Lighting control based on sweat sensing

Abstract

A lighting control method includes receiving sweat data from a sensor in the vicinity of a person in an area. The sensor is configured to sense sweat generated by a person. The method further includes processing the sweat data to determine one or more parameters related to one or more sweat components of the sweat, and adjusting a spectral distribution of the illumination light based at least on the one or more parameters, where the illumination light is provided by one or more illumination devices in the region.

Description

Technical Field

[0001] The present disclosure relates generally to lighting control, and more particularly to lighting control based on sweat sensing. Background Art

[0002] In some cases, a person's physiological and psychological state may be affected by lighting. To improve a person's health by modifying lighting, it may be desirable to first determine their physiological and psychological state. In some cases, sweat can carry information indicative of a person's physiological and psychological state. Because sweat is readily accessible on the surface of a person's skin, sensing sweat can provide a non-invasive way to obtain information that can be used to monitor and improve a person's physiological and psychological state. Therefore, a solution that enables lighting control based on information obtained from sweat to improve a person's health is desirable. Summary of the Invention

[0003] The present disclosure relates generally to lighting control, and more particularly to sweat-sensing-based lighting control. In an example embodiment, a lighting control method includes receiving sweat data from a sensor attached to a person in an area. The sensor is configured to sense sweat produced by the person. The method also includes processing the sweat data to determine one or more parameters associated with one or more sweat components of the sweat, and adjusting the spectral distribution of illumination light provided by one or more lighting devices in the area based at least on the one or more parameters.

[0004] In another example embodiment, a lighting control system includes a controller configured to receive sweat data from a sensor attached to a person in an area. The sensor is configured to sense sweat generated by the person. The controller is further configured to process the sweat data to determine one or more parameters associated with one or more sweat components of the sweat. The controller is further configured to adjust the spectral distribution of illumination light provided by one or more lighting devices in the area based at least on the one or more parameters.

[0005] These and other aspects, objects, features and embodiments will be apparent from the following description and appended claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] Reference will now be made to the accompanying drawings, which are not necessarily drawn to scale, and in which:

[0007] Figure 1 A lighting system for controlling lighting based on sweat data according to an example embodiment is shown;

[0008] Figure 2 shows the spectral distribution of light provided by the lighting system according to example embodiments;

[0009] Figure 3A method of lighting control based on sweat data from a sensor according to an example embodiment is shown; and

[0010] Figure 4 A method of lighting control based on sweat data from a luminaire-integrated sensor according to another example embodiment is shown.

[0011] The accompanying drawings illustrate only example embodiments and therefore should not be considered limiting of the scope. The elements and features shown in the drawings are not necessarily to scale, with emphasis instead placed on clearly illustrating the principles of the example embodiments. Additionally, certain dimensions or positions may be exaggerated to help visually convey these principles. In the accompanying drawings, the same reference numerals used in different figures may indicate similar or corresponding, but not necessarily identical, elements. DETAILED DESCRIPTION

[0012] In the following paragraphs, example embodiments will be described in more detail with reference to the accompanying drawings. In the description, well-known components, methods and / or processing techniques are omitted or briefly described. In addition, mentioning various (multiple) features of the embodiment does not mean that all embodiments must include the mentioned (multiple) features.

[0013] Figure 1 A lighting system for controlling lighting based on sweat data according to an example embodiment is shown. In some example embodiments, system 100 may include lighting devices 102, 104 (e.g., lamps). Lighting devices 102, 104 may be located in area 108. For example, area 108 may be a room or a hallway. Person 110 may be in area 108. Sensor 112 may be near person 110 (e.g., a Figure 1 10 is shown attached to person 110, or in lighting device 102 or another device in area 108). For example, sensor 112 may include one or more sweat sensors that sense sweat produced by person 110. For example, sensor 112 may sense sweat continuously or at fixed intervals. Sensor 112 may also include other sensors, such as a body temperature sensor, a heart rate sensor, a breathing sensor, etc. Sensor 112 may be attached to the skin of person 110, for example, by tape or a band. Sensor 112 may be arranged in one or more electronic tattoos, bands, and / or patches. Alternatively, sensor 112 may be built into the clothing of person 110 so that sensor 112 can be in contact with the person's skin, or otherwise positioned to sense sweat produced by person 110.

[0014] In some example embodiments, the lighting device 102 may include a light module 114, which may include light source units 120, 122, and 124. The light source unit 120 may include a plurality of light emitting diodes (LEDs) that are controllable to emit illumination light (i.e., illumination white light). For example, the light source unit 120 may include LEDs that can emit light having different wavelengths. To illustrate, the light source unit 120 may include one or more LEDs that can emit red light having a wavelength in the general range of 600-720 nanometers (nm), one or more LEDs that can emit green light having a wavelength in the general range of 520-560 nm, one or more LEDs that can emit blue light having a wavelength in the general range of 420-480 nm, one or more LEDs that can emit cyan light having a wavelength in the general range of 480-520 nm, one or more LEDs that can emit yellow light having a wavelength in the general range of 560-580 nm, and so on. By controlling the contribution of each light provided by the LEDs of the light source unit 120, the light device 102 can provide illumination light (i.e., illumination white light) having a desired intensity, correlated color temperature (CCT), and / or spatial distribution. For example, the CCT of the illumination light provided by the lighting device 102 can range from 1800K to 6500K and can have a color rendering index (CRI) of at least 70.

[0015] In some example embodiments, light source unit 122 may include one or more LEDs that emit infrared light. The LEDs of light source unit 122 may emit infrared light having one or more wavelength components within a range of 720 nm or greater. For example, the infrared light provided by light source unit 122 may be near-infrared light. For illustration, the near-infrared light provided by light source unit 122 may be within a range of between 720 nm and 1400 nm. Alternatively, the infrared light may have a wavelength of 1400 nm or greater.

[0016] In some example embodiments, the light source unit 124 may include one or more LEDs that emit ultraviolet (UV) light. The LEDs of the light source unit 124 may emit UV light having one or more wavelength components below 390 nm. For example, the UV light provided by the light source unit 124 may be UV-C, which can effectively kill bacteria.

[0017] In some example embodiments, the lighting device 102 may further include a controller 116 capable of controlling the operation of the lighting device 102. For example, the controller 116 may control the light module 114 to control the light provided by the lighting device 102. To illustrate, the controller 116 may control the intensity, CCT, spectral distribution, and spatial distribution of the illumination light provided by the light source unit 120. As another example, the controller 116 may control whether the light provided by the light module 114 includes infrared light and / or UV-C light in addition to the illumination light provided by the light source unit 120.

[0018] In some example embodiments, the controller 116 may include a microprocessor 126, a memory device 128 (e.g., a flash memory unit), and a communication unit 130. The memory device 128 may store software code that is executable by the microprocessor 126 to perform the operations described herein with respect to the controller 116. The memory device 128 may also store data used in the execution of the executable software code or data generated by the execution of the executable software code. The controller 116 may use the communication unit 130 to send and receive data (e.g., sensor data, lighting information, and lighting commands) wirelessly (e.g., Wi-Fi, BLE, ZigBee, UWB, and / or cellular networks) and / or via one or more wired connections (e.g., Ethernet).

[0019] In some example embodiments, lighting device 102 may include an integrated sensor 118, which may include one or more sensor units. Integrated sensor 118 may provide sensor data to controller 116, which may control the light provided by lighting device 102 and the light provided by lighting device 104 based on the sensor data. For illustration, integrated sensor 118 may include position sensor unit 144, activity sensor unit 146, volatile organic compound (VOC) sensor unit 148, and / or other sensor units. For example, integrated sensor 118 may include a thermopile sensor, a passive infrared sensor, and / or another sensor that may be used as position sensor unit 144 to detect whether area 108 is occupied and determine the location of person 110 in area 108.

[0020] In some example embodiments, integrated sensors 118 may also include a microphone, a thermopile sensor, a humidity sensor, a temperature sensor, and / or another sensor that operates alone or in conjunction with activity sensor unit 146 to determine the activity of person 110. For example, activity sensor unit 146 may be used to determine whether person 110 has just finished exercising based on the breathing rate (i.e., respiratory rate) of person 110, the sounds emitted by person 110, the blood pressure of person 110, etc. As another example, activity sensor unit 146 may be used to determine whether person 110 has just showered based on the humidity in the air and / or the sounds associated with showering. As another example, activity sensor unit 146 may be used to determine whether person 110 has applied deodorant based on the sounds associated with spraying deodorant. VOC sensor unit 148 may detect compounds in the air (such as cortisol) that may be present in sweat produced by person 110 or may be produced by bacteria acting on sweat produced by person 110. For example, VOC sensor unit 148 may be an electronic nose (e-nose) device that may include a sensor array that senses substances in the air (e.g., VOCs emitted by a person). For example, sensor data from VOC sensor unit 148 may indicate or be used to determine the amount or concentration of cortisol and / or other components of sweat produced by person 110 based on the detection of substances in the air in area 108.

[0021] In some example embodiments, lighting device 104 may include a light module 132, a controller 134, and an integrated sensor 136. Light module 132 may include different light source units corresponding to light source units 120, 124, 126 of lighting device 102. Controller 134 may include a microprocessor, a memory device, and a communication unit corresponding to microprocessor 126, memory device 128, and communication unit 130 of controller 116 of lighting device 102. Integrated sensor 136 may correspond to integrated sensor 118 of lighting device 102. In general, lighting device 104 may operate in the same manner as described with respect to lighting device 102.

[0022] In some example embodiments, sensor 112 may be attached to person 110 and may sense one or more substances (i.e., sweat components / biomarkers) in sweat produced by person 110. For example, sensor 112 may detect one or more ions or compounds (i.e., analytes) in sweat produced by person 110. As will be readily appreciated by those of ordinary skill in the art with the benefit of this disclosure, sensor 112 may electrically and / or optically detect the presence, amount, and / or concentration of an analyte in sweat. For example, sensor 112 may detect the presence, amount, and / or concentration of lactate in sweat produced by person 110. As another example, sensor 112 may detect the presence, amount, and / or concentration of cortisol in sweat produced by person 110. As another example, sensor 112 may detect the presence, amount, and / or concentration of sweat produced by person 110. As another example, sensor 112 may detect the presence, amount, and / or concentration of sodium, potassium, and / or chloride in sweat produced by person 110.

[0023] In some example embodiments, sensor 112 may transmit sensor data wirelessly (e.g., Wi-Fi, BLE, ZigBee, UWB, and / or a cellular network). The sensor data may include information sensed / detected, measured, and / or determined by sensor 112. For example, the sensor data may include information related to one or more of sweat generated by person 110, body temperature of person 110, heart rate of person 110, respiratory rate of person 110, etc. Sensor 112 may transmit the sensor data to lighting device 102, to lighting device 104, and / or to network device 106 (e.g., a server).

[0024] In some example embodiments, the controller 116 of the lighting device 102 may receive sensor data from the sensor 112 and process the sensor data. The controller 116 may control (e.g., adjust, turn off, turn on) the light provided by the lighting device 102 based on the sensor data. For illustration, the microprocessor 126 of the controller 116 may receive the sensor data via the communication unit 130 of the controller 116 and process the sensor data. The microprocessor 126 may control the light module 114 to adjust the light provided by the light module 114 based on the sensor data. For example, the sensor 112 may sense sweat continuously or at fixed intervals and send the sensor data to the lighting device 102, and the microprocessor 126 may control the light module 114 to adjust the illumination light provided by the lighting device 102 (e.g., change the spectral distribution of the light) continuously or at fixed intervals (e.g., every 1 minute, every 10 minutes, every 30 minutes, every hour).

[0025] In some example embodiments, the sensor data may include sweat data indicating the amount or concentration of sodium and / or potassium in sweat produced by person 110. Alternatively or additionally, the sensor data may include sweat data that can be used to determine the amount or concentration of sodium and / or potassium in sweat produced by person 110. Microprocessor 126 may receive and process the sensor data to extract or otherwise determine one or more parameters related to one or more substances in sweat (i.e., sweat constituents / biomarkers), such as the amount or concentration of sodium and / or potassium in sweat of person 110. Microprocessor 126 may determine from the parameters whether person 110 is dehydrated or well-hydrated. For example, because the sodium and potassium content of sweat decreases when a person is dehydrated, this information can be used to determine whether the person is dehydrated or well-hydrated. As another example, because the electrical conductivity of sweat changes proportionally to the amount of sodium in the sweat, this information can be used to indirectly determine whether the person is dehydrated or well-hydrated.

[0026] If microprocessor 126 determines that person 110 is dehydrated, microprocessor 126 may control light module 114 to reduce or shut off infrared light components that may be included in the light provided by light module 114. For example, microprocessor 126 may control light module 114 so that infrared light that may have been emitted by light source unit 122 of light module 114 is shut off or reduced in intensity. Shutting down or reducing the infrared light component of the light provided by light module 114 changes the spectral distribution of the light provided by light module 114, even though the spectral distribution of the illumination light emitted by light source unit 120 remains unchanged. Because the spectral distribution of the illumination light emitted by light source unit 120 remains unchanged, the CCT of the light provided by lighting device 102 remains the same. Generally speaking, the spectral distribution of light refers to the distribution of light energy at different wavelengths, which is readily understood by those skilled in the art. For example, a spectral distribution graph of light may show the intensity of light at different wavelengths.

[0027] In some example embodiments, if microprocessor 126 determines that person 110 is dehydrated, microprocessor 126 may control light module 114 to reduce the intensity of the light provided by light module 114. For example, microprocessor 126 may control light module 114 to change the spectral distribution of the light provided by light module 114 by reducing the intensity of one or more light components of the light provided by light module 114. To illustrate, microprocessor 126 may control light module 114 to reduce the intensity of blue light (e.g., 455-490 nm wavelength range) and red light (e.g., 625-720 nm wavelength range) in the light provided by light module 114. Although the spectral distribution of the light provided by light module 114 is changed, by adjusting the intensities of the blue light and the red light, which have a counteracting effect on the CCT, the CCT of the light may generally remain constant or within a range such that the change in the CCT of the light provided by light module 114 (e.g., 300K) is not noticeable to person 110.

[0028] In some example embodiments, if microprocessor 126 determines that person 110 is dehydrated, microprocessor 126 may control light module 114 and transmit lighting commands to other lighting devices in area 108 to provide, for example, guiding light toward an exit. If microprocessor 126 determines based on sensor data that person 110 is well hydrated, microprocessor 126 may control light module 114 to include infrared light (e.g., near infrared light) in the light provided by light module 114 or to increase the intensity of the infrared light (e.g., near infrared light) in the light. For example, microprocessor 126 may control light module 114 to cause light source unit 122 to begin emitting infrared light (e.g., near infrared light) or to increase the intensity of infrared light (e.g., near infrared light) already emitted by light source unit 122.

[0029] In some example embodiments, the controller 116 may extract or otherwise determine one or more parameters (such as the ratios of analytes in the sweat of the person 110) from the sensor data and control the light provided by the lighting device 102 based on these parameters. For example, the controller 116 may determine the ratio of sodium to potassium, the ratio of chloride to sodium, etc. The microprocessor 126 may determine, for example, whether the person 110 is dehydrated based on one or more of the analyte ratios and control the light provided by the light module 114 accordingly in the manner described above. The microprocessor 126 may also determine other information indicative of the physiological and / or psychological state of the person (e.g., stress level) based on the analyte ratios and control the light provided by the light module 114 accordingly in the manner described above.

[0030] In some example embodiments, the sensor data may include information indicating the amount or concentration of glucose in sweat produced by person 110. Alternatively or additionally, the sensor data may include information that can be used to determine the amount or concentration of glucose in sweat produced by person 110. Microprocessor 126 may receive and process the sensor data to extract or otherwise determine one or more parameters, such as the amount or concentration of glucose in the sweat of person 110. Microprocessor 126 may determine, based on the parameters, whether the glucose level of person 110 is normal, high, or low.

[0031] If microprocessor 126 determines that the glucose level of person 110 is low or below a glucose threshold, microprocessor 126 can control light module 114 to emit light, which can help promote the production of more cortisol by person 110. For example, the glucose threshold can be set to a desired value specific to person 110, or a desired value generally recommended for the population by, for example, a government or private health entity. Microprocessor 126 can control light module 114 so that light source unit 120 emits cyan light (e.g., light with a wavelength of approximately 500 nm) or increases the intensity of cyan light in the light provided by light module 114. The introduction of cyan light or the increase in the intensity of cyan light can change the spectral distribution of the light provided by lighting device 102.

[0032] In some example embodiments, microprocessor 126 may further control light module 114 to maintain the CCT of the light provided by light module 114 constant or within a range such that a change in the CCT of the light (e.g., 300K) caused by a change in cyan light is not noticeable to person 110. For example, microprocessor 126 may control light module 114 to introduce yellow light (e.g., light having a wavelength of approximately 590 nm) to offset the effect of cyan light.

[0033] Figure 2 Graph 200 shows a spectral distribution 202 of light provided by lighting device 102 according to an example embodiment. Figure 2 , the wavelength of light is represented on the horizontal axis, and the normalized amplitude value is represented on the vertical axis. For example, cyan light having a wavelength of approximately 500 nm, as indicated by arrow 204, may be introduced into the light provided by lighting device 102, and may result in a change in spectral distribution 202 of the light. Alternatively, the intensity of cyan light, which is already a component of the light provided by lighting device 102, may be increased, thereby resulting in a change in spectral distribution 202 of the light provided by lighting device 102. Yellow light having a wavelength of approximately 590 nm, as indicated by arrow 206, may be introduced into the light provided by lighting device 102, and may result in a change in spectral distribution 202 of the light. Alternatively, the intensity of yellow light, which is already a component of the light provided by lighting device 102, may be increased, thereby resulting in a change in spectral distribution 202 of the light provided by lighting device 102. As described above, yellow light may be introduced, or the intensity of yellow light may be increased, to offset the CCT change caused by the introduction of cyan light.

[0034] Reference again Figure 1, microprocessor 126 determines that the glucose level of person 110 is high, microprocessor 126 can control light module 114 to turn off or reduce the intensity of a light component of the light provided by light module 114 to help reduce cortisol production by person 110. For example, microprocessor 126 can control light module 114 to turn off the cyan light emitted by light source unit 120. Alternatively, microprocessor 126 can control light module 114 to reduce the intensity of the cyan light emitted by light source unit 120. Turning off or reducing the intensity of the cyan light changes the spectral distribution of the light provided by lighting device 102. In order to maintain the CCT of the light provided by lighting device 102 within a range such that changes in the CCT of the light are not noticeable to person 110, microprocessor 126 can control light module 114 to turn off or reduce the light component (e.g., yellow light) emitted by light source unit 120 to offset the effect of the change in the cyan light.

[0035] In some example embodiments, if microprocessor 126 determines that the glucose level of person 110 is high, microprocessor 126 may control light module 114 so that light source unit 124 emits UV-B light (e.g., 310 nm UV light) to help reduce glucose production in person 110. Introducing or increasing the UV light component in the light provided by light module 114 changes the spectral distribution of the light provided by light module 114, even though the spectral distribution of the illumination light emitted by light source unit 120 does not change. Because the spectral distribution of the illumination light emitted by light source unit 120 does not change due to the change in UV light, the CCT of the light provided by illumination device 102 can be maintained.

[0036] In some example embodiments, the sensor data may include information indicating the amount or concentration of lactate in sweat produced by person 110. Alternatively or additionally, the sensor data may include information that can be used to determine the amount or concentration of lactate in sweat produced by person 110. Microprocessor 126 may receive and process the sensor data to extract or otherwise determine one or more parameters, such as the amount or concentration of lactate in sweat from person 110. Based on the parameters, microprocessor 126 may determine whether the lactate level or concentration is normal, high, or low. If microprocessor 126 determines that the lactate level or concentration is too high or exceeds a lactate threshold (which may indicate inflammation), microprocessor 126 may control light module 114 to emit near-infrared light (e.g., 720-1000 nm wavelength) or increase the intensity of the near-infrared light in the light provided by light module 114. For example, the lactate threshold may be set to a desired value specific to person 110, or a desired value generally recommended for the general population, such as by a government or private health entity. Turning on or increasing the infrared light emitted by light source unit 122 changes the spectral distribution of the light provided by light module 114, while the spectral distribution of the illumination light emitted by light source unit 120 remains unchanged. Because the spectral distribution of the illumination light emitted by light source unit 120 remains unchanged, the CCT of the light provided by lighting device 102 is the same before and after the introduction of infrared light or the increase in the intensity of the infrared light.

[0037] In some example embodiments, the sensor data may include information indicating the amount or concentration of cortisol in sweat produced by person 110. Alternatively or additionally, the sensor data may include information that can be used to determine the amount or concentration of cortisol in sweat produced by person 110. Microprocessor 126 may receive and process the sensor data to extract or otherwise determine one or more parameters, such as the amount or concentration of cortisol in sweat from person 110. If microprocessor 126 determines that the cortisol level or concentration is low or below a low cortisol threshold, microprocessor 126 may control light module 114 to emit light, which may help encourage person 110 to produce more cortisol. For example, the low cortisol threshold may be set to a desired value specific to person 110 (e.g., based on advice from a medical professional) or to a desired value generally recommended for the general population by, for example, a government or private health entity. To help increase cortisol production by person 110, microprocessor 126 may control light module 114 to introduce cyan light (e.g., light with a wavelength of approximately 500 nm) or to increase the intensity of the cyan light in the light provided by light module 114. The introduction of cyan light or the increase in the intensity of cyan light may change the spectral distribution of the light provided by the illumination device 102 .

[0038] In some example embodiments, microprocessor 126 may further control light module 114 to maintain the CCT of the light provided by light module 114 constant or within a range such that a change in the CCT of the light (e.g., 300K) caused by a change in cyan light is not noticeable to person 110. For example, microprocessor 126 may control light module 114 to introduce yellow light (e.g., light having a wavelength of approximately 590 nm) to offset the effect of cyan light.

[0039] If the microprocessor 126 determines (e.g., due to sleep apnea) that the cortisol level or concentration is high or above a high cortisol threshold, the microprocessor 126 can control the light module 114 to reduce or turn off the cyan light (e.g., light having a wavelength of approximately 500 nm) in the light provided by the light module 114. For example, the high cortisol threshold can be set to a desired value specific to the person 110, or a desired value generally recommended for the general population, such as by a government or private health entity. Reducing the intensity of the cyan light or turning off the cyan light can change the spectral distribution of the light provided by the lighting device 102. To maintain the CCT of the light provided by the lighting device 102 within a range such that the CCT change is not noticeable to the person 110, the microprocessor 126 can control the light module 114 to reduce the intensity of another light component (e.g., yellow light) of the light provided by the light module 114.

[0040] In some example embodiments, the sensor data may include information indicating or usable for determining the sweat rate (i.e., sweat rate) of person 110. Microprocessor 126 may receive and process the sensor data to extract or otherwise determine one or more parameters, such as the sweat rate of person 110. Because bacteria (e.g., Staphylococcus, Corynebacterium, and / or Propionibacterium) on the skin (e.g., scalp) of person 110 produce more odor at higher sweat rates, if microprocessor 126 determines that the sweat rate of person 110 exceeds a threshold (e.g., 2 liters per day), microprocessor 126 may control light module 114 to emit light that may help kill some of the bacteria. For example, microprocessor 126 may control light module 114 so that light source unit 120 begins emitting or increases the intensity of violet light (e.g., in the wavelength range of 390-455 nm). The violet light may change the spectral distribution of the light provided by lighting device 102. To counteract the effect of violet light on the CCT of the light provided by light module 114, microprocessor 126 can control light module 114 so that light source unit 120 emits, for example, orange light and / or red light. For example, the CCT of the light provided by light module 114 can be maintained within a range (e.g., 300K) such that changes in the CCT of the light provided by lighting device 102 are not noticeable to person 110.

[0041] In some example embodiments, if microprocessor 126 determines that the sweat rate of person 110 exceeds a threshold value (e.g., 1 liter per day), microprocessor 126 may control light module 114 so that light source unit 124 emits or increases the intensity of UV light to kill bacteria on the skin (e.g., scalp) of person 110. Introducing or increasing the UV light component in the light provided by light module 114 changes the spectral distribution of the light provided by light module 114, even though the spectral distribution of the illumination light emitted by light source unit 120 does not change. Because the spectral distribution of the illumination light emitted by light source unit 120 does not change due to the change in UV light, the CCT of the light provided by illumination device 102 can be maintained.

[0042] In some example embodiments, the sensor data may include information that indicates or can be used to determine whether sweat produced by person 110 is normal sweat or stress sweat. Normal sweat is typically produced by a person's eccrine sweat glands when the person's body is hot. Normal sweat generally contains water, sodium, and potassium. Stress sweat is produced by a person's apocrine sweat glands as a result of emotions such as anxiety, stress, or excitement. Stress sweat generally resembles milk more than normal sweat and includes fatty acids and proteins that are typically not present in normal sweat.

[0043] In some example embodiments, microprocessor 126 may receive and process sensor data to extract or otherwise determine one or more parameters indicating whether sweat produced by person 110 is normal sweat or stress sweat. If microprocessor 126 determines that sweat produced by person 110 is stress sweat, microprocessor 126 may control light module 114 to emit light. Microprocessor 126 may control light module 114 to reduce or turn off cyan light (e.g., light with a wavelength of approximately 500 nm) in the light provided by light module 114. Reducing the intensity of cyan light or turning off cyan light may change the spectral distribution of the light provided by lighting device 102. To maintain the CCT of the light provided by lighting device 102 within a range that makes the CCT change imperceptible to person 110, microprocessor 126 may control light module 114 to reduce the intensity of another light component (e.g., yellow light) of the light provided by light module 114. For example, microprocessor 126 may control light module 114 so that the CCT of the light provided by lighting device 102 changes by less than 300K.

[0044] In some example embodiments, the controller 116 of the lighting device 102 may control the spatial distribution of light provided by the lighting device 102 based on one or more parameters extracted and / or determined from the sensor data received from the sensor 112. The spatial distribution of light generally refers to the direction, shape, width and / or pattern of light provided by one or more lighting devices, which may be readily understood by one of ordinary skill in the art. Instead of or in addition to changing the spectral distribution of the light, the controller 116 may change the spatial distribution of the light provided by the lighting device 102. To illustrate, in response to determining that the person 110 is dehydrated as described above, the controller 116 may control the light module 114 to change the spatial distribution of light provided by the lighting device 102 from the first spatial distribution 138 to the second spatial distribution 138. Figure 1 , or to another spatial distribution. Alternatively, controller 116 can control light module 114 to change the spatial distribution of light provided by lighting device 102 from second spatial distribution 140 to first spatial distribution 138 or to another spatial distribution. Controller 116 can control the orientation of light module 114, or turn on some LEDs of light source unit 120 of light module 114 and turn off other LEDs to change the spatial distribution of light provided by lighting device 102.

[0045] In some example embodiments, lighting device 102 may operate as a master lighting device, with controller 116 controlling the operation of other lighting devices, including lighting device 104 in lighting system 100, to control the light provided by lighting system 100. To illustrate, controller 116 of lighting device 102 may control the light provided by lighting device 102 and the light provided by lighting device 104 based on one or more parameters extracted and / or determined from sensor data received from sensor 112. For example, controller 116 may transmit a lighting control command generated based on the one or more parameters to lighting device 104, and controller 134 of lighting device 104 may receive the lighting control command and control the light provided by light module 132 of lighting device 104 accordingly.

[0046] In some example embodiments, controller 116 of lighting device 102 may control other lighting devices of lighting system 100 (including lighting device 104) to control the spatial distribution of light provided by lighting system 100. For example, controller 116 may determine, based on received sensor data, that person 110 is stressed. In response, controller 116 may control light module 114 and transmit lighting control commands to lighting device 104 to adjust the spatial distribution of light provided by each of lighting devices 102, 104. To illustrate, controller 116 may control light module 114 of lighting device 102 such that the light provided by lighting device 102 is dimmer than the light provided by lighting device 104, thereby changing the spatial distribution of light provided by lighting system 100. Alternatively, controller 116 may control light module 132 of lighting device 104 such that the light provided by lighting device 104 is dimmer than the light provided by lighting device 102, thereby changing the spatial distribution of light provided by lighting system 100.

[0047] In some example embodiments, sensor 112 may include a temperature sensor that measures the temperature of person 110. Sensor 112 may also include a heart rate sensor that measures the heart rate of person 110. Sensor 112 may also include a respiration sensor that measures the respiration rate of person 110. The sensor data sent by sensor 112 may indicate the temperature, heart rate (e.g., absolute heart rate and / or heart rate variability), blood pressure, and / or respiration rate of person 110. In addition to the sweat data received from sensor 112, controller 116 may also adjust the spectral distribution and spatial distribution of light provided by lighting device 102 based on the temperature, heart rate, blood pressure, and / or respiration rate of person 110. For example, a relatively high body temperature and / or heart rate may provide additional indication that person 110 is dehydrated, and controller 116 may adjust the spectral distribution and / or spatial distribution of light provided by lighting device 102 to alleviate dehydration of person 110 as described above.

[0048] In some example embodiments, controller 116 may adjust the spectral distribution and spatial distribution of light provided by lighting devices 102 and / or lighting devices 104 based on sensor data from integrated sensor 118 in the same manner as described with respect to sensor data from sensor 112. As described above, the sensor data from integrated sensor 118 may include information from position sensor unit 144, activity sensor unit 146, and / or VOC sensor unit 148. Controller 116 may adjust the spectral distribution and / or spatial distribution of light provided by lighting devices 102, 104 based on one or more parameters extracted or otherwise determined from sweat data received from VOC sensor unit 148. For example, the sensor data from integrated sensor 118 may include sweat data from VOC sensor unit 148, which may indicate or be used to determine the amount or concentration of cortisol and / or other sweat constituents in sweat produced by person 110.

[0049] In some example embodiments, microprocessor 126 may control VOC sensor unit 148 to perform sensing of airborne compounds (e.g., cortisol) after determining that there is a good likelihood of reliably detecting sweat components of sweat produced by person 110. Alternatively or additionally, before adjusting the light provided by lighting devices 102, 104 based on the sweat data from VOC sensor unit 148, microprocessor 126 of controller 116 may determine whether the sweat data from VOC sensor unit 148 is reliable based on information from position sensor unit 144 and / or activity sensor unit 146. For example, before processing and / or using the sweat data from VOC sensor unit 148, microprocessor 126 may determine whether area 108 is occupied based on information from position sensor unit 144. To illustrate, if area 108 is occupied, there is a higher likelihood that the one or more compounds detected by VOC sensor unit 148 are from sweat produced by an occupant (e.g., person 110).

[0050] As another example, microprocessor 126 may determine whether person 110 has just completed exercise based on information from activity sensor unit 146 (e.g., from a thermopile sensor) before processing and / or using sweat data from VOC sensor unit 148. To illustrate, if person 110 has just completed exercise (e.g., based on heart rate and / or breathing rate), then there is a higher likelihood that the one or more compounds detected by VOC sensor unit 148 are from sweat produced by person 110.

[0051] As yet another example, before processing and / or using sweat data from VOC sensor unit 148, microprocessor 126 may determine, based on information from activity sensor unit 146 (e.g., from a moisture sensor and microphone), whether person 110 has just showered and has not used deodorant (which may affect the reliability of sensing by VOC sensor unit 148). To illustrate, if person 110 has just finished showering and has not yet used deodorant, then the likelihood that one or more sweat components detected by VOC sensor unit 148 are from sweat generated by person 110 rather than from deodorant is relatively high.

[0052] In some example embodiments, information from the position sensor unit 144 can be used in conjunction with information from the activity sensor unit 146 to determine the likelihood that the sweat data from the VOC sensor unit 148 is reliable. To illustrate, the controller 116 can determine the position of the person 110 relative to the lighting device 102 before using the sweat data from the VOC sensor unit 148. The controller 116 can determine the position of the person 110 relative to the lighting device 102 based on the information from the position sensor unit 144 of the integrated sensor 118. For example, the controller 116 can determine the position of the person 110 based on IR energy detected by the thermopile sensor of the position sensor unit 144. Alternatively or additionally, the controller 116 can determine the position of the person 110 based on Wi-Fi sensing, sound processing, etc., as would be readily apparent to one of ordinary skill in the art having the benefit of this disclosure.

[0053] If the controller 116 determines that the person 110 is close enough to the lighting device 102 (e.g., within 1 foot of the lighting device 102 horizontally) so that the VOC sensor unit 148 can reliably sense one or more sweat compounds in the air from sweat produced by the person 110 (e.g., sweat produced by the apocrine glands of the person 110), the controller 116 can use the sweat data just received from the VOC sensor unit 148. Alternatively, if the controller 116 determines that the person 110 is close enough to the lighting device 102 so that the VOC sensor unit 148 can reliably sense one or more sweat compounds in the air from sweat produced by the person 110 (e.g., sweat produced by the apocrine glands of the person 110), the controller 116 can instruct the VOC sensor unit 148 to sense the sweat compound(s) and use the sweat data received from the VOC sensor unit 148 to extract or determine one or more parameters (e.g., the amount or concentration of the compound, whether the person 110 is dehydrated, etc.). The controller 116 may adjust the spectral distribution and / or spatial distribution of light provided by the lighting devices 102 , 104 based on one or more parameters in the manner described above with respect to parameters obtained from the sensor 112 attached to the person 110 .

[0054] In some example embodiments, if the controller 116 determines that the person 110 is close to the lighting device 102 (e.g., horizontally within 1 foot of the lighting device 102) based on information from the position sensor unit 144, the controller 116 may control the light module 114 to emit, for example, infrared light to cause the person 110 to sweat more. Because the more the person 110 sweats, the greater the likelihood that more sweat components from the sweat produced by the person 110 will become airborne, the controller 116 may extract or otherwise determine one or more parameters from the sweat data received from the VOC sensor unit 148 and adjust the spectral distribution and / or spatial distribution of light provided by the lighting devices 102, 104 based on the one or more parameters in the manner described above with respect to the parameters obtained from the sensor 112 attached to the person 110.

[0055] In some example embodiments, the controller 116 may execute a machine learning (ML) algorithm to determine the reliability of the sweat data received from the VOC sensor unit 148. The controller 116 may also execute the ML algorithm to determine the physiological and psychological state of the person 110 based on the sweat data received from the VOC sensor unit 148, and adjust the spectral distribution and / or spatial distribution of the light provided by the lighting devices 102, 104 in the manner described above.

[0056] In some example embodiments, the controller 134 of the lighting device 104 may operate in the manner described with respect to the controller 116 of the lighting device 102 to control the light provided by the lighting device 104. The controller 134 of the lighting device 104 may also operate in the manner described with respect to the controller 116 of the lighting device 102 to control the light provided by the lighting device 102. For example, the lighting device 104 may operate as a master lighting device, wherein the controller 134 controls the operation of other lighting devices (including the lighting device 102 in the lighting system 100) to control the light provided by the lighting system 100. To illustrate, the controller 134 of the lighting device 102 may control the light provided by the lighting device 104, as well as the light provided by the lighting device 102, based on one or more parameters extracted and / or determined from sensor data received from the sensor 112 and / or the integrated sensors 118, 136. For example, the controller 134 may transmit lighting control commands generated based on the one or more parameters to the lighting device 102 , and the controller 116 of the lighting device 102 may receive the lighting control commands and control the light provided by the light module 114 of the lighting device 102 accordingly.

[0057] In some example embodiments, the network device 106 may be a server that performs the functions described herein with respect to the controller 116 of the lighting device 102. For example, the network device 106 may include a controller 142 that receives and processes sensor data from the sensor 112 and / or from the integrated sensor 118. The controller 142 may transmit light control commands to the lighting devices 102, 104 to control the light provided by the lighting devices 102, 104 based on one or more parameters extracted or determined by the controller 142 from the sensor data.

[0058] By using sensor data including information about sweat produced by person 110, lighting system 100 can determine information about the physiological and / or psychological state of person 110. Based on the sensor data obtained from sensor 112, lighting system 100 can adjust the light provided by lighting system 100 (e.g., light provided by lighting device 102, lighting device 104, and / or another lighting device of lighting system 100) to help improve the physiological and psychological state of person 110.

[0059] In some alternative embodiments, the sensors 112 may be at different locations on the person 110 without departing from the scope of the present disclosure. For example, the sensors 112 may include sensors at different locations on the person 110. In some example embodiments, the integrated sensors 118, 136 may be omitted without departing from the scope of the present disclosure. In some example embodiments, the person 110 may be at a different location in the area 108 than shown without departing from the scope of the present disclosure. In some example embodiments, the lighting system 100 may include more or fewer lighting devices than shown without departing from the scope of the present disclosure.

[0060] Figure 3 A method 300 of lighting control based on sweat data from the sensor 112 is shown according to an example embodiment. Figure 1-Figure 3In some example embodiments, method 300 includes, at step 302, receiving sweat data from sensor 112 attached to person 110 in area 108. For example, controller 116 of lighting device 102, controller 134 of lighting device 104, and / or controller 142 of network device 106 may receive the sensor data. The sweat data may include information related to sweat produced by person 110. At step 304, method 300 may include processing the sweat data to determine one or more parameters related to one or more sweat constituents. For example, sweat constituents may include sodium, potassium, chloride, glucose, lactate, cortisol, fatty acids, protein, etc. Controller 116 of lighting device 102, controller 134 of lighting device 104, and / or controller 142 of network device 106 may process the sensor data to determine parameters related to the sweat constituents. For example, the one or more parameters may include the amount, concentration, and / or ratio of an analyte in the sweat produced by person 110, as indicated by the sweat data or otherwise determined.

[0061] In some example embodiments, at step 306, method 300 may include adjusting the spectral distribution 202 of the light based on one or more parameters. Light is provided by one or more lighting devices 102, 104 in area 108. Controller 116 of lighting device 102, controller 134 of lighting device 104, or controller 142 of network device 106 may adjust the spectral distribution 202 of the light based on the one or more parameters. For example, controller 116 of lighting device 102 may provide a lighting control command to light module 114 of lighting device 102, e.g., to begin emitting or change the intensity of light having a wavelength within a particular wavelength range (e.g., cyan light, infrared light, UV light). Light module 114 of lighting device 102 may adjust the light provided by lighting device 102 in response to the lighting control command from controller 116. The controller 116 of the lighting device 102 can provide lighting control commands to the light module 114 of the lighting device 102, for example, to start emitting or changing the intensity of light having a wavelength within a specific wavelength range (e.g., yellow light) so that the change in the CCT of the light provided by the lighting device 102 is limited to a specific range (e.g., 300K).

[0062] In some example embodiments, as described above, one or more sweat components of the sweat produced by person 110 may include glucose. In response to determining that the amount of glucose is below a glucose threshold, the spectral distribution 202 of the light provided by lighting device 102 may be adjusted by introducing cyan light or by increasing the intensity of the cyan light included in the light provided by lighting device 102. For example, the glucose threshold may be set to a desired value specific to person 110, or a desired value recommended for the general population, such as by a government or private health entity. The spectral distribution of the light provided by lighting device 104 may also be adjusted in the same manner as described with respect to spectral distribution 202 of the light provided by lighting device 102.

[0063] In some example embodiments, as described above, one or more sweat components of the sweat produced by person 110 may include lactate. In response to determining that the amount or concentration of lactate exceeds a lactate threshold, the spectral distribution 202 of the light provided by lighting device 102 may be adjusted by introducing infrared light into the light or by increasing the intensity of infrared light included in the light provided by lighting device 102. For example, the lactate threshold may be set to a desired value specific to person 110, or to a desired value recommended for the general population, such as by a government or private health entity. The spectral distribution of the light provided by lighting device 104 may also be adjusted in the same manner as described with respect to spectral distribution 202 of the light provided by lighting device 102.

[0064] In some example embodiments, as described above, one or more sweat components of the sweat produced by person 110 may include cortisol. In response to determining that the amount or concentration of cortisol is below a cortisol threshold, the spectral distribution 202 of the light provided by lighting device 102 may be adjusted by introducing cyan light or by increasing the intensity of the cyan light. For example, the cortisol threshold may be set to a desired value specific to person 110, or a desired value recommended for the general population, such as by a government or private health entity. The spectral distribution of the light provided by lighting device 104 may also be adjusted in the same manner as described with respect to spectral distribution 202 of the light provided by lighting device 102.

[0065] In some example embodiments, as described above, one or more sweat components of sweat include sodium, potassium, and chloride. In response to determining that person 110 is dehydrated based at least on the amount or concentration of one or more of sodium, potassium, and chloride, spectral distribution 202 of light provided by lighting device 102 may be adjusted. The spectral distribution of light provided by lighting device 104 may also be adjusted in the same manner as described with respect to spectral distribution 202 of light provided by lighting device 102.

[0066] In some example embodiments, spectral distribution 202 of light provided by lighting device 102 is further adjusted based on sensor data received from sensor 112 indicating temperature of person 110, heart rate of person 110, blood pressure of person 110, and / or respiratory rate of person 110. For example, controller 116 of lighting device 102 may use temperature and / or heart rate information, in addition to one or more parameters determined from sweat data (e.g., concentration of sodium in sweat, concentration of another analyte in sweat, and / or ratio of two analytes in sweat), to determine whether person 110 is dehydrated and adjust spectral distribution 202 of light provided by lighting device 102. The spectral distribution of light provided by lighting device 104 may also be adjusted in the same manner as described with respect to spectral distribution 202 of light provided by lighting device 102.

[0067] In some example embodiments, controller 116 of lighting device 102 may determine whether the sweat generated by person 110 is normal sweat or stress sweat based on one or more parameters determined from the sweat data. In response to determining that the sweat is stress sweat, controller 116 of lighting device 102 may adjust the light provided by lighting device 102 by controlling light module 114 of lighting device 102 to reduce the intensity of cyan light included in the light provided by light module 114. For example, controller 116 of lighting device 102 may adjust the light provided by lighting device 102 (e.g., adjust the spatial distribution, adjust the spectral distribution) to reduce the stress level of person 110. The spectral distribution of the light provided by lighting device 104 may also be adjusted in the same manner as described with respect to spectral distribution 202 of the light provided by lighting device 102.

[0068] In some example embodiments, controller 116 of lighting device 102 may transmit a lighting control command to lighting device 104 to adjust the light provided by lighting device 104. Controller 116 may generate the lighting control command based on one or more parameters determined from sweat data received from sensor 112. Lighting device 104 may adjust the light provided by lighting device 104 in response to the lighting control command from lighting device 102. Alternatively, controller 142 of network device 106 may transmit a light control command to one or more of the lighting devices of lighting system 100 (including lighting devices 102, 104) to adjust the light provided by lighting system 100 in the same manner as described with respect to controller 116 of lighting device 102. Typically, an adjustment of the light provided by one or more of lighting devices 102, 104 results in a corresponding adjustment of the light provided by lighting system 100.

[0069] In some example embodiments, at step 308, method 300 may include adjusting the spatial distribution of light emitted by lighting device 102 based on one or more parameters. For example, controller 116 of lighting device 102 may control the spatial distribution of light provided by lighting device 102 and light provided by lighting device 104 based on one or more parameters extracted and / or determined from sensor data received from sensor 112. To illustrate, controller 116 may adjust the spatial distribution of light provided by lighting device 102 instead of or in addition to changing the spectral distribution of light. For example, in response to determining that person 110 is dehydrated as described above, controller 116 may control light module 114 to change the spatial distribution of light provided by lighting device 102 from first spatial distribution 138 to Figure 1 The controller 116 may control the transmission of a lighting control command to the lighting device 104 to change the spatial distribution of light provided by the lighting device 104 .

[0070] In some alternative embodiments, method 300 may include more or fewer steps than shown without departing from the scope of the present disclosure. For example, one of the steps of method 300 may be omitted without departing from the scope of the present disclosure. In some alternative embodiments, the steps of method 300 may be performed in a different order than shown without departing from the scope of the present disclosure. For example, step 308 may be performed before step 306.

[0071] Figure 4 A method of lighting control based on sweat data from a light fixture integrated sensor according to another example embodiment is shown. Figure 1 、 Figure 2 and Figure 4 In some example embodiments, method 400 includes, at step 402, receiving location data from location sensor unit 144 of lighting device 102 in area 108. For example, controller 116 of lighting device 102 may receive the location data. A thermopile sensor, a passive infrared sensor, and / or another sensor may be used as location sensor unit 144 to detect whether area 108 is occupied and determine the location of person 110 in area 108.

[0072] In some example embodiments, at step 404, method 400 includes receiving activity data from activity sensor unit 146 of lighting device 102. For example, controller 116 of lighting device 102 may receive the activity data. A microphone, a thermopile sensor, a humidity sensor, a temperature sensor, and / or another sensor may operate individually or in combination as activity sensor unit 146 to determine the activity of person 110. For example, the activity data from activity sensor unit 146 may be used to determine whether person 110 has just completed a workout based on person 110's breathing rate, sounds emitted by person 110, and the like. As another example, the activity data from activity sensor unit 146 may be used to determine whether person 110 has just showered based on the humidity in the air and / or sounds associated with showering. As another example, the activity data from activity sensor unit 146 may be used to determine whether person 110 has applied deodorant based on sounds associated with the spraying of deodorant.

[0073] In some example embodiments, at step 406, method 400 includes receiving sweat data from VOC sensor unit 148 of the lighting device. VOC sensor unit 148 can detect one or more sweat components in the air and transmit sweat data related to the sweat components. For example, the sweat data from VOC sensor unit 148 can indicate or be used to determine the amount or concentration of cortisol and / or other sweat components in the sweat produced by person 110. At step 408, method 400 can include determining one or more parameters related to the one or more sweat components from the sweat data. For example, controller 116 can determine the amount, concentration, ratio, etc. of an analyte in the sweat produced by person 110 from the sweat data.

[0074] In some example embodiments, at step 410, method 400 includes adjusting spectral distribution 202 of light provided by lighting device 102 based on one or more parameters and one or more of the location data and the activity data. For illustration, before adjusting the light provided by lighting device 102 based on sweat data from VOC sensor unit 148, microprocessor 126 of controller 116 may determine whether the sweat data is reliable based on location data from location sensor unit 144 and / or activity data from activity sensor unit 146. For example, before processing and / or using the sweat data from VOC sensor unit 148, microprocessor 126 may determine whether area 108 is occupied based on information from location sensor unit 144. After determining that area 108 is occupied, controller 116 may adjust the light provided by lighting device 102 based on one or more parameters determined from the sweat data. For illustration, if area 108 is occupied, there is a higher likelihood that the one or more compounds detected by VOC sensor unit 148 are from sweat produced by an occupant (e.g., person 110).

[0075] As another example, before processing and / or using the sweat data from the VOC sensor unit 148, the microprocessor 126 may determine, based on the position data from the position sensor unit 144, whether the person is close enough to the lighting device 102 (e.g., within 1 foot of the lighting device 102 horizontally) to enable the VOC sensor unit 148 to reliably sense one or more sweat compounds in the air from the sweat produced by the person 110. After determining that the person 110 is within a threshold distance (e.g., 1 foot, 2 feet) of the lighting device 102, the controller 116 may adjust the light provided by the lighting device 102 based on one or more parameters determined from the sweat data.

[0076] As another example, before processing and / or using sweat data from VOC sensor unit 148, microprocessor 126 may determine whether person 110 has just completed exercise based on information from activity sensor unit 146 (e.g., from a thermopile sensor). To illustrate, if person 110 has just completed exercise (e.g., as determined based on heart rate and / or breathing rate), there is a higher likelihood that the one or more compounds detected by VOC sensor unit 148 are from sweat produced by person 110. After determining that person 110 has just completed exercise, controller 116 may adjust the light provided by lighting device 102 based on one or more parameters determined from the sweat data.

[0077] As yet another example, before processing and / or using sweat data from VOC sensor unit 148, microprocessor 126 may determine, based on information from activity sensor unit 146 (e.g., from a moisture sensor and microphone), whether person 110 has just finished a shower and is not using deodorant (which may affect the reliability of sensing by VOC sensor unit 148). To illustrate, if person 110 has just finished a shower and has not yet used deodorant, the likelihood that one or more sweat components detected by VOC sensor unit 148 are from sweat produced by person 110 rather than from deodorant is relatively high. Controller 116 may adjust the light provided by lighting device 102 based on one or more parameters determined from the sweat data after determining that person 110 has just finished exercising and is not using spray deodorant, which may result in unreliable detection by VOC sensor unit 148.

[0078] In some example embodiments, controller 116 of lighting device 102 may transmit light control commands to lighting device 104 in the manner described above to control the light provided by lighting device 104 based on one or more parameters determined from the sweat data and based on the location and / or activity data. In some example embodiments, controller 116 of lighting device 102 may control the spatial distribution of light provided by lighting system 100 (i.e., light provided by lighting device 102, light provided by lighting device 104, and / or light provided by another lighting device of lighting system 100) based on one or more parameters determined from the sweat data and based on the location and / or activity data.

[0079] In some alternative embodiments, the method 400 may include more or fewer steps than shown without departing from the scope of the present disclosure. In some alternative embodiments, the steps of the method 400 may be performed in a different order than shown without departing from the scope of the present disclosure.

[0080] Although specific embodiments have been described in detail herein, these descriptions are by way of example. The features of the example embodiments described herein are representative, and in alternative embodiments, certain features, elements, and / or steps may be added or omitted. In addition, various aspects of the example embodiments described herein may be modified by those skilled in the art without departing from the scope of the appended claims, the scope of which should be interpreted in the broadest possible manner to encompass modifications and equivalent structures.

Claims

1. A lighting control method (300), comprising: receiving, by a controller (116, 142), sweat data from a sensor (112) proximate a person (110) in an area (108), wherein the sensor is configured to sense sweat generated by the person; processing, by the controller, the sweat data to determine one or more parameters associated with one or more sweat components of the sweat; as well as The controller adjusts a spectral distribution (202) of illumination light based at least on the one or more parameters, wherein the illumination light is provided by one or more illumination devices (102, 104) in the area, wherein the one or more sweat components of the sweat include one or more of glucose, lactate, cortisol, sodium, potassium, and chloride, wherein the one or more parameters include one or more amounts or one or more concentrations of the one or more sweat components of the sweat, and wherein the spectral distribution (202) of the illumination light is adjusted based on the one or more amounts or one or more concentrations of the one or more sweat components of the sweat.

2. The lighting control method according to claim 1, further comprising adjusting the spatial distribution of the illumination light based on one or more parameters (138, 140).

3. The lighting control method according to claim 1, wherein the correlated color temperature (CCT) of the lighting light is maintained within a CCT range such that a change in the CCT of the lighting light caused by adjusting the spectral distribution of the lighting light is not noticeable to a person (110).

4. The lighting control method according to claim 1, wherein the sweat is sensed by the sensor (112) continuously or at fixed intervals, and wherein the spectral distribution (202) is adjusted continuously or at fixed intervals.

5. The lighting control method according to claim 1 , wherein the lighting light is white light having a correlated color temperature in the range from 1800K to 6500K and a color rendering index of at least 70, and wherein the spectral distribution of the lighting light is adjusted by introducing one or more light from violet light, cyan light, red light, blue light, yellow light, near infrared light, infrared light, and ultraviolet light into the lighting light; by adjusting one or more intensities of one or more of the violet light, cyan light, red light, blue light, yellow light, near infrared light, infrared light, and ultraviolet light included in the lighting light; or both.

6. The lighting control method of claim 1 , wherein the one or more sweat components of the sweat include glucose, and wherein in response to determining that the amount of glucose is below a glucose threshold, the spectral distribution of the illumination light is adjusted by introducing cyan light or by increasing the intensity of cyan light included in the illumination light ( 202 ).

7. The lighting control method according to claim 1, wherein the one or more sweat components of the sweat include lactate, and wherein in response to determining that the amount or concentration of lactate exceeds a lactate threshold, the spectral distribution of the illumination light is adjusted by introducing infrared light or near-infrared light into the illumination light or by increasing the intensity of the infrared light or near-infrared light included in the illumination light (202).

8. The lighting control method of claim 1 , wherein the one or more sweat components of the sweat include cortisol, wherein in response to determining that the amount or concentration of cortisol is below a cortisol threshold, the spectral distribution of the illumination light is adjusted by introducing cyan light or by increasing the intensity of the cyan light ( 202 ), and wherein in response to determining that the amount or concentration of cortisol is above a high cortisol threshold associated with sleep apnea, the spectral distribution of the illumination light is adjusted by turning off or reducing the intensity of the cyan light ( 202 ).

9. The lighting control method of claim 1 , wherein the one or more sweat components of the sweat include sodium, potassium, and chloride, and wherein the spectral distribution ( 202 ) of the illumination light is adjusted in response to determining whether the person ( 110 ) is dehydrated or well hydrated based on at least the amount or concentration of one or more of the sodium, potassium, and chloride.

10. The lighting control method of claim 1 , wherein the spectral distribution (202) of the illumination light is adjusted further based on sensor data received from a sensor (112), and wherein the sensor data indicates at least one or more of a temperature of the person (110), a heart rate of the person, a heart rate variability of the person, blood pressure, and a breathing rate of the person.

11. The lighting control method according to claim 1, wherein in response to determining that the sweat is stress sweat based on one or more parameters, the spectral distribution of the illumination light is adjusted by reducing the intensity of cyan light included in the illumination light (202).

12. A lighting control system (100) comprising a controller (116, 142), the controller (116, 142) being configured to: receiving sweat data from a sensor (112) proximate to a person (110) in an area (108), wherein the sensor is configured to sense sweat generated by the person; processing the sweat data to determine one or more parameters associated with one or more sweat components of the sweat; and The spectral distribution (202) of illumination light is adjusted based at least on the one or more parameters, wherein the illumination light is provided by one or more illumination devices (102, 104) in the area, wherein the one or more sweat components of the sweat include one or more of glucose, lactate, cortisol, sodium, potassium, and chloride, wherein the one or more parameters include one or more amounts or one or more concentrations of the one or more sweat components of the sweat, and wherein the spectral distribution (202) of the illumination light is adjusted based on the one or more amounts or one or more concentrations of the one or more sweat components of the sweat.

13. The lighting control system of claim 12, wherein the controller is further configured to adjust the spatial distribution (138, 140) of the illumination light based on the one or more parameters.

14. The lighting control system according to claim 12, wherein the correlated color temperature (CCT) of the lighting light is maintained within a CCT range such that a change in the CCT of the lighting light caused by adjusting the spectral distribution of the lighting light is not noticeable to a person (110).

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