Gesture-based load control

Patent metadata

Field	Value
Publication number	US-11669169-B2
Application number	US-202117378315-A
Country	US
Kind code	B2
Filing date	Jul 16, 2021
Priority date	Mar 15, 2013
Publication date	Jun 6, 2023
Grant date	Jun 6, 2023

Abstract

A load control system may include load control devices for controlling an amount of power provided to an electrical load. The load control devices may be capable of controlling the amount of power provided to the electrical load based on control instructions received from a gesture-based control device. The gesture-based control device may identify gestures performed by a user for controlling a load control device and provide control instructions to the load control device based on the identified gestures. The gestures may be identified based on images received from a motion capture device. A gesture may be associated with a scene that includes a configuration of one or more load control devices in a load control system. The user may perform one or more gestures to program the gesture-based control device to identify a gesture.

First claim

The invention claimed is:

1. A controller to control an amount of power provided to each of a plurality of electrical load devices included in each of a plurality of scenes, the controller comprising:
image acquisition circuitry;
memory circuitry; and
control circuitry communicatively coupled to the image acquisition circuitry and to the memory circuitry, the control circuitry to:
identify a user in a space using the image acquisition circuitry;
determine a unique identifier associated with the user; and
retrieve data representative of one or more user-specific scenes associated with the space and with the unique identifier, wherein the one or more retrieved scenes include one or more user-specific electrical load control gestures and one or more user-specific commands associated with the unique identifier.

2. The controller of claim 1 wherein to identify the user in the space, the control circuitry to further:
identify the user in the space based on a skeletal outline using one or more images captured via the image acquisition circuitry.

3. The controller of claim 1 wherein to identify the user in the space, the control circuitry to further:
identify the user in the space based on facial recognition using one or more images captured via the image acquisition circuitry.

4. The controller of claim 1 wherein to identify the user in the space, the control circuitry to further:
identify one or more gestures provided by the user;
determine whether the user has indicated a change to an individual electrical load or to a change in the electrical loads included in a current user-specific scene; and
responsive to a determination that the user has indicated a change in the electrical loads included in the current user-specific scene, communicate one or more instructions to each of the electrical loads included in the current user-specific scene.

5. A method to control an amount of power provided to each of a plurality of electrical load devices included in each of a plurality of scenes, the method comprising:
identifying, by electrical load control circuitry, a user in a space via image acquisition circuitry communicatively coupled to the electrical load control circuitry;
determining, by the electrical load control circuitry, a unique identifier associated with the user; and
retrieving, by the electrical load control circuitry from communicatively coupled memory circuitry, data representative of one or more user-specific scenes associated with the space and with the unique identifier, wherein the one or more retrieved scenes include one or more user-specific electrical load control gestures and one or more user-specific commands associated with the unique identifier.

6. The method of claim 5 wherein identifying the user in the space further comprises:
identifying, by the electrical load control circuitry, the user in the space based on a skeletal outline using one or more images captured via the image acquisition circuitry.

7. The method of claim 5 wherein identifying the user in the space further comprises:
identifying, by the electrical load control circuitry, the user in the space based on facial recognition using one or more images captured via the image acquisition circuitry.

8. The method of claim 5 wherein identifying the user in the space further comprising:
identifying, by the electrical load control circuitry via the communicatively coupled image acquisition circuitry, one or more gestures provided by the user;
determining, by the electrical load control circuitry, whether the user has indicated a change to an individual electrical load or to a change in the electrical loads included in a current user-specific scene; and
responsive to a determination that the user has indicated a change in the electrical loads included in the current user-specific scene, communicating, by the electrical load control circuitry, one or more instructions to each of the electrical loads included in the current user-specific scene.

9. A non-transitory, machine-readable, storage device that includes instructions that, when executed by an electrical load control circuit, cause the electrical load control circuit to:
control an amount of power provided to each of a plurality of electrical load devices included in each of a plurality of scenes;
identify a user in a space via image acquisition circuitry communicatively coupled to the electrical load control circuitry;
determine a unique identifier associated with the user; and
retrieve, from communicatively coupled memory circuitry, data representative of one or more user-specific scenes, each of the scenes including a plurality of electrical load devices, associated with the space and with the unique identifier, wherein the one or more retrieved scenes include one or more user-specific electrical load control gestures and one or more user-specific commands associated with the unique identifier.

10. The non-transitory, machine-readable, storage device of claim 9 wherein the instructions that cause the electrical load control circuit to identify the user in the space further cause the electrical load control circuit to:
identify the user in the space based on a skeletal outline using one or more images captured via the image acquisition circuitry.

11. The non-transitory, machine-readable, storage device of claim 9 wherein the instructions that cause the electrical load control circuit to identify the user in the space further cause the electrical load control circuit to:
identify the user in the space based on facial recognition using one or more images captured via the image acquisition circuitry.

12. The non-transitory, machine-readable, storage device of claim 9 wherein the instructions that cause the electrical load control circuit to identify the user in the space further cause the electrical load control circuit to:
identify, via the communicatively coupled image acquisition circuitry, one or more gestures provided by the user;
determine whether the user has indicated a change to an individual electrical load or to a change in the electrical loads included in a current user-specific scene; and
responsive to a determination that the user has indicated a change in the electrical loads included in the current user-specific scene, communicate one or more instructions to each of the electrical loads included in the current user-specific scene.

Assignees

• Lutron Tech Co Llc

Inventors

• Jain Soumya
• Zizza Michael J
• Nill John

Classifications

• G06F3/017 Primary

  Gesture based interaction, e.g. based on a set of recognized hand gestures (interaction based on gestures traced on a digitiser G06F3/04883) · CPC title

• G06T7/20

  Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) · CPC title

• G05B15/02

  electric · CPC title

• H04N13/204

  using stereoscopic image cameras (stereoscopic photography G03B35/00) · CPC title

• G06T7/73

  using feature-based methods · CPC title