DETERMINING OCCUPANCY WITH USER PROVIDED INFORMATION

• US 20150347916A1
• Filed: 05/30/2014
• Published: 12/03/2015
• Est. Priority Date: 05/30/2014
• Status: Active Grant

• Current Assignee: Vivint Incorporated (NRG Energy, Inc.)
• Original Assignee: Vivint Incorporated (NRG Energy, Inc.)
• Inventors: Warren, Jeremy B., Bunker, Brandon, Lyman, Jefferson, Hwang, Jungtaik
• Granted Patent: US 10,197,979 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G06N 5/04 Inference or reasoning models

Abstract

Methods and systems are described for determining occupancy with user provided information. According to at least one embodiment, a method for determining occupancy with user provided information includes using at least one sensor to detect occupancy in a building over time, determining a predictive schedule based on the occupancy detected with the at least one sensor, and requesting information relevant to the predictive schedule from a user.

Claims

1. A computer implemented method for determining occupancy with user provided information, comprising:

using at least one sensor to detect occupancy in a building over time;

determining a predictive schedule based on the occupancy detected with the at least one sensor; and

requesting information relevant to the predictive schedule from a user.

2. The method of claim 1, wherein requesting the information relevant to the predictive schedule from the user comprises sending a question to a device associated with the user.

3. The method of claim 1, wherein requesting the information relevant to the predictive schedule from the user comprises asking a question of the user about missing data relevant to the predictive schedule.

4. The method of claim 1, wherein requesting the information relevant to the predictive schedule from the user comprises asking a question of the user about ascertained data relevant to the predictive schedule associated with an unreliable confidence score.

5. The method of claim 1, further comprising receiving the information from the user.

6. The method of claim 5, further comprising changing the predictive schedule based on the information from the user.

7. The method of claim 5, further comprising changing a confidence score about ascertained data relevant to the predictive schedule based on the information from the user.

8. The method of claim 1, wherein requesting the information relevant to the predictive schedule from the user comprises requesting data about a period of time where no occupancy is detected.

9. The method of claim 1, wherein requesting the information relevant to the predictive schedule from the user comprises requesting the information about a number of occupants with location tracking mobile devices.

10. The method of claim 1, wherein requesting the information relevant to the predictive schedule from the user comprises requesting the information to determine whether the at least one sensor has a blind spot.

11. The method of claim 10, further comprising suggesting to install another sensor in response to identifying the blind spot.

12. The method of claim 1, further comprising making a hypothesis about a detail relevant to the predictive schedule.

13. The method of claim 12, wherein requesting the information relevant to the predictive schedule from the user comprises requesting the user to confirm an accuracy of the hypothesis.

14. A computing device configured for determining occupancy with user provided information, comprising:

a processor;

memory in electronic communication with the processor; and

instructions stored in the memory, the instructions being executable by the processor to;

use at least one sensor to detect occupancy in a building over time;

determine a predictive schedule based on the occupancy detected with the at least one sensor; and

request information relevant to the predictive schedule from a user.

15. The computing device of claim 14, wherein the instructions are further executable by the processor to ask a question of the user about missing data relevant to the predictive schedule.

16. The computing device of claim 14, wherein the instructions are further executable by the processor to request data about a period of time where no occupancy is detected.

17. The computing device of claim 14, wherein the instructions are further executable by the processor to ask a question of the user about ascertained data relevant to the predictive schedule associated with an unreliable confidence score.

18. The computing device of claim 14, wherein the instructions are further executable by the processor to request the information about a number of occupants with location tracking mobile devices.

19. The computing device of claim 14, wherein the instructions are further executable by the processor to request data relevant to the predictive schedule from the user to confirm an accuracy of a hypothesis about a detail affecting the predictive schedule.

20. A computer-program product for determining occupancy with user provided information, the computer-program product comprising a non-transitory computer-readable medium having instructions thereon, the instructions being executable by a processor to:

use at least one sensor to detect occupancy in a building over time;

determine a predictive schedule based on the occupancy detected with the at least one sensor;

make a hypothesis about a detail affecting the predictive schedule; and

request information from a user to confirm the hypothesis.