Gesture-based load control via wearable devices
A load control system may include control-target devices for controlling an amount of power provided to an electrical load. The control-target devices may be capable of controlling the amount of power provided to the electrical load based on control instructions. The control-target devices and/or the control-instructions may be determined based on a gesture performed by a user. The user may wear a wearable control device capable of measuring movements performed by the user and transmit digital messages that may be used to control an electrical load. The wearable control device may identify gestures performed by the user for controlling a control-target device and/or provide control instructions to the control-target device based on the identified gestures. A gesture may be associated with a scene that includes a configuration of one or more control devices in a load control system.
1. An electrical load controller, comprising:
communications interface circuitry;
memory circuitry;
electrical load control circuitry communicatively coupled to the communications interface circuitry and to the memory circuitry, the electrical load control circuitry to:
receive, via the communications interface circuitry, a first input that includes data representative of a gesture using a wearable processor-based device;
identify one or more control devices associated with the gesture;
receive data representative of a unique identifier associated with the wearable processor-based device;
determine whether an association exists between at least a portion of the one or more control devices and the unique identifier; and
responsive to the determination that an association exists between at least the portion of the one or more control devices and the wearable processor-based device, receive a second input to adjust one or more operational parameters of at least some of the identified one or more control devices.
2. The electrical load controller of claim 1 :
wherein to receive the first input that includes data representative of the gesture using the wearable processor-based device, the electrical load control circuitry to further:
receive, via the communications interface circuitry, a first input that includes data representative of a pointing gesture using the wearable processor-based device; and
wherein to identify the one or more control devices associated with the gesture, the electrical load control circuitry to further:
determine a vector using the pointing gesture; and
identify one or more control devices aligned with the determined vector as the one or more control devices associated with the vector.
3. The electrical load controller of claim 1 :
wherein, to receive the first input that includes data representative of the gesture using the wearable processor-based device, the electrical load control circuitry to further:
receive, via the communications interface circuitry, a first input that includes data representative of a gesture using a wearable processor-based device that identifies an area; and
wherein to identify the one or more control devices associated with the gesture, the electrical load control circuitry to further:
identify a plurality of control devices including at least one of: one or more control-source devices and one or more control-target devices included within a scene associated with the identified area.
4. The electrical load controller of claim 1 wherein to receive the second input to adjust the one or more operational parameters of at least some of the identified one or more control devices, the electrical load control circuitry to further:
receive a second input that includes a second gesture to adjust the one or more operational parameters of at least some of the identified one or more control devices.
5. The electrical load controller of claim 1 wherein to receive the second input to adjust the one or more operational parameters of at least some of the identified one or more control devices, the electrical load control circuitry to further:
receive a second input that includes a biometric input to adjust the one or more operational parameters of at least some of the identified one or more control devices.
6. The electrical load controller of claim 1 wherein to receive the second input to adjust the one or more operational parameters of at least some of the identified one or more control devices, the electrical load control circuitry to further:
receive a second input that includes an audible input to adjust the one or more operational parameters of at least some of the identified one or more control devices.
7. The electrical load controller of claim 1 wherein to identify the one or more control devices associated with the gesture, the electrical load control circuitry to further:
identify at least one of: one or more control-source devices and one or more control-target devices associated with the gesture.
8. The electrical load controller of claim 1 wherein to identify the one or more control devices associated with the gesture, the electrical load control circuitry to further:
compare the received data representative of the gesture using the wearable processor-based device with data representative of an association between a gesture and one or more control devices stored in the memory circuitry.
9. An electrical load control method, comprising:
receiving, by electrical load control circuitry via communicatively coupled communications interface circuitry, a first input that includes data representative of a gesture using a wearable processor-based device;
identifying, by the electrical load control circuitry, one or more control devices associated with the gesture;
receiving, by the electrical load control circuitry via the communications interface circuitry, data representative of a unique identifier associated with the wearable processor-based device;
determining, by the electrical load control circuitry, whether an association exists between at least a portion of the one or more control devices and the unique identifier; and
responsive to the determination that an association exists between at least the portion of the one or more control devices and the wearable processor-based device, receiving, by the electrical load control circuitry via the communications interface circuitry, a second input to adjust one or more operational parameters of at least some of the identified one or more control devices.
10. The method of claim 9 :
wherein receiving the first input that includes data representative of the gesture using the wearable processor-based device further comprises:
receiving, by the electrical load control circuitry via the communications interface circuitry, a first input that includes data representative of a pointing gesture using the wearable processor-based device; and
wherein identifying the one or more control devices associated with the gesture, the electrical load control circuitry to further:
determining, by the electrical load control circuitry, a vector using the pointing gesture; and
identifying, by the electrical load control circuitry, one or more control devices aligned with the determined vector as the one or more control devices associated with the vector.
11. The method of claim 9 :
wherein receiving the first input that includes data representative of the gesture using the wearable processor-based device further comprises:
receiving, by the electrical load control circuitry via the communications interface circuitry, a first input that includes data representative of a gesture using a wearable processor-based device that identifies an area; and
wherein identifying the one or more control devices associated with the gesture, the electrical load control circuitry to further:
identifying a plurality of control devices including at least one of: one or more control-source devices and one or more control-target devices included within a scene associated with the identified area.
12. The method of claim 9 wherein receiving the second input to adjust the one or more operational parameters of at least some of the identified one or more control devices further comprises:
receiving, by the electrical load control circuitry via the communications interface circuitry, a second input that includes a second gesture to adjust the one or more operational parameters of at least some of the identified one or more control devices.
13. The method of claim 9 wherein receiving the second input to adjust the one or more operational parameters of at least some of the identified one or more control devices further comprises:
receiving, by the electrical load control circuitry via the communications interface circuitry, a second input that includes a biometric input to adjust the one or more operational parameters of at least some of the identified one or more control devices.
14. The method of claim 9 wherein receiving the second input to adjust the one or more operational parameters of at least some of the identified one or more control devices further comprises:
receiving, by the electrical load control circuitry via the communications interface circuitry, a second input that includes an audible input to adjust the one or more operational parameters of at least some of the identified one or more control devices.
15. The method of claim 9 wherein identifying the one or more control devices associated with the gesture further comprises:
identifying, by the electrical load control circuitry, at least one of: one or more control-source devices and one or more control-target devices associated with the gesture.
16. The method of claim 9 wherein identifying the one or more control devices associated with the gesture further comprises:
compare the received data representative of the gesture using the wearable processor-based device with data representative of an association between a gesture and one or more control devices stored in the memory circuitry.
17. A non-transitory, machine-readable, storage device that includes instructions that, when executed by electrical load control circuitry, cause the electrical load control circuitry to:
receive, via communicatively coupled communications interface circuitry, a first input that includes data representative of a gesture using a wearable processor-based device;
identify one or more control devices associated with the gesture;
receive, via the communicatively coupled communications interface circuitry, data representative of a unique identifier associated with the wearable processor-based device;
determine whether an association exists between at least a portion of the one or more control devices and the unique identifier; and
responsive to the determination that an association exists between at least the portion of the one or more control devices and the wearable processor-based device, receive, via the communications interface circuitry, a second input to adjust one or more operational parameters of at least some of the identified one or more control devices.
18. The non-transitory, machine-readable, storage device of claim 17 :
wherein the instructions that cause the electrical load control circuitry to receive the first input that includes data representative of the gesture using the wearable processor-based device further cause the electrical load control circuitry to:
receive, via the communications interface circuitry, a first input that includes data representative of a pointing gesture using the wearable processor-based device; and
wherein the instructions that cause the electrical load control circuitry to identify the one or more control devices associated with the gesture, further cause the electrical load control circuitry to:
determine a vector using the pointing gesture; and
identify one or more control devices aligned with the determined vector as the one or more control devices associated with the vector.
19. The non-transitory, machine-readable, storage device of claim 17 :
wherein the instructions that cause the electrical load control circuitry to receive the first input that includes data representative of the gesture using the wearable device further cause the electrical load control circuitry to:
receive, via the communications interface circuitry, a first input that includes data representative of a gesture using a wearable processor-based device that identifies an area; and
wherein the instructions that cause the electrical load control circuitry to identify the one or more control devices associated with the gesture, further cause the electrical load control circuitry to:
identify a plurality of control devices including at least one of: one or more control-source devices and one or more control-target devices included within a scene associated with the identified area.
20. The non-transitory, machine-readable, storage device of claim 17 wherein the instructions that cause the electrical load control circuitry to receive the second input to adjust the one or more operational parameters of at least some of the identified one or more control devices further cause the electrical control circuitry to:
receive, via the communications interface circuitry, a second input that includes a second gesture to adjust the one or more operational parameters of at least some of the identified one or more control devices.
21. The non-transitory, machine-readable, storage device of claim 17 wherein the instructions that cause the electrical load control circuitry to receive the second input to adjust the one or more operational parameters of at least some of the identified one or more control devices further cause the electrical control circuitry to:
receive, via the communications interface circuitry, a second input that includes a biometric input to adjust the one or more operational parameters of at least some of the identified one or more control devices.
22. The non-transitory, machine-readable, storage device of claim 17 wherein the instructions that cause the electrical load control circuitry to receive the second input to adjust the one or more operational parameters of at least some of the identified one or more control devices further cause the electrical control circuitry to:
receive, via the communications interface circuitry, a second input that includes an audible input to adjust the one or more operational parameters of at least some of the identified one or more control devices.
23. The non-transitory, machine-readable, storage device of claim 17 wherein the instructions that cause the electrical load control circuitry to identify the one or more control devices associated with the gesture, further cause the electrical load control circuitry to:
identify at least one of: one or more control-source devices and one or more control-target devices associated with the gesture.