcast intervals determined based on a first behavior model stored on the tracking device;
receiving a second behavior model over a communicative connection between the tracking device and a mobile device, wherein the mobile device is configured to send the second behavior model to the tracking device in response to receiving the second behavior model from a tracking system;
reconfiguring the tracking device according to the second behavior model; and
after the tracking device is reconfigured according to the second behavior model, broadcasting a second series of beacon signals via the communication interface and the transceiver, the second series of beacon signals separated in time by broadcast intervals determined based on the second behavior model.

12. The method of claim 11 , wherein at least one of the mobile devices is configured to send a location associated with the tracking device to the tracking system responsive to detecting the beacon signal.

13. The method of claim 11 , wherein the first behavior model specifies one or more conditions and associates each condition with a usage probability for the condition.

14. The method of claim 13 , wherein the conditions are time intervals in a 24-hour day.

15. The method of claim 13 , further comprising determining the broadcast interval based on the first behavior model, the determination of the broadcast interval comprising:
determining, based on output from one or more sensors of the tracking device, that a first one of the one or more conditions specified in the first behavior model is satisfied; and
generating a first broadcast interval based on the usage probability associated with the first satisfied condition.

16. The method of claim 15 , wherein the determination of the broadcast interval further comprises:
determining, based on output from one or more sensors of the tracking device, that a second one of the one or more conditions specified in the first behavior model is satisfied; and
generating a second broadcast interval based on the usage probability associated with the second satisfied condition, wherein the second broadcast interval is shorter than the first broadcast interval.

17. The method of claim 15 , wherein the determination of the broadcast interval further comprises:
determining, based on output from one or more sensors of the tracking device, that a second one of the one or more conditions specified in the first behavior model is satisfied; and
generating a second broadcast interval based on the usage probability associated with the second satisfied condition, wherein the second broadcast interval is longer than the first broadcast interval.

18. The method of claim 11 , further comprising determining a transmit power of the beacon signal based on the first behavior model.

19. The method of claim 11 , wherein the second behavior model is associated with a geographic location and is generated based on usage data collected from tracking devices in the geographic location.

20. The method of claim 11 , wherein the second behavior model is associated with a type of object and is generated based on usage data collected from tracking devices associated with the type of object.

Assignees

• Tile Inc

Inventors

• De La Broise Josselin
• Okano Aaron
• Hegde Akhila

Classifications

• G01S2205/01

  specially adapted for specific applications · CPC title

• H04W4/025

  using location based information parameters · CPC title

• G01S3/786 Primary

  the desired condition being maintained automatically · CPC title

• G06T7/251

  involving models · CPC title

• G08B21/0423

  detecting deviation from an expected pattern of behaviour or schedule · CPC title