Gesture-based load control

US2021342011A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2021342011-A1
Application numberUS-202117378315-A
CountryUS
Kind codeA1
Filing dateJul 16, 2021
Priority dateMar 15, 2013
Publication dateNov 4, 2021
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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

Opening claim text (preview).

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 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 retrieve the data representative of the one or more user-specific scenes associated with the space and with the unique identifier, the control circuitry to further: retrieve data representative of the 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. 5 . 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. 6 . 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 associated with the unique identifier. 7 . The method of claim 6 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. 8 . The method of claim 6 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. 9 . The method of claim 6 wherein retrieving the data representative of the one or more user-specific scenes associated with the space and with the unique identifier further comprises: retrieving, by the electrical load control circuitry from communicatively coupled memory circuitry, data representative of the 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. 10 . The method of claim 6 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. 11 . 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 associated with the unique identifier. 12 . The non-transitory, machine-readable, storage device of claim 11 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. 13 . The non-transitory, machine-readable, storage device of claim 11 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. 14 . The non-transitory, machine-readable, storage device of claim 11 wherein the instructions that cause the electrical load control circuit to retrieve the data representative of the one or more user-specific scenes associated with the space and with the unique identifier further cause the electrical load control circuit to: retrieve, from communicatively coupled memory circuitry, data representative of the 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. 15 . The non-transitory, machine-readable, storage device of claim 11 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,

Assignees

Inventors

Classifications

  • Computational photography systems, e.g. light-field imaging systems · CPC title

  • for generating image signals from infrared radiation only · CPC title

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

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

  • using feature-based methods · CPC title

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What does patent US2021342011A1 cover?
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…
Who is the assignee on this patent?
Lutron Tech Co Llc
What technology area does this patent fall under?
Primary CPC classification G06F3/017. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Nov 04 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).