Abstract: A circadian health system (CHS) provides for improving the health of Alzheimer's patients and other persons by controlling their exposure to circadian lighting. Circadian sensor devices (CSDs) are distributed in a living space, e.g., at about eye-level positions on respective walls of room. Each CSD includes a spectral sensor for measuring the intensity of light at various wavelength bands. Captured spectra can be compared to circadian light signatures so that the sources of circadian light can be identified. The identifications then allow predetermined high-resolution, e.g., 5 nm, spectra in the circadian wavelengths of 450-500 nm to be determined. The spectra can then be used to control circadian lighting to provide prescribed doses of circadian stimulus.

Abstract: Circadian health recommendations and/or automation instructions and spectral data on which they are based can be provided to a user through a mobile device that lacks a spectral sensor. A user mobile device lacking a spectral data uploads place and time data to a cloud-based circadian health system. A light-exposure model of the circadian health system estimates spectral data values based on the place and time data. The light-exposure model’s estimation can be based on data received by the circadian health system based on user devices equipped with spectral sensors and from other sources. A relatively small number of mobile user devices (with spectral sensors) can thus provide for spectral value estimates for a relatively large population of mobile user devices that lack spectral sensors—greatly expanding the range and number of people that benefit from improved circadian health.

Abstract: A circadian health system (CHS) provides for improving the health of Alzheimer's patients and other persons by controlling their exposure to circadian lighting. Circadian sensor devices (CSDs) are distributed in a living space, e.g., at about eye-level positions on respective walls of room. Each CSD includes a spectral sensor for measuring the intensity of light at various wavelength bands. Captured spectra can be compared to circadian light signatures so that the sources of circadian light can be identified. The identifications then allow predetermined high-resolution, e.g., 5 nm, spectra in the circadian wavelengths of 450-500 nm to be determined. The spectra can then be used to control circadian lighting to provide prescribed doses of circadian stimulus.

Abstract: A daylight harvesting system includes a daylight harvester device that distinguishes the natural and artificial contributions to the light in a workspace. Distinguishing the contributions allows the values of the contributions to be combined in ways other than linearly summing them to obtain the total light. For example, when the natural light increases, the artificial light may be reduced by less than the natural-light increase to mitigate glare and/or shadows and other artifacts that might otherwise be present and objectionable. The daylight harvesting system can include a human-based sensor located in a workspace, e.g., on or close to a user, so the measurements it takes are not adversely affected by spatial variations across a room in the natural and artificial lighting.

Abstract: A daylight harvesting system includes a daylight harvester device that distinguishes the natural and artificial contributions to the light in a workspace. Distinguishing the contributions allows the values of the contributions to be combined in ways other than linearly summing them to obtain the total light. For example, when the natural light increases, the artificial light may be reduced by less than the natural-light increase to mitigate glare and/or shadows and other artifacts that might otherwise be present and objectionable. The daylight harvesting system can include a human-based sensor located in a workspace, e.g., on or close to a user, so the measurements it takes are not adversely affected by spatial variations across a room in the natural and artificial lighting.

Abstract: A daylight harvesting system includes a daylight harvester device that distinguishes the natural and artificial contributions to the light in a workspace. Distinguishing the contributions allows the values of the contributions to be combined in ways other than linearly summing them to obtain the total light. For example, when the natural light increases, the artificial light may be reduced by less than the natural-light increase to mitigate glare and/or shadows and other artifacts that might otherwise be present and objectionable. The daylight harvesting system can include a human-based sensor located in a workspace, e.g., on or close to a user, so the measurements it takes are not adversely affected by spatial variations across a room in the natural and artificial lighting.

Abstract: A daylight harvesting system includes a daylight harvester device that distinguishes the natural and artificial contributions to the light in a workspace. Distinguishing the contributions allows the values of the contributions to be combined in ways other than linearly summing them to obtain the total light. For example, when the natural light increases, the artificial light may be reduced by less than the natural-light increase to mitigate glare and/or shadows and other artifacts that might otherwise be present and objectionable. The daylight harvesting system can include a human-based sensor located in a workspace, e.g., on or close to a user, so the measurements it takes are not adversely affected by spatial variations across a room in the natural and artificial lighting.

Abstract: A lighting system including fixture lamps, e.g., ceiling mounted, and movable light sources, e.g., task lamps. The task lamps include illuminance sensors arranged to detect ambient light including light emitted by one or more fixture lamps and available daylight. Control data is generated based at least in part on the illuminance data. The resulting control data is transmitted from the task lamp to a fixture lamp and a window system so that it can be used to control the amount of light emitted by the fixture lamp and amount of daylight transmitted through the window system. This arrangement allows daylight harvesting while ensuring that the amount of light provided to workspaces (at which task lamps are located) is satisfactory.

Abstract: A lighting system including fixture lamps, e.g., ceiling mounted, and movable light sources, e.g., task lamps. The task lamps include illuminance sensors arranged to detect ambient light including light emitted by one or more fixture lamps and available daylight. Control data is generated based at least in part on the illuminance data. The resulting control data is transmitted from the task lamp to a fixture lamp and a window system so that it can be used to control the amount of light emitted by the fixture lamp and amount of daylight transmitted through the window system. This arrangement allows daylight harvesting while ensuring that the amount of light provided to workspaces (at which task lamps are located) is satisfactory.