CN116367390B - Dynamic illumination state adjusting method and device and intelligent electric lamp - Google Patents
Dynamic illumination state adjusting method and device and intelligent electric lamp Download PDFInfo
- Publication number
- CN116367390B CN116367390B CN202310631072.5A CN202310631072A CN116367390B CN 116367390 B CN116367390 B CN 116367390B CN 202310631072 A CN202310631072 A CN 202310631072A CN 116367390 B CN116367390 B CN 116367390B
- Authority
- CN
- China
- Prior art keywords
- mood
- preset
- illumination
- parameters
- matching
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Landscapes
- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The application provides a dynamic illumination state adjusting method, a dynamic illumination state adjusting device and an intelligent electric lamp. According to the dynamic illumination state adjusting method, the spirit and the appearance of the person can be analyzed preliminarily through the facial feature data, the illumination parameters are modified according to the mood state of the person on the basis of the current illumination parameters, then the illumination parameters are matched with the working gear of the illumination system, so that the dynamic illumination state adjusting method can adapt to the main key of illumination in different environments, meanwhile, the abrupt sense of illumination mode switching can be relieved, and the user experience is improved.
Description
Technical Field
The application belongs to the technical field of intelligent Internet of things, and particularly relates to a dynamic illumination state adjusting method and device and an intelligent electric lamp.
Background
With the development of electricity, the use of electric lamp illumination has emerged, and the development of electric lamp illumination technology has been mature for decades, so people can select various illumination modes. In many types of electric lamps, it is common to provide at most a few illumination intensities for selection, and more functions include various operation modes, such as a cool light mode, a warm light mode, an eye-protecting mode, and the like. However, an intelligent electric lamp capable of automatically adjusting the illumination state in combination with the mood state of the human body is still scarce.
Therefore, a method or device for automatically reading the mood state of the user and adjusting the illumination mode of the electric lamp is urgently needed, and intelligent application of the electric lamp illumination system is expanded.
Disclosure of Invention
In view of the above, the application provides a dynamic adjustment method and device for illumination states and an intelligent electric lamp, which can change various illumination states in real time according to the mood state of a user and has the characteristics of soft and comfortable mode switching.
The specific technical scheme of the application is as follows:
the first aspect of the present application provides a method for dynamically adjusting an illumination state, comprising the steps of:
acquiring facial feature data of a person, and matching mood setting values according to the facial feature data;
acquiring a current lighting parameter, and generating a preset lighting parameter according to the current lighting parameter and the mood standard value;
and matching the working gear of the lighting system according to the preset lighting parameters and controlling gear switching.
Further, the facial feature data includes eye feature data, and matching mood setting values according to the facial feature data specifically includes:
analyzing eyelid curvature according to the eye feature data, and matching mood setting values according to the initial eyelid curvature and the change condition of the real-time eyelid curvature;
and if the real-time eyelid curvature is greater than the initial eyelid curvature, the matching mood index value is positive, if the real-time eyelid curvature is less than the initial eyelid curvature, the matching mood index value is negative, and if the real-time eyelid curvature is equal to the initial eyelid curvature, the matching mood index value is zero.
Further, the facial feature data includes contour feature data, and matching mood setting values according to the facial feature data specifically includes:
analyzing the body shaking degree according to the outline characteristic data, and matching mood setting values according to the body shaking degree and the change condition of a body shaking degree threshold;
if the body shaking degree is greater than the body shaking degree threshold, the matching mood standard set value is positive, if the body shaking degree is less than the body shaking degree threshold, the matching mood standard set value is negative, and if the body shaking degree is equal to the body shaking degree threshold, the matching mood standard set value is zero.
Further, after matching the mood setting value according to the facial feature data, before generating the preset lighting parameter according to the mood setting value, the method further comprises:
if the matching mood preset value is zero, heart rate characteristic data of the person are obtained, and the mood preset value is matched according to the comparison condition of the heart rate characteristic data and a heart rate threshold range;
if the heart rate characteristic data fall within a first heart rate threshold range, matching mood flag setting values to be zero, and if the heart rate characteristic data fall within a second heart rate threshold range, acquiring sound characteristic data of a person, and matching mood flag setting values according to comparison conditions of the sound characteristic data and the sound threshold range;
and if the voice characteristic data fall in the voice threshold range, the matching mood setting value is zero, if the voice characteristic data are higher than the voice threshold range, the matching mood setting value is positive, and if the voice characteristic data are lower than the voice threshold range, the matching mood setting value is negative.
Further, the generating the preset lighting parameter according to the current lighting parameter and the mood flag value specifically includes:
if the mood preset value is positive, introducing an up-regulating additional parameter on the basis of the current lighting parameter to generate the preset lighting parameter, and if the mood preset value is negative, introducing a down-regulating additional parameter on the basis of the current lighting parameter to generate the preset lighting parameter.
Further, the current lighting parameters include a light intensity parameter and a light color parameter, and the generating the preset lighting parameters according to the current lighting parameters and the mood standard value specifically includes:
performing superposition operation on the light intensity parameters according to a light intensity preset added value, and if the light intensity parameters after superposition operation are within a preset light intensity range, the preset illumination parameters comprise the light intensity parameters after superposition operation and the light color parameters;
if the light intensity parameter after the superposition is out of the preset light intensity range, carrying out superposition on the light color parameter according to the preset added value of the light color, and matching the balanced light intensity parameter under the light color parameter after the superposition, wherein the preset illumination parameter comprises the balanced light intensity parameter and the light color parameter after the superposition.
Further, the working gear of the lighting system matched according to the preset lighting parameters is specifically:
acquiring light intensity information and light color information of different light sources in an illumination system;
switching on a light source circuit of which the light color information in the lighting system is matched with the light color parameter in the preset lighting parameters;
and adjusting the output power limit value of the light source circuit according to the light intensity parameter in the preset illumination parameters.
Further, before acquiring the facial feature data of the person, the method further includes:
monitoring character data in a use environment in real time, and judging whether an illumination system needs to be started or not according to the character data;
if the lighting system needs to be started, acquiring illumination data in the use environment, and setting initial lighting parameters according to the illumination data.
A second aspect of the present application provides an illumination state dynamic adjustment device, including:
the analysis module is used for acquiring facial feature data of the person and matching mood setting values according to the facial feature data;
the judging module is used for acquiring current illumination parameters and generating preset illumination parameters according to the current illumination parameters and the mood standard setting values;
and the execution module is used for matching the working gear of the lighting system according to the preset lighting parameters and controlling gear switching.
A third aspect of the application provides a smart lamp applying steps in the method of dynamic adjustment of a lighting state or comprising modules in the device of dynamic adjustment of a lighting state.
In summary, the application provides a method, a device and an intelligent electric lamp for dynamically adjusting an illumination state, which are used for matching mood preset values according to facial feature data, generating preset illumination parameters according to current illumination parameters and mood preset values, and matching working gears of an illumination system and controlling gear switching according to the preset illumination parameters. According to the dynamic illumination state adjusting method, the spirit and the appearance of the person can be analyzed preliminarily through the facial feature data, the illumination parameters are modified according to the mood state of the person on the basis of the current illumination parameters, then the illumination parameters are matched with the working gear of the illumination system, so that the dynamic illumination state adjusting method can adapt to the main key of illumination in different environments, meanwhile, the abrupt sense of illumination mode switching can be relieved, and the user experience is improved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a flow chart of a method for dynamically adjusting illumination status according to the present application;
FIG. 2 is a block diagram of the dynamic illumination state adjusting device of the present application.
Detailed Description
In order to make the objects, features and advantages of the present application more obvious and understandable, the technical solutions of the embodiments of the present application are clearly and completely described, and it is apparent that the embodiments described below are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, fig. 1 is a flowchart of a dynamic adjustment method for illumination status according to the present application.
The embodiment of the application provides a dynamic adjustment method for an illumination state, which comprises the following steps:
s1: acquiring facial feature data of a person, and matching mood setting values according to the facial feature data;
s2: acquiring a current lighting parameter, and generating a preset lighting parameter according to the current lighting parameter and the mood standard value;
s3: and matching the working gear of the lighting system according to the preset lighting parameters and controlling gear switching.
The facial features may be facial features, contour features, etc., and may be obtained by conventional image data processing techniques. The mental aspects of the person can be primarily analyzed by the facial feature data, thereby analyzing the mood state rising, falling or peaceful. The illumination parameters may be illumination intensity, illumination chromaticity, etc., and the current illumination parameters may be determined based on the current ambient lighting conditions. The illumination parameters are modified according to the mood state of the person on the basis of the current illumination parameters, the illumination parameters are matched with the working gear of the illumination system, so that the illumination system can adapt to the main key of different environment illumination, meanwhile, the abrupt sense of illumination mode switching can be relieved, and the user experience is improved.
According to an embodiment of the present application, the facial feature data includes eye feature data, and the matching mood setting value according to the facial feature data is specifically:
analyzing eyelid curvature according to the eye feature data, and matching mood setting values according to the initial eyelid curvature and the change condition of the real-time eyelid curvature;
and if the real-time eyelid curvature is greater than the initial eyelid curvature, the matching mood index value is positive, if the real-time eyelid curvature is less than the initial eyelid curvature, the matching mood index value is negative, and if the real-time eyelid curvature is equal to the initial eyelid curvature, the matching mood index value is zero.
It should be noted that the intelligent electric lamp may be provided with an AI algorithm and embedded with a local shape recognition module. The intelligent electric lamp can start the camera, intercept one frame of video picture and utilize the conventional local shape recognition technology to discern eye characteristic data under the natural state of personage, such as the straight line distance of upper eyelid and lower eyelid at pupil position, etc., namely the initial eyelid curvature. The eyelid curvature may be increased if the current emotion of the person is rising and gathering, and may be decreased if the current emotion of the person is falling or getting low. The mood standard set value can only distinguish positive and negative, if the mood standard set value is 1, -1 and 0, the corresponding value can be further analyzed according to the deviation degree of the real-time eyelid curvature degree and the initial eyelid curvature degree.
According to an embodiment of the present application, the facial feature data includes contour feature data, and matching mood setting values according to the facial feature data specifically includes:
analyzing the body shaking degree according to the outline characteristic data, and matching mood setting values according to the body shaking degree and the change condition of a body shaking degree threshold;
if the body shaking degree is greater than the body shaking degree threshold, the matching mood standard set value is positive, if the body shaking degree is less than the body shaking degree threshold, the matching mood standard set value is negative, and if the body shaking degree is equal to the body shaking degree threshold, the matching mood standard set value is zero.
It should be noted that, the facial outline of the person is identified by using a conventional image data processing technology, if the person is in a state of emotional elevation, the person is represented as a limb action and a phenomenon of thinking actively, and the facial outline is driven to shake frequently, otherwise, the facial outline is still. And determining a mood setting value of the person according to the comparison of the body shaking degree and the body shaking degree threshold, wherein the body shaking degree can be parameters such as the pixel area where the facial contour moves, and the like, and the body shaking degree threshold can be determined according to the pixel area where the facial contour moves in the natural state of the human body. The mood standard set value can be just positive and negative, and the corresponding value can be further analyzed according to the deviation degree of the body shaking degree and the body shaking degree threshold value.
According to an embodiment of the present application, after matching the mood setting value according to the facial feature data, before generating the preset lighting parameter according to the mood setting value, the method further includes:
if the matching mood preset value is zero, heart rate characteristic data of the person are obtained, and the mood preset value is matched according to the comparison condition of the heart rate characteristic data and a heart rate threshold range;
if the heart rate characteristic data fall within a first heart rate threshold range, matching mood flag setting values to be zero, and if the heart rate characteristic data fall within a second heart rate threshold range, acquiring sound characteristic data of a person, and matching mood flag setting values according to comparison conditions of the sound characteristic data and the sound threshold range;
and if the voice characteristic data fall in the voice threshold range, the matching mood setting value is zero, if the voice characteristic data are higher than the voice threshold range, the matching mood setting value is positive, and if the voice characteristic data are lower than the voice threshold range, the matching mood setting value is negative.
If the mood state is analyzed to be a peace state by the image data, the heart rate characteristic data may be used to participate in the analysis process in order to further accurately analyze the mind of the person. The intelligent electric lamp can acquire the heart rate of the person from the device such as the user bracelet, count the heart rate of the current user in three minutes and average the heart rate. If the heart rate value falls within a first heart rate threshold range, such as between 60 and 80, the current mood level of the user is determined. If the heart rate value falls within the second heart rate threshold range, such as 80 to 100, the current emotion fluctuation of the user is judged to be large, and the intelligent electric lamp can start the voice inquiry module to actively inquire the emotion state of the user today. The intelligent electric lamp judges the current decibel value by starting the noise sensor, and if the sound characteristic data is in the sound threshold range, such as 35 to 55 decibels, the user mood is judged to be mild. If the current user mood is lower than 35 dB, judging that the current user mood is low, and if the current user mood is higher than 55 dB, judging that the current user mood is high.
According to the embodiment of the application, the generation of the preset lighting parameters according to the current lighting parameters and the mood standard value is specifically as follows:
if the mood preset value is positive, introducing an up-regulating additional parameter on the basis of the current lighting parameter to generate the preset lighting parameter, and if the mood preset value is negative, introducing a down-regulating additional parameter on the basis of the current lighting parameter to generate the preset lighting parameter.
It should be noted that, if the current user emotion increases, the intelligent electric lamp will start the preset electric lamp illumination state module, the environmental liveness and contrast are enhanced by enhancing the illumination intensity or chromaticity, and if the current user emotion decreases, the intelligent electric lamp will weaken the environmental liveness and contrast by reducing the illumination intensity or chromaticity. The intelligent electric lamp can restart the intelligent camera at intervals of 30 minutes, and the execution module is operated to re-identify the current mood state of the user and dynamically adjust the lighting state. If the new mood state of the user is unchanged from the previous state, the illumination state is unchanged, and if the new mood state is changed, the illumination state of the electric lamp is correspondingly adjusted according to the mood state, so that the purpose of dynamically changing the illumination state in real time according to the mood state of the user to adapt to the psychological activity state of the person is achieved.
According to an embodiment of the present application, the current lighting parameters include a light intensity parameter and a light color parameter, and the generating the preset lighting parameters according to the current lighting parameters and the mood flag value specifically includes:
performing superposition operation on the light intensity parameters according to a light intensity preset added value, and if the light intensity parameters after superposition operation are within a preset light intensity range, the preset illumination parameters comprise the light intensity parameters after superposition operation and the light color parameters;
if the light intensity parameter after the superposition is out of the preset light intensity range, carrying out superposition on the light color parameter according to the preset added value of the light color, and matching the balanced light intensity parameter under the light color parameter after the superposition, wherein the preset illumination parameter comprises the balanced light intensity parameter and the light color parameter after the superposition.
It should be noted that, the current lighting parameter may be a light state set by the user frequently or an initial light state generated by judging the environmental data. If the mood state of the person rises, the current light intensity parameter and the light color parameter need to be properly enhanced, otherwise, the current light intensity parameter and the light color parameter need to be properly weakened, and the soft illumination mode conversion process can be ensured. The light intensity parameter refers to the intensity of illumination, the unit is candela, and the light color parameter refers to the coefficient of light color after being classified according to contrast, for example, 1 is warm yellow light, 2 is mixed light, and 3 is cool white light. The preset additional value of the light intensity, the preset light intensity range and the balance light intensity parameter can be determined by the light intensity information of the light source and the light intensity adjusting sensitivity of the conventional lighting system. The preset lighting parameter generation process is as follows: in the first case, assuming that the current light intensity parameter is 200 candelas, the light color parameter is 2, the mood standard value is 1, the superposition operation result of the light intensity parameter according to the preset light intensity added value (assumed to be 200) is 400, and assuming that the preset light intensity range is set to 100-700, the operation result of the preset illumination parameter is 400, and the light color parameter is 2. In the second case, assuming that the current light intensity parameter is 800 candela, the light color parameter is 2, the mood standard value is 1, the superposition operation result of the light intensity parameter according to the preset light intensity added value (assumed to be 200) is 1000, and assuming that the preset light intensity range is set to 100-700, the operation result of the preset illumination parameter is light intensity parameter 200 and light color parameter 3. In the third case, assuming that the current light intensity parameter is 800 candela, the light color parameter is 2, the mood standard value is-1, the superposition operation result of the light intensity parameter is 600 according to the preset added value (assumed to be-200) of the light intensity, and assuming that the preset light intensity range is set to 100-700, the operation result of the preset illumination parameter is the light intensity parameter 600 and the light color parameter is 2.
According to the embodiment of the application, the working gear of the lighting system matched according to the preset lighting parameters is specifically as follows:
acquiring light intensity information and light color information of different light sources in an illumination system;
switching on a light source circuit of which the light color information in the lighting system is matched with the light color parameter in the preset lighting parameters;
and adjusting the output power limit value of the light source circuit according to the light intensity parameter in the preset illumination parameters.
It should be noted that, the light intensity information and the light color information of different light sources in the lighting system may be derived from configuration parameters of the light sources, that is, the light color types and the light intensity ranges of the respective light sources are defined according to the configuration parameters of the different light sources. And (3) if the preset illumination parameter is a light intensity parameter 600 and the light color parameter 2, switching on a light source circuit with light color being mixed light, and if the preset light intensity range of the current light source is set to be 100-700, limiting the output power limit value of the current light source circuit to be 6/7 of the maximum output power.
According to an embodiment of the present application, before acquiring the facial feature data of the person, the method further includes:
monitoring character data in a use environment in real time, and judging whether an illumination system needs to be started or not according to the character data;
if the lighting system needs to be started, acquiring illumination data in the use environment, and setting initial lighting parameters according to the illumination data.
It should be noted that the intelligent electric lamp can be connected to an environment monitoring device, such as an infrared sensor, to monitor whether a person exists in the use environment, and recognize that no person exists, the intelligent electric lamp does not start the area lighting system, i.e. the electric lamp is kept in a closed state. If the lighting system needs to be started, the light intensity in the use environment can be monitored by accessing an environment photosensitive sensor, and the initial light intensity parameter of the lighting system is set according to the current environment light intensity.
Referring to fig. 2, fig. 2 is a block diagram of the dynamic illumination state adjusting device according to the present application.
The embodiment of the application also provides a dynamic illumination state adjusting device, which comprises:
the analysis module 1 is used for acquiring facial feature data of the person and matching mood setting values according to the facial feature data;
the judging module 2 is used for acquiring current illumination parameters and generating preset illumination parameters according to the current illumination parameters and the mood standard setting values;
and the execution module 3 is used for matching the working gear of the lighting system according to the preset lighting parameters and controlling gear switching.
According to an embodiment of the present application, the facial feature data includes eye feature data, and the analysis module is specifically configured to:
analyzing eyelid curvature according to the eye feature data, and matching mood setting values according to the initial eyelid curvature and the change condition of the real-time eyelid curvature;
and if the real-time eyelid curvature is greater than the initial eyelid curvature, the matching mood index value is positive, if the real-time eyelid curvature is less than the initial eyelid curvature, the matching mood index value is negative, and if the real-time eyelid curvature is equal to the initial eyelid curvature, the matching mood index value is zero.
According to an embodiment of the present application, the facial feature data includes contour feature data, and the analysis module is specifically configured to:
analyzing the body shaking degree according to the outline characteristic data, and matching mood setting values according to the body shaking degree and the change condition of a body shaking degree threshold;
if the body shaking degree is greater than the body shaking degree threshold, the matching mood standard set value is positive, if the body shaking degree is less than the body shaking degree threshold, the matching mood standard set value is negative, and if the body shaking degree is equal to the body shaking degree threshold, the matching mood standard set value is zero.
According to an embodiment of the application, the analysis module is further configured to:
if the matching mood preset value is zero, heart rate characteristic data of the person are obtained, and the mood preset value is matched according to the comparison condition of the heart rate characteristic data and a heart rate threshold range;
if the heart rate characteristic data fall within a first heart rate threshold range, matching mood flag setting values to be zero, and if the heart rate characteristic data fall within a second heart rate threshold range, acquiring sound characteristic data of a person, and matching mood flag setting values according to comparison conditions of the sound characteristic data and the sound threshold range;
and if the voice characteristic data fall in the voice threshold range, the matching mood setting value is zero, if the voice characteristic data are higher than the voice threshold range, the matching mood setting value is positive, and if the voice characteristic data are lower than the voice threshold range, the matching mood setting value is negative.
According to an embodiment of the present application, the judging module is specifically configured to:
if the mood preset value is positive, introducing an up-regulating additional parameter on the basis of the current lighting parameter to generate the preset lighting parameter, and if the mood preset value is negative, introducing a down-regulating additional parameter on the basis of the current lighting parameter to generate the preset lighting parameter.
According to an embodiment of the present application, the current illumination parameters include a light intensity parameter and a light color parameter, and the determining module is specifically configured to:
performing superposition operation on the light intensity parameters according to a light intensity preset added value, and if the light intensity parameters after superposition operation are within a preset light intensity range, the preset illumination parameters comprise the light intensity parameters after superposition operation and the light color parameters;
if the light intensity parameter after the superposition is out of the preset light intensity range, carrying out superposition on the light color parameter according to the preset added value of the light color, and matching the balanced light intensity parameter under the light color parameter after the superposition, wherein the preset illumination parameter comprises the balanced light intensity parameter and the light color parameter after the superposition.
According to an embodiment of the present application, the execution module is specifically configured to:
acquiring light intensity information and light color information of different light sources in an illumination system;
switching on a light source circuit of which the light color information in the lighting system is matched with the light color parameter in the preset lighting parameters;
and adjusting the output power limit value of the light source circuit according to the light intensity parameter in the preset illumination parameters.
According to the embodiment of the application, the device further comprises a starting module, wherein the driving module is specifically used for:
monitoring character data in a use environment in real time, and judging whether an illumination system needs to be started or not according to the character data;
if the lighting system needs to be started, acquiring illumination data in the use environment, and setting initial lighting parameters according to the illumination data.
The embodiment of the application also provides an intelligent electric lamp, which applies the steps in the dynamic illumination state adjusting method or comprises the modules in the dynamic illumination state adjusting device.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (7)
1. A method for dynamically adjusting an illumination state, comprising the steps of:
acquiring facial feature data of a person, wherein the facial feature data comprises eye feature data, and matching mood setting values according to the facial feature data comprises the following specific steps:
analyzing eyelid curvature according to the eye feature data, and matching mood setting values according to the initial eyelid curvature and the change condition of the real-time eyelid curvature;
if the real-time eyelid curvature is larger than the initial eyelid curvature, the matching mood index value is positive, if the real-time eyelid curvature is smaller than the initial eyelid curvature, the matching mood index value is negative, and if the real-time eyelid curvature is equal to the initial eyelid curvature, the matching mood index value is zero;
if the matching mood preset value is zero, heart rate characteristic data of the person are obtained, and the mood preset value is matched according to the comparison condition of the heart rate characteristic data and a heart rate threshold range;
if the heart rate characteristic data fall within a first heart rate threshold range, matching mood flag setting values to be zero, and if the heart rate characteristic data fall within a second heart rate threshold range, acquiring sound characteristic data of a person, and matching mood flag setting values according to comparison conditions of the sound characteristic data and the sound threshold range;
if the voice characteristic data fall in the voice threshold range, the matching mood setting value is zero, if the voice characteristic data are higher than the voice threshold range, the matching mood setting value is positive, and if the voice characteristic data are lower than the voice threshold range, the matching mood setting value is negative;
the method comprises the steps of obtaining current illumination parameters, wherein the current illumination parameters comprise light intensity parameters and light color parameters, and generating preset illumination parameters according to the current illumination parameters and mood standard values, wherein the preset illumination parameters specifically comprise:
performing superposition operation on the light intensity parameters according to a light intensity preset added value, and if the light intensity parameters after superposition operation are within a preset light intensity range, the preset illumination parameters comprise the light intensity parameters after superposition operation and the light color parameters;
if the light intensity parameter after the superposition is outside the preset light intensity range, carrying out superposition on the light color parameter according to the preset added value of the light color, and matching the balanced light intensity parameter under the light color parameter after the superposition, wherein the preset illumination parameter comprises the balanced light intensity parameter and the light color parameter after the superposition;
and matching the working gear of the lighting system according to the preset lighting parameters and controlling gear switching.
2. The method for dynamically adjusting a lighting state according to claim 1, wherein the facial feature data includes contour feature data, and the matching mood setting values according to the facial feature data is specifically:
analyzing the body shaking degree according to the outline characteristic data, and matching mood setting values according to the body shaking degree and the change condition of a body shaking degree threshold;
if the body shaking degree is greater than the body shaking degree threshold, the matching mood standard set value is positive, if the body shaking degree is less than the body shaking degree threshold, the matching mood standard set value is negative, and if the body shaking degree is equal to the body shaking degree threshold, the matching mood standard set value is zero.
3. The method of claim 1, wherein generating the preset lighting parameters according to the current lighting parameters and the mood flag values is specifically as follows:
if the mood preset value is positive, introducing an up-regulating additional parameter on the basis of the current lighting parameter to generate the preset lighting parameter, and if the mood preset value is negative, introducing a down-regulating additional parameter on the basis of the current lighting parameter to generate the preset lighting parameter.
4. The method for dynamically adjusting the illumination state according to claim 1, wherein the matching of the working gear of the illumination system according to the preset illumination parameter is specifically:
acquiring light intensity information and light color information of different light sources in an illumination system;
switching on a light source circuit of which the light color information in the lighting system is matched with the light color parameter in the preset lighting parameters;
and adjusting the output power limit value of the light source circuit according to the light intensity parameter in the preset illumination parameters.
5. The method of dynamic adjustment of illumination state of claim 1, further comprising, prior to acquiring facial feature data of the person:
monitoring character data in a use environment in real time, and judging whether an illumination system needs to be started or not according to the character data;
if the lighting system needs to be started, acquiring illumination data in the use environment, and setting initial lighting parameters according to the illumination data.
6. A dynamic lighting state adjustment device, characterized in that the dynamic lighting state adjustment device comprises:
the analysis module is used for acquiring facial feature data of the person, wherein the facial feature data comprises eye feature data, and the facial feature data is matched with mood standard values according to the facial feature data, specifically:
analyzing eyelid curvature according to the eye feature data, and matching mood setting values according to the initial eyelid curvature and the change condition of the real-time eyelid curvature;
if the real-time eyelid curvature is larger than the initial eyelid curvature, the matching mood index value is positive, if the real-time eyelid curvature is smaller than the initial eyelid curvature, the matching mood index value is negative, and if the real-time eyelid curvature is equal to the initial eyelid curvature, the matching mood index value is zero;
if the matching mood preset value is zero, heart rate characteristic data of the person are obtained, and the mood preset value is matched according to the comparison condition of the heart rate characteristic data and a heart rate threshold range;
if the heart rate characteristic data fall within a first heart rate threshold range, matching mood flag setting values to be zero, and if the heart rate characteristic data fall within a second heart rate threshold range, acquiring sound characteristic data of a person, and matching mood flag setting values according to comparison conditions of the sound characteristic data and the sound threshold range;
if the voice characteristic data fall in the voice threshold range, the matching mood setting value is zero, if the voice characteristic data are higher than the voice threshold range, the matching mood setting value is positive, and if the voice characteristic data are lower than the voice threshold range, the matching mood setting value is negative;
the judging module is used for acquiring current illumination parameters, wherein the current illumination parameters comprise light intensity parameters and light color parameters, and generating preset illumination parameters according to the current illumination parameters and the mood standard value, specifically:
performing superposition operation on the light intensity parameters according to a light intensity preset added value, and if the light intensity parameters after superposition operation are within a preset light intensity range, the preset illumination parameters comprise the light intensity parameters after superposition operation and the light color parameters;
if the light intensity parameter after the superposition is outside the preset light intensity range, carrying out superposition on the light color parameter according to the preset added value of the light color, and matching the balanced light intensity parameter under the light color parameter after the superposition, wherein the preset illumination parameter comprises the balanced light intensity parameter and the light color parameter after the superposition;
and the execution module is used for matching the working gear of the lighting system according to the preset lighting parameters and controlling gear switching.
7. A smart lamp, wherein the smart lamp employs the steps of the dynamic adjustment method of illumination state of any one of claims 1 to 5, or comprises the modules of the dynamic adjustment device of illumination state of claim 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310631072.5A CN116367390B (en) | 2023-05-31 | 2023-05-31 | Dynamic illumination state adjusting method and device and intelligent electric lamp |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310631072.5A CN116367390B (en) | 2023-05-31 | 2023-05-31 | Dynamic illumination state adjusting method and device and intelligent electric lamp |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116367390A CN116367390A (en) | 2023-06-30 |
| CN116367390B true CN116367390B (en) | 2023-08-15 |
Family
ID=86923789
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310631072.5A Active CN116367390B (en) | 2023-05-31 | 2023-05-31 | Dynamic illumination state adjusting method and device and intelligent electric lamp |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116367390B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110723066A (en) * | 2019-09-19 | 2020-01-24 | 武汉格罗夫氢能汽车有限公司 | Automobile atmosphere lamp automatic regulating system based on driver mood recognition |
| WO2020224126A1 (en) * | 2019-05-06 | 2020-11-12 | 平安科技（深圳）有限公司 | Facial recognition-based adaptive adjustment method, system and readable storage medium |
| CN112364787A (en) * | 2020-11-13 | 2021-02-12 | 江苏汉德天坤数字技术有限公司 | Facial micro-expression recognition method |
| CN113696820A (en) * | 2020-12-24 | 2021-11-26 | 苏州鸾鸣智能科技有限公司 | Intelligent emotion recognition atmosphere lamp based on image recognition |
| CN113766705A (en) * | 2021-04-30 | 2021-12-07 | 北京字节跳动网络技术有限公司 | Method and device for adjusting illumination parameters of table lamp, electronic equipment and storage medium |
| WO2023011941A1 (en) * | 2021-08-04 | 2023-02-09 | Koninklijke Philips N.V. | Adjusting lighting conditions |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9572232B2 (en) * | 2014-05-15 | 2017-02-14 | Universal Display Corporation | Biosensing electronic devices |
| KR20190034567A (en) * | 2016-07-28 | 2019-04-02 | 광둥 라이트 비주얼 헬스 리서치 인스티튜트 | Dynamic lighting method and apparatus |
| CN108628205A (en) * | 2018-02-08 | 2018-10-09 | 常州星宇车灯股份有限公司 | Intelligent atmosphere lamp control system in a kind of new car |
| CN112364817A (en) * | 2020-11-26 | 2021-02-12 | 深圳市旗华科技有限公司 | AI control system based on facial expression psychophysiological parameters |
-
2023
- 2023-05-31 CN CN202310631072.5A patent/CN116367390B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020224126A1 (en) * | 2019-05-06 | 2020-11-12 | 平安科技（深圳）有限公司 | Facial recognition-based adaptive adjustment method, system and readable storage medium |
| CN110723066A (en) * | 2019-09-19 | 2020-01-24 | 武汉格罗夫氢能汽车有限公司 | Automobile atmosphere lamp automatic regulating system based on driver mood recognition |
| CN112364787A (en) * | 2020-11-13 | 2021-02-12 | 江苏汉德天坤数字技术有限公司 | Facial micro-expression recognition method |
| CN113696820A (en) * | 2020-12-24 | 2021-11-26 | 苏州鸾鸣智能科技有限公司 | Intelligent emotion recognition atmosphere lamp based on image recognition |
| CN113766705A (en) * | 2021-04-30 | 2021-12-07 | 北京字节跳动网络技术有限公司 | Method and device for adjusting illumination parameters of table lamp, electronic equipment and storage medium |
| WO2023011941A1 (en) * | 2021-08-04 | 2023-02-09 | Koninklijke Philips N.V. | Adjusting lighting conditions |
Non-Patent Citations (1)
| Title |
|---|
| 照明改善情绪 创新实现双赢;商学院(12);15-17 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116367390A (en) | 2023-06-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2018129716A1 (en) | Intelligent light control system and method | |
| US6720743B2 (en) | Lighting system | |
| CN111460850B (en) | Data processing method and device, electronic equipment and storage medium | |
| CN113347768B (en) | Intelligent light regulation and control method and device, electronic equipment and storage medium | |
| CN116634622A (en) | LED intelligent control method, system and medium based on Internet of things | |
| CN111667798A (en) | Screen adjusting method and device | |
| CN113760206A (en) | Method and device for adjusting brightness of lighting device, electronic equipment and storage medium | |
| CN116367390B (en) | Dynamic illumination state adjusting method and device and intelligent electric lamp | |
| KR20230125146A (en) | Smart lighting control system and its method | |
| CN114884763A (en) | Intelligent lighting system adjusted according to emotion | |
| JP2003334250A (en) | Illumination device and illumination control unit | |
| CN117082665B (en) | LED eye-protection desk lamp illumination control method and system | |
| CN112218414A (en) | Method and system for adjusting brightness of self-adaptive equipment | |
| CN111741563A (en) | Eye protection method and device for adjusting ambient light, terminal device and readable storage medium | |
| CN115942559A (en) | Side atmosphere light intelligent regulation system applied to surface-mounted flat lamp | |
| CN114625020B (en) | Electric appliance control method, device and system | |
| CN110119708A (en) | A kind of User Status method of adjustment and device based on desk lamp | |
| CN108572557A (en) | The control system and control method of sleep environment | |
| CN105159455B (en) | A kind of control method and device based on biological sample feature | |
| CN113838411A (en) | LED display screen brightness adjusting method, system and equipment based on human-induced illumination | |
| CN211409015U (en) | Vision screening instrument capable of automatically adjusting brightness of lamp panel | |
| CN117059007B (en) | Control method of intelligent display screen and display screen | |
| CN117279170B (en) | Light adjusting method and system for eye-protection lamp | |
| KR102440383B1 (en) | Method And System for Controlling Sleep Induction LED | |
| CN114279074B (en) | Sleep awakening control method, control system, air conditioner and household appliance |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |