CN208190975U - A kind of color temperature adjustment lighting system based on characteristics of EEG - Google Patents
A kind of color temperature adjustment lighting system based on characteristics of EEG Download PDFInfo
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- CN208190975U CN208190975U CN201820812113.5U CN201820812113U CN208190975U CN 208190975 U CN208190975 U CN 208190975U CN 201820812113 U CN201820812113 U CN 201820812113U CN 208190975 U CN208190975 U CN 208190975U
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Abstract
The color temperature adjustment lighting system based on characteristics of EEG that the utility model discloses a kind of comprising micro control module and the characteristics of EEG measurement module being connected respectively with micro control module, color temperature sensor, colour temperature output module, light source module, master control switch, key module and indicator light.Characteristics of EEG measurement module is used to measure the characteristics of EEG of human body, and sends signal to micro control module；Color temperature sensor is used to the color temperature information currently measured being transferred to micro control module；Micro control module, which is used to receive and process, calculates the data that other modules are transmitted to it；Colour temperature output module, which is used to realize under the control of micro control module, adjusts colour temperature.The utility model can automatic regulating system export colour temperature, so that user is in minimum Mental Workload state always, mitigate user job burden, improve user job efficiency.
Description
Technical field
The utility model relates to illuminate relevant field more particularly to a kind of color temperature adjustment illumination system based on characteristics of EEG
System.
Background technique
As people are to the growing interest of health, the design of artificial light sources and variation, research emphasis is occurring
From original raising illumination efficiency, reduce energy consumption pollution and reduce production cost the considerations of, be gradually varied to that be conducive to human body strong
Health and comfortable direction.In 1996 it was recognized that light source on human body, there are vision and non-vision effect, both influence it
Afterwards, more and more people are placed on research emphasis the research of the non-vision effect of light source.In 2002, it has been found that and confirmed
The non-vision effect of human eye, and illumination is to the nerve pathway of the non-vision function of human body.For a long time, people are to non-vision effect
The behaviouristics feedback method the such as when research means answered mainly are taken subjective scale, reacted, the also method of useful instrument such as brain electrical measurement
Amount.However, there is cannot be neglected limitation for these methods:
1, people are extremely inaccurate to the evaluation of itself light perception ability, and the result of subjective assessment will receive own self emotion
With seriously affecting for cognition so that evaluation result fluctuation is greater than its numerical value, therefore absolutely not reference significance.
Although 2, behaviouristics feedback test is based on fixed measurement standard, and behaviouristics feedback is reflection human body ability to work
Objective indicator, but be subjective for the test of these objective indicators.Test process needs tested individual to make accordingly
Reaction and selection, however the degree of cooperation of tested individual is limited by its mood and cognition, so that final testing result does not have
There is accuracy.
3, traditional brain electrical testing is that the relative energy size of tetra- kinds of waves of δ, θ, α, β is done qualitative analysis, or and behaviouristics
Feedback test index is used in mixed way.But physiological significance described in four kinds of wave relative energy sizes is simultaneously indefinite, it will usually cause
Characteristics of EEG can not be established the case where being associated with Mental Workload degree.
Utility model content
The purpose of this utility model is to provide one kind can automatic regulating system export colour temperature, make to illuminate healthier and comfortable
Color temperature adjustment lighting system.
To achieve the above object, the utility model uses following technical scheme:
A kind of color temperature adjustment lighting system based on characteristics of EEG comprising:
Characteristics of EEG measurement module, the characteristics of EEG measurement module are connected with micro control module, are used to measure human body
Characteristics of EEG, and signal is sent to the micro control module；
Color temperature sensor, the color temperature sensor are connected with micro control module, are used to pass the color temperature information currently measured
It is defeated by the micro control module；
Micro control module, the micro control module calculate the characteristics of EEG measurement module and colour temperature sensing for receiving and processing
Device to its transmit data, compared with built-in colour temperature curve after obtain optimum colour temperature；
Colour temperature output module, the colour temperature output module is connected with the micro control module, for the control in micro control module
Lower adjusting colour temperature；
Light source module, the light source module are connected with the micro control module, are used for luminous lighting；
And master control switch, the master control switch is connected with the micro control module, for being powered for system.
Further include key module, the key module is connected with the micro control module, for for user according to oneself habit
It is used to choose suitable lighting illumination intensity and colour temperature curve of output.
It further include indicator light, the indicator light is connected with the micro control module, for showing the currently selected color of user
Warm curve of output.
The colour temperature curve of output meets the formula of following output optimum colour temperature:
Wherein, CT0 indicates optimum colour temperature, and CT indicates the colour temperature currently measured, and n indicates the brain currently measured, and number is bent by means of emails or letters
Line, n0 indicate intrinsic brain number curve by means of emails or letters.
The characteristics of EEG measurement module uses forehead electrode module, and the forehead electrode module is by being attached on forehead
Electrode slice detects the situation of change of skin potential, to be converted into EEG signals.
The human body characteristics of EEG of the characteristics of EEG measurement module measurement includes four kinds of δ wave, θ wave, α wave, β wave E.E.G spies
Sign.
After adopting the above technical scheme, the utility model compared with the background art, has the advantages that
The utility model lighting system describes the illumination light quality of light source with colour temperature, can monitor the E.E.G of user in real time
Feature chooses built-in colour temperature curve accordingly, and the colour temperature of automatic regulating system output is in user always minimum mental negative
Lotus state mitigates the homework burden of user, improves user job efficiency.The utility model can be used for illuminating relevant any neck
Domain has high practicability.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the utility model embodiment.
Fig. 2 is the tested individual that 20~30 years old is in certain age bracket, the optimum color fitted according to its brain electrical feature
Warm curve.
Specific embodiment
In order to make the purpose of the utility model, technical solutions and advantages more clearly understood, below in conjunction with attached drawing and implementation
Example, the present invention will be further described in detail.It should be appreciated that specific embodiment described herein is only used to explain
The utility model is not used to limit the utility model.
Brain wave signal is usually reflected by EEG signal.EEG characteristic wave includes tetra- kinds of δ, θ, α, β, they are close with brain activity
Correlation, therefore be used to reflect brain activity situation.The energy intensity of every kind of characteristic wave can become with the variation of brainfag degree
Change.Wherein δ wave is the wave that frequency is less than 4Hz, is usually occurred in sleep.θ wave frequency rate be 4~8Hz, usually it is sleepy with it is tired
When occur.α wave frequency rate is 9~13Hz, is usually occurred awake in the state of loosening.β wave frequency rate is 14~30Hz, is usually existed
Occur under excited or wake-up states.The utility model chooses index ginseng of four kinds of characteristic wave relative energies as reflection Mental Workload
Number, establishes Mental Workload expression formula.According to this expression formula, Mental Workload parameter is established into corresponding pass with suitable colour temperature
System.The utility model can be adapted for illuminating it is relevant how field, provide guidance for the design of illuminating product.
1, Mental Workload and colour temperature relationship
In mental operation process in the case where no color temperature interference, human brain itself load can be with activity duration t and in finger
The accumulation of number form formula
Lint=L0·eβt
Wherein L0For intrinsic Mental Workload, numerical values recited is related to the personal feature of user.
Under the light source for being in colour temperature CT illuminates, the human brain as caused by colour temperature accumulates extra duty merely are as follows:
Lextra=L1·(CT-CT0)2
Wherein L1For colour temperature load buildup factor, numerical values recited is related to user's personal feature.CT0 is user's optimum
Colour temperature.
In summary formula, available final human brain accumulate Mental Workload size are as follows:
L=Lint+Lextra
L=L0·eβt+L1·(CT-CT0)2
2, feature E.E.G and Mental Workload relationship
The accumulation of Mental Workload is that brain ability to work weakens as a result, it shows as the decline of brain wave vibration energy.E.E.G
Vibrational energy can be expressed as
D ε=n (ν) hd ν
Wherein n (ν) is relative energy size corresponding to the frequency of somewhere, therefore final energy are as follows:
E=h ∫ n (ν) d ν
According to the meaning of Mental Workload, brain degree of fatigue is bigger, and Mental Workload is bigger, and brain vibrational energy is smaller, because
Relationship between this Mental Workload and brain vibrational energy meets
E=λ e-μL
Wherein λ μ is constant, therefore
λe-μL=h ∫ n (ν) d ν
I.e.
3, optimum colour temperature exports
For intrinsic Mental Workload L0With colour temperature load buildup factor L1, have
Wherein n0 is intrinsic E.E.G curve functional relation varying with frequency, and n1 is E.E.G curve caused by colour temperature with frequency
The functional relation of variation.Therefore, according to
L=L0·eβt+L1·(CT-CT0)2
It can obtain
Abbreviation is
According to the physical significance of n1, it is known that
N1=n-n0
Therefore
This is the formula for exporting optimum colour temperature, can be obtained by formula, by means of emails or letters according to measured current colour temperature CT, most akrencephalon
Number curve n and intrinsic brain number curve n0 by means of emails or letters, can calculate the optimum colour temperature CT0 that should be exported.
As shown in Figure 1, to achieve the goals above, a kind of colour temperature tune based on characteristics of EEG designed by the utility model
Save forehead electrode module, color temperature sensor, color that lighting system includes micro control module (MCU) and is connected respectively with micro control module
Warm output module, light source module, master control switch, key module and indicator light.
Forehead electrode module is used to measure four kinds of characteristics of EEG of human body, and sending signal to micro control module makes it control light
Source module colour temperature；Forehead electrode module is the electrode slice by being attached on forehead to detect the situation of change of skin potential, thus
It is converted into EEG signals.Can also measure characteristics of EEG using other equipment, the utility model for using which kind of device and
Method is with no restrictions.
Color temperature sensor is used to the color temperature information currently measured being transferred to micro control module；Micro control module (MCU) is for connecing
Receive and handle and calculate the data that other modules are transmitted to it, compared with built-in colour temperature curve after calculate optimum colour temperature, Xiang Qi
Its module issues instruction to reach control.
Colour temperature output module includes constant-current driven chip, makes micro control module (MCU) can be by the duty ratio of adjusting PWM
The electric current for changing constant-current driven chip, to realize adjusting colour temperature.
Light source module is used for luminous lighting, and LED illumination lamp can be used；Master control is switched for being powered for system.Key
Module is used to choose suitable lighting illumination intensity and colour temperature curve of output according to the habit of oneself for user.Indicator light is used for showing
The currently selected colour temperature curve of output in family.
The amount of optimum colour temperature is described used by the utility model with brain electrical feature waveform
This formula can according to measured current colour temperature CT, as forebrain number curve n and intrinsic brain number curve n0 by means of emails or letters by means of emails or letters,
Optimum colour temperature CT0 described, thus according to current colour temperature and characteristics of EEG situation adjustment output color temperature value.
For the crowd being under identical color temperature light sources, measure they current colour temperature CT, when forebrain by means of emails or letters number curve n and
Intrinsic brain number curve n0 and is averaged by means of emails or letters, is substituted into above-mentioned equation, can be found out optimum colour temperature and change over time curve.
Embodiment 1
20~30 years old tested individual is in certain age bracket, measure its current colour temperature CT, when forebrain by means of emails or letters number curve n and
Intrinsic brain number curve n0 by means of emails or letters.Above-mentioned formula is substituted into, its optimum colour temperature curve is drawn out, it as shown in Figure 2, will be built in this curve
In in the lighting system of the utility model.Make tested individual operation 45min under the lighting system lighting environment, measures it most
Whole n value is higher than the value under common LED illuminator.
Embodiment 2
15~25 years old tested individual is in certain age bracket, measure its current colour temperature CT, when forebrain by means of emails or letters number curve n and
Intrinsic brain number curve n0 by means of emails or letters.Above-mentioned formula is substituted into, its optimum colour temperature curve is drawn out, it is practical new that this curve is built in this
In the lighting system of type.Make tested individual operation 45min under the lighting system lighting environment, it is high to measure its final n value
In the value under common LED illuminator.
Embodiment 3
It is in 19~29 years old subject group (n=20) to certain age bracket, measures its current colour temperature CT, when forebrain counts by means of emails or letters
Curve n and intrinsic brain number curve n0 by means of emails or letters.Above-mentioned formula is substituted into, its optimum colour temperature curve is drawn out, this curve is built in
In the lighting system of the utility model.Make tested individual operation 45min under the lighting system lighting environment, it is final to measure it
N value be higher than value under common LED illuminator.
The preferable specific embodiment of the above, only the utility model, but the protection scope of the utility model is not
It is confined to this, anyone skilled in the art within the technical scope disclosed by the utility model, can readily occur in
Change or replacement, should be covered within the scope of the utility model.Therefore, the protection scope of the utility model should
It is subject to the protection scope in claims.
Claims (6)
1. a kind of color temperature adjustment lighting system based on characteristics of EEG, it is characterised in that: including
Characteristics of EEG measurement module, the characteristics of EEG measurement module are connected with micro control module, are used to measure the E.E.G of human body
Feature, and signal is sent to the micro control module；
Color temperature sensor, the color temperature sensor are connected with micro control module, and the color temperature information for being used to currently to measure is transferred to
The micro control module；
Micro control module, the micro control module for receive and process calculate the characteristics of EEG measurement module and color temperature sensor to
Its transmit data, compared with built-in colour temperature curve after obtain optimum colour temperature；
Colour temperature output module, the colour temperature output module are connected with the micro control module, for the control downward in micro control module
Save colour temperature；
Light source module, the light source module are connected with the micro control module, are used for luminous lighting；
And master control switch, the master control switch is connected with the micro control module, for being powered for system.
2. a kind of color temperature adjustment lighting system based on characteristics of EEG as described in claim 1, it is characterised in that: further include by
Key module, the key module are connected with the micro control module, for choosing suitable illumination according to the habit of oneself for user
Illumination and colour temperature curve of output.
3. a kind of color temperature adjustment lighting system based on characteristics of EEG as claimed in claim 2, it is characterised in that: further include referring to
Show that lamp, the indicator light are connected with the micro control module, for showing the currently selected colour temperature curve of output of user.
4. a kind of color temperature adjustment lighting system based on characteristics of EEG as claimed in claim 3, it is characterised in that: the colour temperature
Curve of output meets the formula of following output optimum colour temperature:
Wherein, CT0 indicates optimum colour temperature, and CT indicates the colour temperature currently measured, and n indicates the brain currently measured number curve by means of emails or letters,
N0 indicates intrinsic brain number curve by means of emails or letters.
5. a kind of color temperature adjustment lighting system based on characteristics of EEG as described in claim 1, it is characterised in that: the E.E.G
Feature measurement module uses forehead electrode module, and the forehead electrode module detects skin by the electrode slice being attached on forehead
The situation of change of current potential, to be converted into EEG signals.
6. a kind of color temperature adjustment lighting system based on characteristics of EEG as claimed in claim 5, it is characterised in that: the E.E.G
The human body characteristics of EEG of feature measurement module measurement includes four kinds of δ wave, θ wave, α wave, β wave characteristics of EEG.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108495423A (en) * | 2018-05-25 | 2018-09-04 | 昆山人因健康工程研发中心有限公司 | A kind of color temperature adjustment lighting system based on characteristics of EEG |
| CN111246638A (en) * | 2020-01-23 | 2020-06-05 | 深圳市大拿科技有限公司 | Intelligent lamp control method and related device |
-
2018
- 2018-05-25 CN CN201820812113.5U patent/CN208190975U/en not_active Withdrawn - After Issue
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108495423A (en) * | 2018-05-25 | 2018-09-04 | 昆山人因健康工程研发中心有限公司 | A kind of color temperature adjustment lighting system based on characteristics of EEG |
| CN108495423B (en) * | 2018-05-25 | 2024-04-30 | 昆山人因健康工程研发中心有限公司 | Color temperature adjusting and lighting system based on brain wave characteristics |
| CN111246638A (en) * | 2020-01-23 | 2020-06-05 | 深圳市大拿科技有限公司 | Intelligent lamp control method and related device |
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Granted publication date: 20181204 Effective date of abandoning: 20240430 |
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