CN105854147A - Intelligent home environment regulation system and method - Google Patents
Intelligent home environment regulation system and method Download PDFInfo
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- CN105854147A CN105854147A CN201610154522.6A CN201610154522A CN105854147A CN 105854147 A CN105854147 A CN 105854147A CN 201610154522 A CN201610154522 A CN 201610154522A CN 105854147 A CN105854147 A CN 105854147A
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- regulation
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- control instruction
- home environment
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
Abstract
The embodiment of the invention discloses an intelligent home environment regulation system and an intelligent home environment regulation method. The intelligent home environment regulation system comprises a monitoring device, a processing terminal and an intelligent home terminal, wherein the monitoring device is used for collecting data through electroencephalogram signals, converting collected analog signals into digital signals, and sending the digital signals to the processing terminal; the processing terminal is used for receiving the digital signals, processing the digital signals to obtain regulating instructions, and sending the regulating instructions to the intelligent home terminal; and the intelligent home terminal is used for receiving the regulating instructions, and carrying out environment regulation according to the regulating instructions. In the embodiment of the invention, the polysomnogram theory and the brain wave analysis technology are applied to the real life, so that a complete sleep management system integrating signal collection, processing, analysis, regulation and the like is realized; through an efficient algorithm, the suitable environmental state is obtained through regulation within the shortest time, thus good sleep experience is provided for a user, and the living quality of the user is improved; the sleep state of the user can be monitored and recorded, and thus the potential sleep problems of the user can be found in time.
Description
Technical field
The present invention relates to home environment control technique field, particularly relate to a kind of Intelligence home environment regulation and control
System.
Background technology
Ambient intelligence (ambient intelligence, AmI) refers to there is a people sensing and feedback
Electronic environment.In the ambient intelligence world, equipment cooperates backer together to complete their daily
Activity, task, ceremony etc., allow them use these information and to be hidden in these equipment
Become easier to during intelligent in network, more natural.These equipment become less, connection is tightr,
The most higher is integrated in environment.
The gold method being usually used in monitoring sleep is polysomnogram (Poly Somno Graphy, PSG).
The method needs multiple electrodes to contact for a long time with human body, is usually used in laboratory or medical environment, unsuitable
Guard in domestic sleeping.Relatively simple wrist activity recorder has certain in acquisition data
Limitation.Polysomnography method typically requires the electroencephalogram of recorder, electroculogram, electromyogram,
Mouth and nose air-flow, blood oxygen saturation etc., thus reach the sleep of people is measured accurately.But it is this
The cost of monitoring method is the highest.
Intelligent bracelet utilizes gravity sensing, and when human body has faint motion time, bracelet is identified as either shallow and sleeps
Sleep.During deep sleep, human body is relaxation state, and substantially without there being motion change, now bracelet is judged to
Deep sleep.Show to get up in the night to urinate or clear-headed when Large Amplitude Motion time.There is a lot of problem, such as difficult
Sleep in short-term so that detection afternoon nap is this；It is difficult to accurately judge time for falling asleep；Can't stand after such as turning off the light
I.e. fall asleep, before having user to like sleeping/wake up after play mobile phone, though not the most significantly action can not be judged as sleep yet
State.If weighed with polysomnogram, nowadays these Intelligent bracelet error-prone.
Intelligent sleep mattress sleep based on basic physiological parameters such as cardiac cycle, respiratory wave and body move knot
Structure analyzes method, it is provided that During Night Time dynamic physiological parameter continuously, forms new diagnostic message,
Accurately identify all kinds of sleep-disorder, it is determined that the effect for the treatment of；May be used for all kinds of special occupation, Asia is good for
The medical supervision of Kang Renqun etc., more science recognize all sidedly health state and disease generation,
Developing and lapse to, the treatment for disease provides foundation accurately.It is applied to China at present empty
The sleep monitor of army pilot, clinical practice still belongs to " new science and technology ".Sensitive (mainly by fine motion
By zoned pressure sensing constitute) distinguish measured state.Heart rate is obtained by Noninvasive detection
With breathing state information.But when being monitored, tester need to lie on special mattress, this may
Affect the sleep quality of tester, and then the monitoring result of impact sleep index.
Intelligent use relies on acceleration sensor, identifies the motion of 0.25 to 3HZ, by threshold method or system
Meter method, analyzes sleep stage.But the activity of neural aspect can instruct muscle to a certain extent
Motion, otherwise but not so.And these application there is problems: the first product of different brands,
Sensor sensitivity is different；Secondly, the placement location of equipment, it is not necessary to can accurately unify；And
Sleeping posture may impact (as arm is pressed on equipment) to result.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, the invention provides a kind of wired home
Environment conditioning system and method, can reduce cost, improves monitoring accuracy, it is achieved full automation.
In order to solve the problems referred to above, the present invention proposes a kind of Intelligence home environment regulator control system, described
System includes:
Monitoring device, for by eeg signal acquisition data, is converted to the analog signal gathered
Data signal, and described data signal is sent to processing terminal；
Processing terminal, is used for receiving described data signal, and processes described data signal, obtain
Obtain regulation and control instruction, and described regulation and control instruction is sent to intelligent household terminal；
Intelligent household terminal, is used for receiving described regulation and control instruction, and carries out ring according to described regulation and control instruction
Border regulates and controls.
Preferably, described monitoring device includes:
Acquisition module, for by eeg signal acquisition analog signal；
Signal conversion module, for being converted into data signal by described analog signal；
Wireless transport module, for being sent to described processing terminal by described data signal.
Preferably, described acquisition module is electroencephalogramsignal signal acquisition module.
Preferably, described processing terminal includes:
Wireless receiving module, for receiving the data signal that described monitoring device sends；
Processor, for processing described data signal, it is thus achieved that regulation and control instruction；
Zigbee module, for being sent to described intelligent household terminal by described regulation and control instruction.
Preferably, described processor includes:
Assessment unit, for carrying out sleep state assessment according to described data signal, it is thus achieved that assessment result；
Computing unit, for calculating described assessment result, and obtains regulation and control instruction.
Preferably, the CPU that described processor selects kernel to be ARM 32.
Preferably, described Zigbee module uses CC2530 chip.
Preferably, described intelligent household terminal includes:
Zigbee module, for receiving the regulation and control instruction that described processing terminal sends；
Regulation and control module, for carrying out environment conditioning according to described regulation and control instruction.
Correspondingly, the present invention also provides for a kind of Intelligence home environment regulation and control method, and described method includes:
By eeg signal acquisition data, the analog signal gathered is converted to data signal；
Described data signal is processed, it is thus achieved that regulation and control instruction；
Environment conditioning is carried out according to described regulation and control instruction.
Preferably, described described data signal is processed, it is thus achieved that the step of regulation and control instruction:
Sleep state assessment is carried out, it is thus achieved that assessment result according to described data signal；
Described assessment result is calculated, and obtains regulation and control instruction.
In embodiments of the present invention, by leading, sleep is theoretical and brain wave analytical technology is applied to actual life more
In work, it is achieved that signal collection, process, analyze, the complete sleep management system such as regulation, and lead to
Cross efficient algorithm within the shortest time, be adjusted to suitable ambient condition, provide the user preferably
Sleep is experienced, and improves the quality of life of user；The sleep state of monitoring record user can be realized simultaneously,
Find the sleeping problems that user is potential in time；Can be automatically obtained by intelligent terminal, it is achieved fully automated
Change, it is not necessary to user's Self-operating, meet the demand of all kinds user.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below by right
In embodiment or description of the prior art, the required accompanying drawing used is briefly described, it should be apparent that,
Accompanying drawing in describing below is only some embodiments of the present invention, for those of ordinary skill in the art
From the point of view of, on the premise of not paying creative work, it is also possible to obtain the attached of other according to these accompanying drawings
Figure.
Fig. 1 is the structure composition schematic diagram of the Intelligence home environment regulator control system of the embodiment of the present invention；
Fig. 2 is the schematic flow sheet of the Intelligence home environment regulation and control method of the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is entered
Row clearly and completely describes, it is clear that described embodiment is only a part of embodiment of the present invention,
Rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not having
Have and make the every other embodiment obtained under creative work premise, broadly fall into present invention protection
Scope.
Fig. 1 is the structure composition schematic diagram of the Intelligence home environment regulator control system of the embodiment of the present invention, as
Shown in Fig. 1, this system includes:
Monitoring device 1, for by eeg signal acquisition data, is converted to the analog signal gathered
Data signal, and data signal is sent to processing terminal 2；
Processing terminal 2, is used for receiving data signal, and processes data signal, it is thus achieved that regulation and control refer to
Order, and regulation and control instruction is sent to intelligent household terminal 3；
Intelligent household terminal 3, is used for receiving regulation and control instruction, and carries out environment conditioning according to regulation and control instruction.
Wherein, monitoring device 1 includes:
Acquisition module, for by eeg signal acquisition analog signal；
Signal conversion module, is used for converting analog signals into data signal；
Wireless transport module, for being sent to processing terminal 2 by data signal.
In being embodied as, acquisition module is electroencephalogramsignal signal acquisition module.
Based on STC12C5A60S2 single-chip microcomputer, wireless chip nRF24L01, EEG signals are wireless adopts
Collecting system.Wherein the STC12C5A60S2 single-chip microcomputer of transmitting terminal is used for data acquisition and pretreatment,
NRF24L01 module is transmitted for data transmit-receive.
Processing terminal 2 farther includes:
Wireless receiving module, for receiving the data signal that monitoring device sends；
Processor, for processing data signal, it is thus achieved that regulation and control instruction；
Zigbee module, for being sent to intelligent household terminal by regulation and control instruction.
Processor includes:
Assessment unit, for carrying out sleep state assessment according to data signal, it is thus achieved that assessment result；
Computing unit, for calculating assessment result, and obtains regulation and control instruction.
The CPU that processor selects kernel to be ARM 32.It is easy to low-cost design Embedded Application
STM32F103VET6, this processor has low in energy consumption, postpones little, it is easy to the features such as exploitation.
In the embodiment of the present invention, Zigbee module uses CC2530 chip.
Intelligent household terminal 3 includes:
Zigbee module, for receiving the regulation and control instruction that processing terminal sends；
Regulation and control module, for carrying out environment conditioning according to regulation and control instruction.
The analog signal collected by " EMOTIV INSIGHT " head signal collection device, is needed
Pre-process.
Pretreatment includes the fall amount of adopting, amplifies and filter and digital-to-analogue conversion.The fall amount of adopting refers to the algorithm that leads
Carry out choosing of coherent signal, to reduce data volume.Afterwards need amplify EEG signals, above-mentioned two
Process can be completed by electroence phalograph.Finally being filtered with wave filter, main filtration falls power frequency to be done
Disturb, eye movement artefact and electrocardio artefact etc., to strengthen brain electricity composition to be processed.Afterwards through AD
Conversion converts analog signals into data signal.
Carry out waveform separation.Criteria for classification main process is to judge the waveform in electroencephalogram.People is in sleep
Time brain wave mainly have as follows:
1. the 0.5-3 time/second of δ ripple, wave amplitude 20-200 microvolt range, also referred to as " high-amplitude slow wave ", is to sleep
Main performance under dormancy state；
2. the 4-7 time/second of θ ripple, occur under the extremely tired and narcosis of adult；
3. the 8-13 time/second of α ripple, when being grown up leader record on scalp, wave amplitude is at 20-5-microvolt range,
Also known as " fast wave by a narrow margin ", it it is the cortex main performance when being in rest state；
4. the 14-30 time/second of β ripple, wave amplitude only has 5-20 microvolt, is that neocortex is in nervous active state
Main brain ammeter existing；
5. Κ-compound bulk wave, be slow wave 2 phase a kind of waveform of specific appearance, by negative and positive
Big slow wave composition.
Just sleep stage can be judged according to all kinds of shape informations after identifying and have recorded waveform, people's
Sleep procedure is as follows with contacting of each waveform:
1. awakening (W): EEG primary waves rate is that alpha rhythm is (with eye movement and nictation；Tension
Myoelectricity wave amplitude is higher).
NREM sleep stage: EEG is (without obvious eye movement, Muscle tensility reduces) based on slow wave.
2. first stage (S1): α ripple is down to less than 50%, for the θ ripple gradually increased, for low electricity
Pressure hybrid frequency EEG, the later stage may occur in which hump ripple, and (eye movement is slack-off；Tension myoelectricity slightly reduces).
3. second stage (S2): EEG there is clear and definite sleep spindle and K complex wave, high-amplitude slow wave
(75 more than μ V, less than 2 times per second) (eye movement disappears substantially within 20%；Tension flesh
Electricity slightly reduces).
4. phase III (S3): high-amplitude slow wave (δ ripple) is (without eye movement, tension more than 20%
Myoelectricity reduces).
5. fourth stage (S4): high-amplitude slow wave (δ ripple) more than 50% (without eye movement, tension flesh
Electricity reduces E).
6. the REM sleep stage: EEG with S1 is similar；Having sawtooth waveforms prompting REM to start, α ripple increases
Many (with rapid eye movements, tension myoelectricity is minimum).
In whole sleep procedure NREM sleep and REM sleep time alternate existence.Normally
In sleep procedure, above-mentioned each phase occurs the most in order, i.e. from clear-headed (W)-slow wave sleep (NREM)
S1-S2-S3-S4, then brain electricity develops the most in the opposite direction and reappears S3-S2-for the first time
REM sleep, could enter second time REM after then repeating slow wave sleep S2-S3-S4-S3-S2
Sleep.The cyclically-varying of formation rule so the most again and again, such mechanical periodicity one occurs in night
3～5 times.Process is essentially W-S1-(S2-S3-S4-S3-S2-REM)-(S2-S3-S4-S3-S2-REM)
-S2-S3-S4-S3-S2-REM)-W。
1. the many frequency dividings using Wavelet transformation are analyzed and EEG signals are divided into high and low frequency signal, pass through
Useful component in reconstruction signal stick signal.
Select the reason of wavelet transformation: wavelet transformation is a kind of effective ways analyzing non-stationary signal.
And multiresolution analysis therein has preferable Time-frequency Decomposition characteristic, applies very in signal analysis
Generally.
Realizing the MATLAB wavelet function that said process uses is:
[C, L]=wavedec (X, N, ' wname') '；This function is wavelet decomposition function, and wherein C is wavelet decomposition
Vector, L is record vector, and X is the signal being decomposed, and N is Decomposition order, and wname is selected
Wavelet basis.
2. use Wavelet Packet Technique to be decomposed by EEG signals, extract four kinds of brain electricity according to decomposition result
The rhythm and pace of moving things.
Select the reason of wavelet package transforms: because wavelet packet analysis can provide one more smart for signal
Thin analysis method, its more prominent advantage is the low frequency in every layer and high-frequency signal all to have been carried out point
Solve, improve the resolution ratio of HFS.And wavelet transformation also has adaptivity, can be according to quilt
Analyze the feature of signal, select the frequency band corresponding with self, make it match with signal spectrum.
The sample frequency arranging brain electricity is 200HZ, owing to carrying out 7 layers of WAVELET PACKET DECOMPOSITION, and minimum resolution
Rate is 0.78HZ (1/2^7).The i-th node of the jth layer that [if j, i] is WAVELET PACKET DECOMPOSITION, then four
The partial node that brain wave rhythm frequency range is comprised is:
δ ripple [6,1], [7,1] [7,4]
θ ripple [6,3], [7,6], [7,5], [7,7]
α ripple [5,3], [6,5], [7,16]
β ripple [4,3], [5,8], [5,5], [6,9], [7,18], [7,38]
The MATLAB wavelet package transforms function used has: T=wpdec (X, N, ' wname')；Use little
Ripple ' wname', and according to vector X in the WAVELET PACKET DECOMPOSITION structure of n-th layer, return wavelet packet tree T.
3. change change of scale carry out wavelet transformation, according to continuous wavelet result of variations find out the signal of telecommunication with
The similarity degree of wavelet function (coefficient is four species rhythms).If conversion output signal is maximum, then mate
Sleep stage degree is the best.
Use function X1=A*T1+B*T2+C*T3+D*T4.X is sleep stage
(W, S1, S2, S3, S4, REM), T1-T4 is the wavelet packet tree of 4 rhythm and pace of moving things.A-D be with each rhythm and pace of moving things,
The wave spectrum coefficient that sleep stage matches.
5. current matching result (sleep stage W, S1, S2, S3, S4, REM) is exported to processing terminal.
Main function of system, for building environment of suitably falling asleep, helps user to enter and sleep soundly the stage, keep
Stable sleep cycle.
Sleep stage can be divided into: W, S1, S2, S3, S4, REM sleep, rational sleep procedure
Should be entrance S1 in 15 minutes, in 1 hour, enter the S3 stage.System is by the sleep according to user
Environment is estimated by process.
The environmental factor that system considers has: temperature, humidity, lamplight brightness, background volume
Each environmental factor uniformly chooses 10 points in zone of reasonableness, (as temperature pleasant scope is
24～29, then choose a point at interval of 0.5 degree Celsius.Different times zone of reasonableness may be different)
Interior point for each environmental factor is marked, and score value is the integer of 0～100, the standard of scoring
Can obtain according to test, or by initial score value a little be set to 50.
System programme of work:
(1) sleep pattern:
Step 1: starting sleep pattern, current sleep state is set to W；
Step 2: inputted current sleep state every 5 minutes, if within 5 minutes, entering S1 at first,
Then judge that current sleep environment is suitable, enter step 21；If within 5 minutes, entering S1 at second, then sentence
Disconnected current sleep environment is better than expection, enters step 22；If within 5 minutes, entering S1 at the 3rd, then sentence
Disconnected current sleep environment is useless, enters step 23；If within 5 minutes, S1 still can not be entered at the 3rd, say
Bright current sleep environment is not suitable for, and enters step 3.
Step 21: the score value of each factor current environment parameter is added 5 points, environment adjacent parameter score value
Add 3 points, distance be 2 ambient parameter add 2 points, distance be 3 parameter add 1 point, distance is 6
Above subtract 1 point, keep current ambient conditions to enter next pattern.
Step 22: the score value of each factor current environment parameter is added 3 points, environment adjacent parameter score value
Add 1 point, keep current ambient conditions to enter next pattern.
Step 23: keep current ambient conditions to enter next pattern.
Step 3: brain wave complexity with initial waking state current according to user contrasts current environment and enter
Row grading, can be divided into 5 ranks 1～5, and rank the highest explanation current environment is the most improper, for each working as
Front ambient parameter subtracts 1,2,3,5,7 points, and the punishment of environment adjacent parameter successively decreases 2 with distance, until less than 0.
Step 4: be adjusted each factor of current environment, adjustment direction is for pointing in environmental factor
The ambient parameter of balloon score, the amplitude of adjustment is (1-current environment parameter scores/100) * current environment level
Not.Adjustment completes to enter step 2.
(2) deep sleep modes:
Step 1: inputted current sleep state every 15 minutes, if brain wave complexity becomes in declining
Gesture, illustrates that user is just entering deep sleep stages, repeats step 1；If recording user to enter the S3 stage, enter
Enter step 2, if double recording inputs as waking state, entrance sleep pattern.
Step 2: environment is gradually adjusted to the preset value of applicable S3.Record sleep cycle.
Step 3: experience 4～5 sleep cycles or close to alarm time, enter awakening mode.
(3) awakening mode:
Step 1: recorded sleep state every 5 minutes, currently enters step for sleeping state if recording
2。
Step 2: slowly heighten room brilliancy and volume.
Correspondingly, the embodiment of the present invention also provides for a kind of Intelligence home environment regulation and control method, such as Fig. 2 institute
Showing, the method includes:
S1, by eeg signal acquisition data, is converted to data signal by the analog signal gathered；
S2, processes data signal, it is thus achieved that regulation and control instruction；
S3, carries out environment conditioning according to regulation and control instruction.
Further, S2 includes:
Sleep state assessment is carried out, it is thus achieved that assessment result according to data signal；
Assessment result is calculated, and obtains regulation and control instruction.
Flow processing in the inventive method embodiment can be found in each function mould in present system embodiment
The function of block describes, and repeats no more here.
In embodiments of the present invention, by leading, sleep is theoretical and brain wave analytical technology is applied to actual life more
In work, it is achieved that signal collection, process, analyze, the complete sleep management system such as regulation, and lead to
Cross efficient algorithm within the shortest time, be adjusted to suitable ambient condition, provide the user preferably
Sleep is experienced, and improves the quality of life of user；The sleep state of monitoring record user can be realized simultaneously,
Find the sleeping problems that user is potential in time；Can be automatically obtained by intelligent terminal, it is achieved fully automated
Change, it is not necessary to user's Self-operating, meet the demand of all kinds user.
One of ordinary skill in the art will appreciate that in the various methods of above-described embodiment is all or part of
Step can be by program and completes to instruct relevant hardware, and this program can be stored in a calculating
In machine readable storage medium storing program for executing, storage medium may include that read-only storage (ROM, Read Only
Memory), random access memory (RAM, Random Access Memory), disk or CD
Deng.
It addition, the above Intelligence home environment regulator control system being provided the embodiment of the present invention and method are entered
Having gone and be discussed in detail, principle and the embodiment of the present invention are carried out by specific case used herein
Illustrating, the explanation of above example is only intended to help to understand method and the core concept thereof of the present invention；
Simultaneously for one of ordinary skill in the art, according to the thought of the present invention, in detailed description of the invention
And all will change in range of application, in sum, this specification content should not be construed as this
The restriction of invention.
Claims (10)
1. an Intelligence home environment regulator control system, it is characterised in that described system includes:
Monitoring device, for by eeg signal acquisition data, is converted to the analog signal gathered
Data signal, and described data signal is sent to processing terminal；
Processing terminal, is used for receiving described data signal, and processes described data signal, obtain
Obtain regulation and control instruction, and described regulation and control instruction is sent to intelligent household terminal；
Intelligent household terminal, is used for receiving described regulation and control instruction, and carries out ring according to described regulation and control instruction
Border regulates and controls.
2. Intelligence home environment regulator control system as claimed in claim 1, it is characterised in that described prison
Measurement equipment includes:
Acquisition module, for by eeg signal acquisition analog signal；
Signal conversion module, for being converted into data signal by described analog signal；
Wireless transport module, for being sent to described processing terminal by described data signal.
3. Intelligence home environment regulator control system as claimed in claim 2, it is characterised in that described in adopt
Integrate module as electroencephalogramsignal signal acquisition module.
4. Intelligence home environment regulator control system as claimed in claim 1 or 2, it is characterised in that institute
State processing terminal to include:
Wireless receiving module, for receiving the data signal that described monitoring device sends；
Processor, for processing described data signal, it is thus achieved that regulation and control instruction；
Zigbee module, for being sent to described intelligent household terminal by described regulation and control instruction.
5. Intelligence home environment regulator control system as claimed in claim 4, it is characterised in that described place
Reason device includes:
Assessment unit, for carrying out sleep state assessment according to described data signal, it is thus achieved that assessment result；
Computing unit, for calculating described assessment result, and obtains regulation and control instruction.
6. Intelligence home environment regulator control system as claimed in claim 5, it is characterised in that described place
The CPU that reason device selects kernel to be ARM 32.
7. Intelligence home environment regulator control system as claimed in claim 4, it is characterised in that described
Zigbee module uses CC2530 chip.
8. Intelligence home environment regulator control system as claimed in claim 4, it is characterised in that described intelligence
Can household terminal include:
Zigbee module, for receiving the regulation and control instruction that described processing terminal sends；
Regulation and control module, for carrying out environment conditioning according to described regulation and control instruction.
9. an Intelligence home environment regulation and control method, it is characterised in that described method includes:
By eeg signal acquisition data, the analog signal gathered is converted to data signal；
Described data signal is processed, it is thus achieved that regulation and control instruction；
Environment conditioning is carried out according to described regulation and control instruction.
10. Intelligence home environment regulation and control method as claimed in claim 9, it is characterised in that described
Described data signal is processed, it is thus achieved that the step of regulation and control instruction:
Sleep state assessment is carried out, it is thus achieved that assessment result according to described data signal；
Described assessment result is calculated, and obtains regulation and control instruction.
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|---|---|---|---|---|
| CN108089451A (en) * | 2017-01-11 | 2018-05-29 | 浙江师范大学 | A kind of intelligent sleep environmental control system based on real-time neuroelectricity signal processing |
| CN108052012A (en) * | 2017-12-18 | 2018-05-18 | 张馨予 | sleep environment intelligent regulating system and method |
| CN110101365A (en) * | 2018-02-01 | 2019-08-09 | 德国福维克控股公司 | System with vital sign data sensor |
| CN111856958A (en) * | 2020-07-27 | 2020-10-30 | 西北大学 | Intelligent household control system, control method, computer equipment and storage medium |
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Application publication date: 20160817 |