Circadian-friendly LED light sources

US10955608B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10955608-B2
Application numberUS-201916397001-A
CountryUS
Kind codeB2
Filing dateApr 29, 2019
Priority dateAug 29, 2013
Publication dateMar 23, 2021
Grant dateMar 23, 2021

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

Methods and apparatus for providing circadian-friendly LED light sources are disclosed. A light source is formed to include a first LED emission (e.g., one or more LEDs emitting a first spectrum) and a second LED emission (e.g., one or more LEDs emitting a second spectrum) wherein the first and second LED emissions are combined in a first ratio and in a second ratio such that while changing from the first ratio to the second ratio the relative circadian stimulation is varied while maintaining a color rendering index above 80.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for controlling circadian stimulation (CS) in a location, said method comprising: (a) obtaining data on at least one measurable parameter in said location; (b) determining a first spectrum of light to increase CS, and a second spectrum of light to decrease said CS; and (c) causing at least one lighting device positioned at said location to switch between said first spectrum and said second spectrum in accordance with said data, wherein said lighting device comprises at least blue LEDs and violet LEDs, wherein the ratio of emissions from said blue LEDs to said violet LEDs is greater in said first spectrum than in said second spectrum. 2. The method of claim 1 , wherein step (a) comprises using machine learning to learn first habits and second habits of a subject from said data, and wherein step (c) comprises switching between said first spectrum and said second spectrum when said subject demonstrates said first habits or said second habits, respectively. 3. The method of claim 2 , wherein said first and second habits are correlated to time of day, and wherein, if said first habits or said second habits are demonstrated outside of their correlated time of day, then said at least one lighting device is caused to emit said second spectrum or said first spectrum, respectively. 4. The method of claim 2 , wherein said at least one measurable parameter is selected from one or more of the following: presence of subject in said location, movement of subject in said location, level of activity of subject, time of day, weather, change in weather, or outdoor light. 5. The method of claim 2 , wherein said subject is a person in a nursing home, or wherein said subject is a worker working a night shift, or wherein said subject is a person traveling across time zones. 6. The method of claim 2 , wherein step (b) involves receiving preference input from said subject. 7. The method of claim 2 , wherein said first habits are awakening habits and second habits are retiring habits. 8. The method of claim 1 , wherein said first and second spectrums have a color rendering index above 80. 9. The method of claim 1 , wherein said first spectrum has a first fraction of SPD between 440 and 500 nm, and said second spectrum has a second fraction of SPD between 440 and 500 nm, wherein said first fraction is greater than said second fraction. 10. The method of claim 9 , wherein said first fraction is at least 0.1 and said second fraction is no greater than 0.06. 11. The method of claim 1 , wherein said blue LEDs and said violet LEDs are independently driven. 12. The method of claim 11 , wherein a filter is also used to form said second spectrum. 13. The method of claim 12 , wherein said filter essentially absorbs all light between 450 and 490 nm. 14. The method of claim 13 , wherein light emitted from said lighting device with and without said filter are observed by human viewers as having substantially the same chromaticity. 15. The method of claim 1 , wherein step (c) also comprises at least one of reducing correlated color temperature (CCT) from said first spectrum to said second spectrum, or reducing light intensity of said lighting device from said first spectrum to said second spectrum. 16. A system for controlling circadian stimulation (CS) in a location, said system comprising: one or more sensors for obtaining data on at least one measurable parameter in said location; at least one lighting device positioned at said location to switch between a first spectrum and a second spectrum in accordance with said data, wherein said lighting device comprises at least blue LEDs and violet LEDs, wherein the ratio of emissions from said blue LEDs to said violet LEDs is greater in said first spectrum than in said second spectrum, wherein said first spectrum is configured to increase CS, and said second spectrum is configured to decrease said CS. 17. The system of claim 16 , further comprising a processor configured to use machine learning to learn first habits and second habits of a subject from said data, and to cause said at least one lighting device to switch between said first spectrum and said second spectrum when said subject demonstrates said first habits or said second habits, respectively. 18. The system of claim 17 , wherein said first and second habits are correlated to time of day, and wherein, if said first habits or said second habits are demonstrated outside of their correlated time of day, then said at least one lighting device is caused to emit said second spectrum or said first spectrum, respectively. 19. The system of claim 16 , wherein said blue LEDs and said violet LEDs are independently driven in said at least one lighting device. 20. The system of claim 19 , wherein said at least one lighting device also comprises a filter which is configured to emit said second spectrum.

Assignees

Inventors

Classifications

  • comprising an assembly of point-like light sources · CPC title

  • Control techniques providing energy savings, e.g. smart controller or presence detection · CPC title

  • G02B6/0073Primary

    Light emitting diode [LED] · CPC title

  • A61M21/00Primary

    Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis · CPC title

  • comprising a two-dimensional [2D] array of point-like light-generating elements · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US10955608B2 cover?
Methods and apparatus for providing circadian-friendly LED light sources are disclosed. A light source is formed to include a first LED emission (e.g., one or more LEDs emitting a first spectrum) and a second LED emission (e.g., one or more LEDs emitting a second spectrum) wherein the first and second LED emissions are combined in a first ratio and in a second ratio such that while changing fro…
Who is the assignee on this patent?
Soraa Inc, Ecosense Lighting Inc
What technology area does this patent fall under?
Primary CPC classification G02B6/0073. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 23 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 7 related publications on this page (citations in our corpus or others sharing the same primary CPC).