CN109407531A - Intelligent home furnishing control method, device and computer readable storage medium - Google Patents
Intelligent home furnishing control method, device and computer readable storage medium Download PDFInfo
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- CN109407531A CN109407531A CN201811282093.6A CN201811282093A CN109407531A CN 109407531 A CN109407531 A CN 109407531A CN 201811282093 A CN201811282093 A CN 201811282093A CN 109407531 A CN109407531 A CN 109407531A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/011—Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
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- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a kind of intelligent home furnishing control methods, comprising: obtains the electromyography signal of specific privileged site with user, and pre-processes to the electromyography signal；The pretreated electromyography signal is calculated, determines the corresponding Intelligent housing order of the pretreated electromyography signal；Based on the Intelligent housing order, controls corresponding smart home device and execute corresponding operation.The invention also discloses a kind of intelligent home control device and computer readable storage mediums.The present invention realizes the control to home equipment, improves the experience of user by the detection and judgement to electromyography signal.
Description
Technical field
The present invention relates to Smart Home technical field more particularly to a kind of intelligent home furnishing control methods, device and computer
Readable storage medium storing program for executing.
Background technique
Existing smart home device comes generally by the application program being mounted on controlling terminal (such as mobile terminal)
The control to smart home device is realized, when controlling smart home device by control button, it may be desirable to which human body triggers manually should
Control button is therefore, convenient not enough and intelligent.
Summary of the invention
The main purpose of the present invention is to provide a kind of intelligent home furnishing control method, device and computer-readable storage mediums
Matter, it is intended to solve not convenient enough to the control of smart home device in the prior art and intelligentized technical problem.
To achieve the above object, the present invention provides a kind of intelligent home furnishing control method, the intelligent home furnishing control method packet
It includes:
The electromyography signal of privileged site with user is obtained, and the electromyography signal is pre-processed；
The pretreated electromyography signal is calculated, determines the corresponding intelligence of the pretreated electromyography signal
Home control order；
Based on the Intelligent housing order, controls corresponding smart home device and execute corresponding operation.
Optionally, the electromyography signal for obtaining privileged site with user, and the electromyography signal is pre-processed
The step of include:
By the electromyography signal detection device of privileged site with user, the electromyography signal of the privileged site is obtained；
Denoising is carried out to the electromyography signal using Wavelet Algorithm or adaptive filter algorithm.
Optionally, described that the pretreated electromyography signal is calculated, determine the pretreated myoelectricity letter
The step of number corresponding Intelligent housing order includes:
The corresponding active segment characteristic value of the electromyography signal after the denoising is extracted according to preset difference threshold algorithm；
The active segment characteristic value is sent to preset neural network model, so that the neural network model is according to institute
Active segment characteristic value is stated, the muscular states of the privileged site are identified, to obtain the corresponding intelligence of the electromyography signal
Home control order.
Optionally, the active segment characteristic value includes the corresponding active segment myoelectric integral value of the electromyography signal, signal wave
Length, absolute value mean value, average frequency, mean power, energy eigenvalue, root mean square, zero passage points, average amplitude are poor.
Optionally, described that the active segment characteristic value is sent to preset neural network model, for the nerve net
Network model is according to the active segment characteristic value, after the step of identifying to the muscular states of the privileged site, further includes:
If the result of the neural network model feedback is the failure of Intelligent housing command recognition, believe to the myoelectricity
Number detection device sends the prompt of corresponding smart home device control failure.
Optionally, the electromyography signal for obtaining privileged site with user, and the electromyography signal is pre-processed
The step of before, further includes:
The corresponding electromyography signal sample of different Intelligent housing orders is obtained, and is based on the electromyography signal sample pair
The neural network model is trained.
Optionally, the electromyography signal for obtaining privileged site with user, and the electromyography signal is pre-processed
The step of before, further includes:
The exercise data of privileged site with user is obtained, and is based on the exercise data, judges the privileged site
Whether motion state is predetermined movement state；
If so, executing the electromyography signal for obtaining privileged site with user, and the electromyography signal is carried out pre-
The step of processing.
Optionally, the exercise data for obtaining privileged site with user, and it is based on the exercise data, described in judgement
The step of whether motion state of privileged site is predetermined movement state include:
The exercise data of privileged site with user is obtained, and according to the exercise data, determines the movement of privileged site
Frequency and motion amplitude；
Judge whether the motion frequency is in predeterminated frequency range, and judges whether the motion amplitude is in default
Amplitude range；
If the motion frequency is in predeterminated frequency range, and the motion amplitude is in predetermined amplitude range, it is determined that
The motion state of the privileged site belongs to predetermined movement state.
In addition, to achieve the above object, the present invention also provides a kind of intelligent home control device, the Intelligent housing
Device includes: memory, processor and is stored in the smart home control that can be run on the memory and on the processor
Processing procedure sequence, the Intelligent housing program realize intelligent home furnishing control method as described above when being executed by the processor
Step.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
Intelligent housing program is stored on storage medium, the Intelligent housing program realizes institute as above when being executed by processor
The step of intelligent home furnishing control method stated.
A kind of intelligent home furnishing control method proposed by the present invention, the electromyography signal of privileged site first with acquisition user,
And electromyography signal is pre-processed, to calculate pretreated electromyography signal, so that it is determined that its corresponding intelligence
Home control order, and according to Intelligent housing order, it controls corresponding smart home device and executes corresponding operation.This hair
The intelligent home furnishing control method of bright proposition determines the corresponding intelligent family of electromyography signal by the detection and judgement to electromyography signal
Occupy control command, realize the control to home equipment, solve it is not convenient enough to the control of smart home device in the prior art and
Intelligentized technical problem improves the experience of user.
Detailed description of the invention
Fig. 1 is the apparatus structure schematic diagram for the hardware running environment that the embodiment of the present invention is related to；
Fig. 2 is the flow diagram of intelligent home furnishing control method first embodiment of the present invention；
Fig. 3 is the refinement flow diagram of the step S20 in Fig. 2；
Fig. 4 is the flow diagram of intelligent home furnishing control method second embodiment of the present invention；
Fig. 5 is the refinement flow diagram of the step S40 in Fig. 4.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The primary solutions of the embodiment of the present invention are: obtaining the electromyography signal of privileged site with user, and to described
Electromyography signal is pre-processed；The pretreated electromyography signal is calculated, determines the pretreated myoelectricity letter
Number corresponding Intelligent housing order；Based on the Intelligent housing order, controls corresponding smart home device and execute
Corresponding operation.Technical solution through the embodiment of the present invention, solve in the prior art to the control of smart home device not
Enough convenient and intelligentized technical problems.
As shown in Figure 1, Fig. 1 is the apparatus structure schematic diagram for the hardware running environment that the embodiment of the present invention is related to.
The device of that embodiment of the invention can be PC, be also possible to smart phone, tablet computer, portable computer etc. with aobvious
Show the packaged type terminal device of function.
As shown in Figure 1, the apparatus may include: processor 1001, such as CPU, communication bus 1002, user interface
1003, network interface 1004, memory 1005.Wherein, communication bus 1002 is for realizing the connection communication between these components.
User interface 1003 may include display screen (Display), input unit such as keyboard (Keyboard), optional user interface
1003 can also include standard wireline interface and wireless interface.Network interface 1004 optionally may include that the wired of standard connects
Mouth, wireless interface (such as WI-FI interface).Memory 1005 can be high speed RAM memory, be also possible to stable memory
(non-volatile memory), such as magnetic disk storage.Memory 1005 optionally can also be independently of aforementioned processor
1001 storage device.
Optionally, device can also include camera, RF (Radio Frequency, radio frequency) circuit, sensor, audio
Circuit, Wi-Fi module etc..Certainly, device can also configure gyroscope, barometer, hygrometer, thermometer, infrared sensor
Etc. other sensors, details are not described herein.
It will be understood by those skilled in the art that the restriction of the not structure twin installation of apparatus structure shown in Fig. 1, can wrap
It includes than illustrating more or fewer components, perhaps combines certain components or different component layouts.
As shown in Figure 1, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe module, Subscriber Interface Module SIM and Intelligent housing program.
In device shown in Fig. 1, network interface 1004 is mainly used for connecting background server, carries out with background server
Data communication；User interface 1003 is mainly used for connecting client (user terminal), carries out data communication with client；And processor
1001, memory 1005 can be set in intelligent home control device, and the intelligent home control device passes through processor
The Intelligent housing program stored in 1001 calling memories 1005, and execute following operation:
The electromyography signal of privileged site with user is obtained, and the electromyography signal is pre-processed；
The pretreated electromyography signal is calculated, determines the corresponding intelligence of the pretreated electromyography signal
Home control order；
Based on the Intelligent housing order, controls corresponding smart home device and execute corresponding operation.
Further, processor 1001 can call the Intelligent housing program stored in memory 1005, also execute
It operates below:
By the electromyography signal detection device of privileged site with user, the electromyography signal of the privileged site is obtained；
Denoising is carried out to the electromyography signal using Wavelet Algorithm or adaptive filter algorithm.
Further, processor 1001 can call the Intelligent housing program stored in memory 1005, also execute
It operates below:
The corresponding active segment characteristic value of the electromyography signal after the denoising is extracted according to preset difference threshold algorithm；
The active segment characteristic value is sent to preset neural network model, so that the neural network model is according to institute
Active segment characteristic value is stated, the muscular states of the privileged site are identified, to obtain the corresponding intelligence of the electromyography signal
Home control order.
Further, processor 1001 can call the Intelligent housing program stored in memory 1005, also execute
It operates below:
If the result of the neural network model feedback is the failure of Intelligent housing command recognition, believe to the myoelectricity
Number detection device sends the prompt of corresponding smart home device control failure.
Further, processor 1001 can call the Intelligent housing program stored in memory 1005, also execute
It operates below:
The corresponding electromyography signal sample of different Intelligent housing orders is obtained, and is based on the electromyography signal sample pair
The neural network model is trained.
Further, processor 1001 can call the Intelligent housing program stored in memory 1005, also execute
It operates below:
The exercise data of privileged site with user is obtained, and is based on the exercise data, judges the privileged site
Whether motion state is predetermined movement state；
If so, executing the electromyography signal for obtaining privileged site with user, and the electromyography signal is carried out pre-
The step of processing.
Further, processor 1001 can call the Intelligent housing program stored in memory 1005, also execute
It operates below:
The exercise data of privileged site with user is obtained, and according to the exercise data, determines the movement of privileged site
Frequency and motion amplitude；
Judge whether the motion frequency is in predeterminated frequency range, and judges whether the motion amplitude is in default
Amplitude range；
If the motion frequency is in predeterminated frequency range, and the motion amplitude is in predetermined amplitude range, it is determined that
The motion state of the privileged site belongs to predetermined movement state.
Scheme provided in this embodiment, first acquisition user with privileged site electromyography signal, and to electromyography signal into
Row pretreatment, to calculate pretreated electromyography signal, so that it is determined that its corresponding Intelligent housing order, and
According to Intelligent housing order, controls corresponding smart home device and execute corresponding operation.Intelligence man proposed by the present invention
Control method is occupied, by the detection and judgement to electromyography signal, determines the corresponding Intelligent housing order of electromyography signal, is realized
Control to home equipment solves not convenient enough to the control of smart home device in the prior art and intelligentized technology and asks
Topic, improves the experience of user.
Based on above-mentioned hardware configuration, intelligent home furnishing control method embodiment of the present invention is proposed.
Referring to Fig. 2, Fig. 2 is the flow diagram of intelligent home furnishing control method first embodiment of the present invention, in the embodiment
In, which comprises
Step S10, obtains the electromyography signal of privileged site with user, and pre-processes to the electromyography signal；
Step S20 calculates the pretreated electromyography signal, determines the pretreated electromyography signal pair
The Intelligent housing order answered；
Step S30 is based on the Intelligent housing order, controls corresponding smart home device and executes corresponding behaviour
Make.
In the present embodiment, electromyography signal detection device includes surface electrode, and surface electrode is for acquiring privileged site
Electromyography signal, surface electrode can be dry electrode, textile electrode, tiny array electrode etc., and surface electrode can integrate can in intelligence
In wearable device, such as Intelligent wrister, ankle guard.Surface electrode is by way of wireless telecommunications or wire communication by collected flesh
Electric signal transmission is into the emg signal processor of electromyography signal detection device.
Firstly, the surface electrode by privileged site with user acquires corresponding electromyography signal, emg signal processor
After receiving electromyography signal, electromyography signal is pre-processed first, specifically, in the present embodiment, pretreatment refers to use
Wavelet Algorithm or adaptive filter algorithm carry out denoising to electromyography signal.In the present embodiment, low pass can be used
Or band logical (20-450Hz) filter filters out 0-20Hz low-frequency noise, removes 50Hz using Wavelet Denoising Method or adaptive filter algorithm
Left and right Hz noise and other high-frequency noises, the electromyography signal after obtaining denoising.
Further, as shown in figure 3, the step S20 is specifically included:
Step S21 extracts the corresponding active segment of electromyography signal after the denoising according to preset difference threshold algorithm
Characteristic value；
The active segment characteristic value is sent to preset neural network model, for the neural network mould by step S22
Type identifies the muscular states of the privileged site according to the active segment characteristic value, to obtain the electromyography signal pair
The Intelligent housing order answered.
In the present embodiment, the corresponding active segment characteristic value of electromyography signal after denoising is extracted, it is necessary first to
Determine the corresponding electromyography signal of active segment.For example, the electromyography signal of user to be measured left leg tibialis anterior in normal stand is acquired,
Using the electromyography signal as threshold value (threshold value for judging muscle activity starting point).When the cadence value of user to be measured is in preset range
When interior, obtain the electromyography signal that myoelectric signal collection apparatus is acquired in privileged site and be greater than the same threshold value comparison of the electromyography signal
The part of threshold value is then active segment electromyography signal.With the corresponding myoelectric integral value of active segment electromyography signal, signal wave length, absolutely
It is worth mean value, average frequency, mean power etc. and is used as active segment characteristic value, this is not restricted, reduces with specific reference to needs or expands
Fill active segment characteristic value.
Further, the corresponding active segment feature of electromyography signal after denoising is extracted according to preset difference threshold algorithm
Value, specifically, active segment myoelectric integral value to seek formula as follows:
Wherein, N is the data length of myoelectric integral value, and xiWhat is indicated is each small after entire data are divided into N parts
Part.
Myoelectric integral value (IEMG) is a kind of simple myoelectricity temporal signatures amount, is usually used in EMG (electromyography signal) active segment
In the pretreatment of detection and some clinical applications.IEMG be defined as the absolute value of electromyography signal whithin a period of time and:
Wherein EMGiElectromyography signal is represented in the value of moment i, the length of N representation signal section.
Absolute value mean value (MAV) is the absolute value average value of electromyography signal amplitude whithin a period of time:
Wherein EMGiElectromyography signal is represented in the value of moment i, the length of N representation signal section.
Energy eigenvalue includes squared magnitude and (SSI), mean-square value (VAR):
VAR, wherein EMGiElectromyography signal is represented in the value of moment i, the length of N representation signal section.
Root mean square (RMS) is that electromyography signal analyzes common temporal signatures amount, is defined as follows:
Wherein EMGiElectromyography signal is represented in the value of moment i, the length of N representation signal section.
Signal wave length (WL) and average difference in magnitude (AAC), WL is the characteristic quantity for describing electromyography signal complexity, definition
For the total length of signal waveform whithin a period of time, calculation formula is as follows:
Wherein EMGiElectromyography signal is represented in the value of moment i, the length of N representation signal section
Degree.
AAC, the severe degree of characterization signal amplitude variation, from calculation formula, AAC is being averaged for signal wave length
Value, i.e. AAC=WL/N.
Zero passage points (ZC) are representation method of the characteristic quantity of description electromyography signal frequency information in time domain.ZC is signal
Number of the amplitude through zero-crossing values generally sets a threshold when calculating to eliminate interference caused by value signal by a narrow margin or noise
Value, when zero point two sides signal difference is greater than threshold value, which is just considered effective.
Further, after extracting corresponding active segment characteristic value, preset neural network model is sent it to, so as to root
Muscular states are identified according to active segment characteristic value, determine its corresponding Intelligent housing order.Specifically, the step
Before S10, further includes:
The corresponding electromyography signal sample of different Intelligent housing orders is obtained, and is based on the electromyography signal sample pair
The neural network model is trained.
In the present embodiment, the electromyography signal sample of the privileged site of several users can be first passed through in advance to neural network mould
Type is trained.For example, acquiring electromyography signal when several control air conditioners are opened, the corresponding flesh for opening air conditioner is obtained
Electric signal sample, and acquisition it is several control television boot-strap when electromyography signal, obtain the myoelectricity of corresponding television boot-strap
Sample of signal further includes the corresponding electromyography signal sample of other Intelligent housing modes, does not repeat herein certainly.It is logical
The electromyography signal sample for crossing the Intelligent housing several different instruction of acquisition, is trained neural network model, makes
The neural network model that must be trained can recognize that currently detected electromyography signal is which Intelligent housing belonged to
Order, so that controlling corresponding smart home device executes corresponding operation.
Further, it according to Intelligent housing order, controls corresponding smart home device and executes corresponding operation.Example
Such as, if the corresponding Intelligent housing order of the electromyography signal is air conditioner open command, the air conditioner controlled in room is opened
It opens；If the corresponding Intelligent housing order of the electromyography signal is television boot-strap instruction, corresponding television boot-strap is controlled；
If the corresponding Intelligent housing order of the electromyography signal is intelligent window out code, the intelligent window controlled in room is closed
It closes.
In the present embodiment, the electromyography signal of privileged site with user is obtained first, and electromyography signal is located in advance
Reason, to calculate pretreated electromyography signal, so that it is determined that its corresponding Intelligent housing order, and according to intelligence
Energy home control order controls corresponding smart home device and executes corresponding operation.Intelligent housing proposed by the present invention
Method determines the corresponding Intelligent housing order of electromyography signal by the detection and judgement to electromyography signal, realizes to household
The control of equipment solves not convenient enough to the control of smart home device in the prior art and intelligentized technical problem, improves
The experience of user.
Further, referring to Fig. 4, based on the above embodiment, intelligent home furnishing control method second embodiment of the present invention is proposed,
In the present embodiment, before the step S10 further include:
Step S40 obtains the exercise data of privileged site with user, and is based on the exercise data, judges the spy
Whether the motion state for determining position is predetermined movement state；If so, thening follow the steps S10.
In this implementation, before acquiring corresponding electromyography signal by surface electrode, it is also necessary to the movement current to user
State is judged whether confirmation user is currently in predetermined movement state, to improve the accuracy of electromyographic signal collection.Tool
Body, it is to be judged by obtaining the exercise data of privileged site, exercise data includes at least motion frequency, motion amplitude etc.
One of information is a variety of, as shown in figure 5, the step S40 is specifically included:
Step S41 obtains the exercise data of privileged site with user, and according to the exercise data, determines particular portion
The motion frequency and motion amplitude of position；
Step S42, judges whether the motion frequency is in predeterminated frequency range, and whether judges the motion amplitude
In predetermined amplitude range；
Step S43, if the motion frequency is in predeterminated frequency range, and the motion amplitude is in predetermined amplitude model
It encloses, it is determined that the motion state of the privileged site belongs to predetermined movement state.
In the present embodiment, user wears electromyographic signal collection terminal, and acquisition terminal is normally at that area is larger, shrinks
At more apparent muscle, in the present embodiment, to explain by taking lower extremity movement as an example, specifically, the sura at shank can be
Flesh or tibialis anterior.
The motion frequency and motion amplitude of privileged site are obtained first, judge whether active user is in default with this
Motion state, in this example, it is assumed that state when user is walked using 50 to 70 steps/minute is predetermined movement state, due to
For people in Level Walking movement, cyclically-varying can be presented in vertical and two acceleration that advance.In the movement that foot is received in walking, by
In center of gravity, single foot contacts to earth upwards, and vertical direction acceleration is continued later forward, decentralization two in positive increased trend
Foot bottoms out, and acceleration is opposite.Horizontal acceleration reduces when receiving foot, the increase when taking a step.The vertical and acceleration generated that advances
With a time substantially sine curve, and certain point have a peak value.Wherein, the acceleration change of vertical direction is maximum,
Detection calculating and acceleration threshold values decision are carried out by the peak value to track, the step number of user movement can be calculated in real time.
It further, include 3-axis acceleration sensor in electromyography signal detection device, according to 3-axis acceleration sensor
The collected acceleration information in preset duration, electromyography signal detection device are analyzed acceleration information, are tested
The step number of people, then divided by acquisition time, (i.e. preset duration in the present embodiment, can according to actual needs be carried out preset duration
Setting, such as be set as 3 minutes), obtain tested person step number X per minute.It is then detected that whether X is in 50 to 70 this area
Between, if X is in 50 to 70 this section, the motion state of privileged site belongs to predetermined movement state.
In this example, whether by obtaining the exercise data of privileged site, judging user currently is predetermined movement state,
So as to the electromyography signal of the acquisition privileged site after determining user currently to be predetermined movement state, subsequent electromyography signal meter is improved
It calculates and Intelligent housing instructs determining accuracy.
In addition, the embodiment of the present invention also proposes a kind of computer readable storage medium, the computer readable storage medium
On be stored with Intelligent housing program, following operation is realized when the Intelligent housing program is executed by processor:
The electromyography signal of privileged site with user is obtained, and the electromyography signal is pre-processed；
The pretreated electromyography signal is calculated, determines the corresponding intelligence of the pretreated electromyography signal
Home control order；
Based on the Intelligent housing order, controls corresponding smart home device and execute corresponding operation.
Further, following operation is also realized when the Intelligent housing program is executed by processor:
By the electromyography signal detection device of privileged site with user, the electromyography signal of the privileged site is obtained；
Denoising is carried out to the electromyography signal using Wavelet Algorithm or adaptive filter algorithm.
Further, following operation is also realized when the Intelligent housing program is executed by processor:
The corresponding active segment characteristic value of the electromyography signal after the denoising is extracted according to preset difference threshold algorithm；
The active segment characteristic value is sent to preset neural network model, so that the neural network model is according to institute
Active segment characteristic value is stated, the muscular states of the privileged site are identified, to obtain the corresponding intelligence of the electromyography signal
Home control order.
Further, following operation is also realized when the Intelligent housing program is executed by processor:
If the result of the neural network model feedback is the failure of Intelligent housing command recognition, believe to the myoelectricity
Number detection device sends the prompt of corresponding smart home device control failure.
Further, following operation is also realized when the Intelligent housing program is executed by processor:
The corresponding electromyography signal sample of different Intelligent housing orders is obtained, and is based on the electromyography signal sample pair
The neural network model is trained.
Further, following operation is also realized when the Intelligent housing program is executed by processor:
The exercise data of privileged site with user is obtained, and is based on the exercise data, judges the privileged site
Whether motion state is predetermined movement state；
If so, executing the electromyography signal for obtaining privileged site with user, and the electromyography signal is carried out pre-
The step of processing.
Further, following operation is also realized when the Intelligent housing program is executed by processor:
The exercise data of privileged site with user is obtained, and according to the exercise data, determines the movement of privileged site
Frequency and motion amplitude；
Judge whether the motion frequency is in predeterminated frequency range, and judges whether the motion amplitude is in default
Amplitude range；
If the motion frequency is in predeterminated frequency range, and the motion amplitude is in predetermined amplitude range, it is determined that
The motion state of the privileged site belongs to predetermined movement state.
Scheme provided in this embodiment, first acquisition user with privileged site electromyography signal, and to electromyography signal into
Row pretreatment, to calculate pretreated electromyography signal, so that it is determined that its corresponding Intelligent housing order, and
According to Intelligent housing order, controls corresponding smart home device and execute corresponding operation.Intelligence man proposed by the present invention
Control method is occupied, by the detection and judgement to electromyography signal, determines the corresponding Intelligent housing order of electromyography signal, is realized
Control to home equipment improves the experience of user.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of intelligent home furnishing control method, which is characterized in that the intelligent home furnishing control method the following steps are included:
The electromyography signal of privileged site with user is obtained, and the electromyography signal is pre-processed；
The pretreated electromyography signal is calculated, determines the corresponding smart home of the pretreated electromyography signal
Control command；
Based on the Intelligent housing order, controls corresponding smart home device and execute corresponding operation.
2. intelligent home furnishing control method as described in claim 1, which is characterized in that described to obtain privileged site with user
Electromyography signal, and pretreated step is carried out to the electromyography signal and includes:
By the electromyography signal detection device of privileged site with user, the electromyography signal of the privileged site is obtained；
Denoising is carried out to the electromyography signal using Wavelet Algorithm or adaptive filter algorithm.
3. intelligent home furnishing control method as claimed in claim 2, which is characterized in that described to believe the pretreated myoelectricity
The step of number being calculated, determining the pretreated electromyography signal corresponding Intelligent housing order include:
The corresponding active segment characteristic value of the electromyography signal after the denoising is extracted according to preset difference threshold algorithm；
The active segment characteristic value is sent to preset neural network model, so that the neural network model is according to the work
Dynamic section characteristic value, identifies the muscular states of the privileged site, to obtain the corresponding smart home of the electromyography signal
Control command.
4. intelligent home furnishing control method as claimed in claim 3, which is characterized in that the active segment characteristic value includes the flesh
The corresponding active segment myoelectric integral value of electric signal, signal wave length, absolute value mean value, average frequency, mean power, energy feature
Value, root mean square, zero passage points, average amplitude are poor.
5. intelligent home furnishing control method as claimed in claim 4, which is characterized in that described to send the active segment characteristic value
To preset neural network model, so that the neural network model is according to the active segment characteristic value, to the privileged site
Muscular states the step of being identified after, further includes:
If the result of the neural network model feedback is the failure of Intelligent housing command recognition, examined to the electromyography signal
Survey the prompt that device sends corresponding smart home device control failure.
6. intelligent home furnishing control method as claimed in claim 5, which is characterized in that described to obtain privileged site with user
Electromyography signal, and before carrying out pretreated step to the electromyography signal, further includes:
The corresponding electromyography signal sample of different Intelligent housing orders is obtained, and based on the electromyography signal sample to described
Neural network model is trained.
7. intelligent home furnishing control method as claimed in claim 6, which is characterized in that described to obtain privileged site with user
Electromyography signal, and before carrying out pretreated step to the electromyography signal, further includes:
The exercise data of privileged site with user is obtained, and is based on the exercise data, judges the movement of the privileged site
Whether state is predetermined movement state；
If so, executing the electromyography signal for obtaining privileged site with user, and the electromyography signal is pre-processed
The step of.
8. intelligent home furnishing control method as claimed in claim 7, which is characterized in that described to obtain privileged site with user
Exercise data, and be based on the exercise data, judge the privileged site motion state whether be predetermined movement state step
Suddenly include:
The exercise data of privileged site with user is obtained, and according to the exercise data, determines the motion frequency of privileged site
And motion amplitude；
Judge whether the motion frequency is in predeterminated frequency range, and judges whether the motion amplitude is in predetermined amplitude
Range；
If the motion frequency is in predeterminated frequency range, and the motion amplitude is in predetermined amplitude range, it is determined that described
The motion state of privileged site belongs to predetermined movement state.
9. a kind of intelligent home control device, which is characterized in that the intelligent home control device includes: memory, processor
And it is stored in the Intelligent housing program that can be run on the memory and on the processor, the Intelligent housing
It realizes when program is executed by the processor such as the step of intelligent home furnishing control method described in any item of the claim 1 to 8.
10. a kind of computer readable storage medium, which is characterized in that be stored with intelligent family on the computer readable storage medium
Control program is occupied, is realized when the Intelligent housing program is executed by processor as described in any item of the claim 1 to 8
The step of intelligent home furnishing control method.
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