INDOOR DEVICE CONTROL ASSISTANCE

• US 20170187815A1
• Filed: 09/29/2016
• Published: 06/29/2017
• Est. Priority Date: 12/24/2015
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Vainas, Oded, Mendels, Omri, Soffer, Ronen
• Application Number:
  US15/280,058
• Publication Number:
  US 20170187815A1
• Time in Patent Office: Days
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 88/02 Terminal devices

Abstract

Apparatus, systems, and/or methods may provide control assistance. For example, a mobile device on a user may provide sensor data for the user. In addition, a routine may be determined based on the sensor data from the mobile device and/or sensor data from one or more indoor devices on premises. Moreover, an action of an indoor device may be defined based on the sensor data from the mobile device and/or the sensor data from the one or more indoor devices. The action may include a predicted action, which may be suggested to the user and/or automatically executed, via control data, by the indoor devices. Additionally, control assistance may be provided to a plurality of users.

Claims

1. A system comprising:

one or more of,

a mobile device on a user to provide sensor data for the user, or

a routine determiner to determine a routine based on one or more of the sensor data from the mobile device or sensor data from one or more indoor devices on a premises, and

a control assistant to define an action of an indoor device based on one or more of the sensor data from the mobile device or the sensor data from the one or more indoor devices.

2. The system of claim 1, further including a data collector to,

collect the sensor data from the mobile device, and

collect the sensor data from the one or more indoor devices.

3. The system of claim 1, further including,

a predictor to generate a predicted action based on one or more of a current state of the user, a current state of the premises, or the routine, and

one or more of,

a prompter to suggest the predicted action based on one or more of the current state of the user, the current state of the premises, or the routine, or

an adjuster to automatically execute the predicted action based on one or more of the current state of the user, the current state of the premises, or the routine.

4. The system of claim 1, further including,

a sensor unit to aggregate sensor data from one or more of the mobile device, at least one other mobile device, or at least one indoor device on the premises,

a control unit to aggregate control data that is to control at least one action of at least one indoor device on the premises, and

an server unit to one or more of,

process sensor data from one or more of the sensor unit, the mobile device, the at least one other mobile device, or the at least one indoor device on the premises, or

process control data from one or more of the control unit, the mobile device, or the at least one other mobile device.

5. An apparatus comprising:

a data collector to collect sensor data for a user from a mobile device on the user, and

a control assistant to define an action of an indoor device on a premises based on the sensor data from the mobile device.

6. The apparatus of claim 5, wherein the mobile device is to include one of a mobile phone or a wearable device, and wherein the indoor device in to include an Internet of Things device.

7. The apparatus of claim 5, wherein the data collector is to collect outdoor sensor data for the user from the mobile device when the user is off the premises, and wherein the control assistant is to define the action of the indoor device based on the outdoor sensor data.

8. The apparatus of claim 5, wherein the data collector is to collect indoor sensor data for the user from the mobile device when the user is on the premises, and wherein the control assistant is to define the action of the indoor device based on the indoor sensor data.

9. The apparatus of claim 5, wherein the data collector is to collect sensor data for one or more of the user or the premises from one or more indoor devices on the premises, and wherein the control assistant is to define the action of the indoor device based on the sensor data from the one or more indoor devices.

10. The apparatus of claim 5, further including a routine determiner to determine a routine based on one or more of the sensor data for the user from the mobile device or sensor data from one or more indoor devices on the premises.

11. The apparatus of claim 10, wherein the routine determiner is to determine a plurality of routines for a plurality of users, and wherein the control assistant is to define the action of the indoor device based on the plurality of routines.

12. The apparatus of claim 5, wherein the data collector is to collect sensor data from a plurality of mobile devices on a plurality of users, and wherein the control assistant is to define the action of the indoor device based on the sensor data from the plurality of mobile devices.

13. The apparatus of any claim 5, further including,

a predictor to generate a predicted action based on one or more of a current state of the user, a current state of the premises, or the routine, and

one or more of,

a prompter to suggest the predicted action based on one or more of the current state of the user, the current state of the premises, or the routine, or

an adjuster to automatically execute the predicted action based on one or more of the current state of the user, the current state of the premises, or the routine.

14. At least one computer readable storage medium comprising a set of instructions, which when executed by a computer, cause the computer to:

collect sensor data for a user from a mobile device on the user; and

define an action of an indoor device on a premises based on the sensor data from the mobile device.

15. The at least one computer readable storage medium of claim 14, wherein the instructions, when executed, cause the computer to:

collect one or more of outdoor sensor data for the user from the mobile device when the user is off the premises, indoor sensor data for the user from the mobile device when the user is on the premises, or sensor data for one or more of the user or the premises from one or more indoor devices on the premises; and

define the action of the indoor device based on one or more of the outdoor sensor data, the indoor sensor data, or the sensor data from the one or more indoor devices.

16. The at least one computer readable storage medium of claim 14, wherein the instructions, when executed, cause the computer to determine a routine based on one or more of the sensor data for the user from the mobile device or sensor data from one or more indoor devices on the premises.

17. The at least one computer readable storage medium of claim 16, wherein the instructions, when executed, cause the computer to:

determine a plurality of routines for a plurality of users; and

define the action of the indoor device based on the plurality of routines.

18. The at least one computer readable storage medium of claim 14, wherein the instructions, when executed, cause the computer to:

collect sensor data from a plurality of mobile devices on a plurality of users; and

define the action of the indoor device based on the sensor data from the plurality of mobile devices.

19. The at least one computer readable storage medium claim 14, wherein the instructions, when executed, cause the computer to:

generate a predicted action based on one or more of a current state of the user, a current state of the premises, or the routine; and

one or more of;

suggest the predicted action based on one or more of the current state of the user, the current state of the premises, or the routine;

or

automatically execute the predicted action based on one or more of the current state of the user, the current state of the premises, or the routine.

20. A method comprising:

collecting sensor data for a user from a mobile device on the user; and

defining an action of an indoor device on a premises based on the sensor data from the mobile device.

21. The method of claim 20, further including:

collecting one or more of outdoor sensor data for the user from the mobile device when the user is off the premises, indoor sensor data for the user from the mobile device when the user is on the premises, or sensor data for one or more of the user or the premises from one or more indoor devices on the premises; and

defining the action of the indoor device based on one or more of the outdoor sensor data, the indoor sensor data, or the sensor data from the one or more indoor devices.

22. The method of claim 20, further including determining a routine based on one or more of the sensor data for the user from the mobile device or sensor data from one or more indoor devices on the premises.

24. The method of claim 20, further including:

collecting sensor data from a plurality of mobile devices on a plurality of users; and

defining the action of the indoor device based on the sensor data from the plurality of mobile devices.

25. The method of claim 20, further including:

generating a predicted action based on one or more of a current state of the user, a current state of the premises, or the routine; and

one or more of;

suggesting the predicted action based on one or more of the current state of the user, the current state of the premises, or the routine;

or

automatically executing the predicted action based on one or more of the current state of the user, the current state of the premises, or the routine.

23. The method of claim 23, further including:

determining a plurality of routines for a plurality of users; and

defining the action of the indoor device based on the plurality of routines.