CN109871121A - A kind of massage armchair comfort level automatic regulating system and adjusting method based on brain-computer interface - Google Patents
A kind of massage armchair comfort level automatic regulating system and adjusting method based on brain-computer interface Download PDFInfo
- Publication number
- CN109871121A CN109871121A CN201910004126.9A CN201910004126A CN109871121A CN 109871121 A CN109871121 A CN 109871121A CN 201910004126 A CN201910004126 A CN 201910004126A CN 109871121 A CN109871121 A CN 109871121A
- Authority
- CN
- China
- Prior art keywords
- brain
- massage
- eeg signals
- user
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses a kind of massage armchair comfort level automatic regulating system and adjusting method based on brain-computer interface, the system include brain wave acquisition module, brain electric treatment module, brain electric control module and massage armchair.Wherein, brain wave acquisition module is for acquiring the EEG signals that user generates under current massage intensity；Brain electric treatment module receives current EEG signals and handles EEG signals, the personal data stored in treated eeg data and system database are compared, analyze current eeg data, obtain the comfort level under massage intensity, then regulating control command required for judging issues instruction；Brain electric control module receives control instruction, and massage intensity is adjusted according to control instruction, until user's EEG signals feedback is comfortable.Intelligence degree of the present invention is higher, makes one physically and mentally to put into massage；Standard is controlled as massage armchair comfort level using personal system database, humanization level is higher.
Description
Technical field
The present invention relates to brain computer interface application technical field, in particular to a kind of massage armchair comfort level based on brain-computer interface
Automatic regulating system and adjusting method.
Background technique
Currently, China's massage armchair control mode is many kinds of, including hand push button controls massage armchair, passes through App manipulation, intelligence
Energy voice dialogue control massage armchair etc..Hand push button control is to need to manually adjust button according to the comfort conditions of oneself；App behaviour
Control applies App with the corresponding brand of smart phone downloading, so that it may replace remote controler by mobile phone to manipulate massage armchair and carry out
Comfort level manually adjusts, can be with the different types of automatic massage program of remote download for users to use；Intelligent voice dialog, can be with
Phonetic order manipulation massage armchair directly is assigned to massage armchair and carries out comfort tuning.Currently, above-mentioned massage armchair control mode
Deficiency is that people is needed to carry out manual or sound control according to massage comfort level, can not be adjusted in real time according to comfort conditions.With
The high speed development of brain-computer interface can be acquired by brain-computer interface technology, analyze the brain electricity that brain feeds back massage armchair comfort level
Signal issues the identifiable command adapted thereto of control system, realization is pressed by carrying out characteristic parameter extraction and classification to EEG signals
The real-time automatic control for chair comfort level of rubbing.
Summary of the invention
Goal of the invention: in view of the above problems, the present invention proposes that a kind of massage armchair comfort level based on brain-computer interface is adjusted automatically
Section system and adjusting method reflect the EEG signals of body massaging comfort level by collection analysis, to the real-time comfort level shape of user
State is judged, realizes the control to massage armchair, and intelligence degree is high, more can fully meet the needs of users.It is based on
The massage armchair comfort level automatic regulating system of brain-computer interface will greatly enrich the control mode of massage armchair, make one whole-heartedly
Enjoy massage.
Technical solution: to achieve the purpose of the present invention, the technical scheme adopted by the invention is that: one kind being based on brain-computer interface
Massage armchair comfort level automatic regulating system, including brain wave acquisition module, brain electric treatment module, brain electric control module and massage
Chair.Brain electric treatment module and brain wave acquisition module wireless communication connect, and brain electric treatment module receives the acquisition of brain wave acquisition module
EEG signals；Brain electric control module is connect with brain electric treatment module by wire communication, and brain electric control module receives brain electric treatment
The control instruction that module is sent.The first control unit of control circuit, the second control unit, third control in brain electric control module
Unit is connected with the neck massaging device of massage armchair, waist masaging device and leg massager respectively, controls the neck of massage armchair
Portion, waist and leg massager each motor, realize brain-computer interface control massage armchair.
The brain wave acquisition module uses brain wave acquisition cap, and microprocessing unit is integrated on brain wave acquisition cap.The present invention adopts
Dry electrode brain wave acquisition cap, do number of electrodes be 11, respectively C3, CZ, C4, CP1, CP2, P3, PZ, P4, M1,
M2,GND.Wherein, C3, CZ, C4, CP1, CP2, P3, PZ, P4 are acquisition electrode, acquire user's quader area, and M1, M2 are ginseng
Electrode is examined, GND is grounding electrode.Dry electrode can acquire original EEG signals on brain wave acquisition cap, the acquisition of brain wave acquisition module
It is EEG signals of the user based on haptic stimulus, that is, acquires EEG signals of the user based on current massage intensity.
The brain wave acquisition cap gets rid of the dependence to conducting medium and uses wireless communication technique, has using letter
Just, not vulnerable to environmental constraints the characteristics of.Flexible connection is used between each electrode of brain wave acquisition cap, can be applicable in well
The head shape of different users, and can dress for a long time and without sense of discomfort.
Further, microprocessing unit include STM32C8T6 processor chips, pre-amplification circuit, bandwidth-limited circuit,
50Hz pinches wave circuit, main amplifying circuit, A/D conversion circuit and output circuit.The pre-amplification circuit is mentioned from noise background
Take EEG signals；Bandwidth-limited circuit passes through the electrocardiosignal of frequency 0.05-100Hz；50Hz pinches wave circuit for filtering
Fall 50Hz Hz noise；Main amplifying circuit is amplified the EEG signals of preposition amplification again；A/D conversion circuit adopts system
The analog signal collected is converted to digital signal；Output circuit exports the digital signal after conversion.It, can by foregoing circuit
The EEG signals for accurately extracting user, for brain electric treatment analyze and accurately control massage armchair adjusting massage intensity to relax
It sets right position.
The brain electric treatment module uses computer, is wirelessly connected with brain wave acquisition module, passes through the Matlab of computer
Software is programmed calculation process, obtains brain electricity analytical software, which contains three processing steps: pretreatment, feature mention
It takes and tagsort.The pretreatment of EEG signals, that is, filter, including carries out time domain, frequency domain filtering to signal, to reduce in signal
Artefact and interference, reduce influence of the noise to EEG signals, improve EEG signals relevant to subject's thinking activities task
Accounting, increase follow-up data processing analysis accuracy；Feature extraction is BCI (Brain-computer Interface) skill
The part of most critical in art refers to and carries out all kinds of time domains, frequency-domain analysis to by pretreated eeg data, such as Fourier in short-term
Transformation, wavelet package transforms, the feature extraction that can reflect the true thinking activities of user's brain in original EEG signals is come out,
So that classifier is learnt and is classified.Further, the feature of classification is conducive in addition to extracting, the process of feature extraction also needs pair
The feature for being conducive to classification extracted carries out Data Dimensionality Reduction, to reduce the dimension and data operation quantity of feature vector, meets system reality
The requirement of when property；Tagsort is the building done analysis to the feature extracted and carry out classifier, and reusing classifier will be different
The brain electrical feature of classification is classified, and the EEG signals under different massage intensities are distinguished, are divided to EEG signals
When class, need to select suitable classifier according to the EEG signals of different characteristics.The classifier that the present invention uses be support to
Amount machine (Support Vector Machine, SVM).
In the brain electric treatment stage, computer can carry out EEG signals decomposition, such as by isolated component decomposition, wavelet transformation and
Fourier transformation obtains n frequency band, and carries out spectrum analysis respectively and obtain n spectrum signature, then carries out feature extraction, and
The data parameters of the characteristic parameter extracted and database are compared and analyzed, control instruction is issued.If user's EEG signals
Uncomfortable state is fed back, the massage intensity of massage seat is adjusted, the real-time eeg data of user is acquired again, repeats the above process,
Until User Status is comfortable.Wherein, the feature extracted can also feed back EEG signals decomposition step and carry out characteristic optimization.
The brain electric control module includes control circuit, motor and single-chip microcontroller, with brain electric treatment module wired connection.Control
Circuit processed is divided into following three parts: driving circuit for electromagnetic valve, for controlling the inflation/deflation of massage armchair air bag；Motor-drive circuit,
For controlling kneading, beating, the motor of push rod；Position detecting circuit, it is wide for demarcating massage chair movement walking position, kneading
Degree makes monolithic function preferably control motor rotation, realizes that massage functions, the machine core use 3D machine core.Wherein, massage armchair
Massage intensity is determined that massage intensity can be divided into 1~N grades, and intensity is sequentially increased by motor speed.
After brain electric control module receives control instruction, single-chip microcontroller executes control program, and output control signal controls all kinds of electricity
Machine acts the executing agency of massage armchair, to realize the massage to neck, waist, leg.Brain electric control module of the invention
Using PIC16F74 single-chip microcontroller.
Brain wave acquisition module of the invention, brain electric treatment module, brain electric control module all have corresponding independently-powered electricity
Source.Wherein, the power supply of brain wave acquisition module can be 9V direct current, brain electric treatment module, brain electric control module power supply be 19V
Direct current, can be obtained by being rectified, being filtered to 220V alternating current, be depressured.The power supply of massage machine is 220V
Alternating current.
The present invention will preset personal system database, and personal system database is that a kind of human body based on brain-computer interface is easypro
Appropriate parameter database, wherein personal data are the brains based on brain wave acquisition module acquisition user when for the first time using massage armchair
Electric signal, eeg data parameter when by the different comfort level states of brain electric treatment resume module.
A kind of massage armchair comfort level automatic regulating system adjusting method based on brain-computer interface, includes the following steps:
S1: default personal system eeg data library.When user uses massage armchair automatic regulating system for the first time, pressed for difference
It rubs intensity, needs to carry out systemic presupposition: for every level-one massage intensity, extracting EEG signals of the user under massage state, really
Fixed corresponding brain electrical feature parameter, obtains the comfortable section of EEG signals parameter.The eeg data library for establishing individual subscriber, is made with this
For the control standard of massage armchair comfort level.
Step S1 includes:
S11: massage armchair comfort level automatic regulating system, first open system each section power supply, Yong Hupei are used for the first time
Brain wave acquisition cap is worn, brain wave acquisition cap size can finely tune, and user can voluntarily be adjusted to most comfortable state.
S12: the brain electricity analytical software of starting brain electric treatment module, user use the massage armchair comfort level to automatically adjust for the first time
System, brain electricity analytical software will carry out initialization access customer individual database of going forward side by side and establishes interface.
S13: for user when receiving massage armchair massage for the first time, pre-set user comfort conditions range of motor speeds is R1~R2,
The motor speed of massage armchair is ascending, and massage intensity is successively enhanced to N grades by 1 grade, and individual database records often respectively at this time
The EEG signals parameter of grade massage intensity, this parameter are EEG Processing, the sorted characteristic parameter of feature extraction, and record is used
EEG signals parameter section the boundary value P1 and P2 at family, P1~P2 is the comfortable section of EEG signals parameter, if massaging currently
User's EEG signals parameter is within the scope of P1~P2 under intensity, then illustrates that user is currently at comfort conditions.
S2: personal system eeg data library establish after, user should first turn on brain wave acquisition module, brain electric treatment module and
The power switch of brain electric control module is in standby brain wave acquisition module, brain electric treatment module and brain electric control module.
S3: user wears brain wave acquisition cap, and the dry electrode on brain wave acquisition cap acquires original EEG signals.
S4: original EEG signals handle to obtain straight for computer by the microprocessing unit being integrated on brain wave acquisition cap
Connect the EEG signals of processing.
S5: EEG signals obtained in S4 are transferred to brain electric treatment module by wireless communication, pass through brain electric treatment mould
The brain electricity analytical software of block analyzes collected EEG signals, and to brain electric control module issue can identified control instruction into
Row massage intensity is adjusted, the EEG signals that then collection analysis user generates again, until user's EEG signals parameter is current
The comfortable section of EEG signals parameter under massage intensity in default individual database.
Step S5 includes:
S51: user is sitting on massage armchair and default massage intensity, current massage intensity form haptic stimulus to user,
And evoked brain potential signal.
S52: corresponding EEG signals are generated based on haptic stimulus user, brain wave acquisition cap acquires user's EEG signals and carries out
Preliminary amplification, filtering processing, and by the EEG signals wireless communication transmissions of preliminary treatment into brain electric treatment module.
S53: the brain electricity analytical software of brain electric treatment module pre-processes the EEG signals received, feature extraction and
Tagsort.The brain electric treatment module carries out time and frequency domain analysis to EEG signals, extracts characteristic parameter and classifies.
S54: by the date comprision in the eeg data and database that are obtained after feature extraction and tagsort, analysis
The eeg data of current massage intensity, if the EEG signals parameter of user is not within the scope of P1~P2 under current massage intensity,
Predetermined time hindbrain electric treatment module sends corresponding control instruction to brain electric control module, and brain electric control module receives brain electricity
The control instruction of processing module transmission simultaneously executes the instruction adjusting massage intensity, the first control of control circuit in brain electric control module
After unit processed receives instruction, control neck massaging device executes massage；After second control unit receives instruction, control waist massage
Device executes massage；After third control unit receives instruction, control leg massager executes massage.
S55: repeating step S52 to S54, until in eeg data and database that feature extraction and tagsort obtain
After data analysis, the EEG signals parameter of user is within the scope of P1~P2 under current massage intensity, is then massaged currently
Massage is executed under mode.
The utility model has the advantages that compared with prior art, technical solution of the present invention has technical effect beneficial below: the present invention
It can reflect the real-time EEG signals of user, and massage intensity automatically adjusted according to comfort level state, it is strong without artificial control massage
Degree, intelligence degree is higher, makes one physically and mentally to put into massage.Present invention employs personal system databases, in this, as each
The degree of control standard of user's massage armchair comfort level, humanization level are higher.
Detailed description of the invention
Fig. 1 is module block diagram of the invention；
Fig. 2 is application flow block diagram of the invention.
Specific embodiment
Further description of the technical solution of the present invention with reference to the accompanying drawings and examples.
A kind of massage armchair comfort level automatic regulating system based on brain-computer interface of the present invention, as shown in Figure 1, including
Brain wave acquisition module, brain electric treatment module, brain electric control module and massage armchair.Brain electric treatment module and brain wave acquisition module are wireless
Communication connection, brain electric treatment module receive the EEG signals of brain wave acquisition module acquisition；Brain electric control module and brain electric treatment mould
Block is connected by wire communication, and brain electric control module receives the control instruction that brain electric treatment module is sent.In brain electric control module
The first control unit of control circuit, the second control unit, third control unit respectively with the neck massaging device of massage armchair, waist
Portion's massage machine is connected with leg massager, controls the neck of massage armchair, each motor of waist and leg massager, real
Existing brain-computer interface controls massage armchair.
The brain wave acquisition module uses brain wave acquisition cap, and microprocessing unit is integrated on brain wave acquisition cap.The present invention adopts
Dry electrode brain wave acquisition cap, do number of electrodes be 11, respectively C3, CZ, C4, CP1, CP2, P3, PZ, P4, M1,
M2,GND.Wherein, C3, CZ, C4, CP1, CP2, P3, PZ, P4 are acquisition electrode, acquire user's quader area, and M1, M2 are ginseng
Electrode is examined, GND is grounding electrode.Dry electrode can acquire original EEG signals on brain wave acquisition cap, when user is in massage intensity
When lower, the acquisition of brain wave acquisition module is EEG signals of the user based on haptic stimulus, i.e., it is strong to be based on current massage by acquisition user
Spend the EEG signals of comfort level.
The brain wave acquisition cap gets rid of the dependence to conducting medium and uses wireless communication technique, has using letter
Just, not vulnerable to environmental constraints the characteristics of.Flexible connection is used between each electrode of brain wave acquisition cap, can be applicable in well
The head shape of different users, and can dress for a long time and without sense of discomfort.
Further, microprocessing unit include STM32C8T6 processor chips, pre-amplification circuit, bandwidth-limited circuit,
50Hz pinches wave circuit, main amplifying circuit, A/D conversion circuit and output circuit.The pre-amplification circuit is mentioned from noise background
Take EEG signals；Bandwidth-limited circuit passes through the electrocardiosignal of frequency 0.05-100Hz；50Hz pinches wave circuit for filtering
Fall 50Hz Hz noise；Main amplifying circuit is amplified the EEG signals of preposition amplification again；A/D conversion circuit adopts system
The analog signal collected is converted to digital signal；Output circuit exports the digital signal after conversion.It, can by foregoing circuit
The EEG signals for accurately extracting user, for brain electric treatment analyze and accurately control massage armchair adjusting massage intensity to relax
It sets right position.
The brain electric treatment module uses computer, is wirelessly connected with brain wave acquisition module, passes through the Matlab of computer
Software is programmed calculation process, obtains brain electricity analytical software, which contains three processing steps: pretreatment, feature mention
It takes and tagsort.The pretreatment of EEG signals, that is, filter, including carries out time domain, frequency domain filtering to signal, to reduce in signal
Artefact and interference, reduce influence of the noise to EEG signals, improve EEG signals relevant to subject's thinking activities task
Accounting, increase follow-up data processing analysis accuracy；Feature extraction is BCI (Brain-computer Interface) skill
The part of most critical in art refers to and carries out all kinds of time domains, frequency-domain analysis to by pretreated eeg data, such as Fourier in short-term
Transformation, wavelet package transforms, the feature extraction that can reflect the true thinking activities of user's brain in original EEG signals is come out,
So that classifier is learnt and is classified.Further, the feature of classification is conducive in addition to extracting, the process of feature extraction also needs pair
The feature for being conducive to classification extracted carries out Data Dimensionality Reduction, to reduce the dimension and data operation quantity of feature vector, meets system reality
The requirement of when property；Tagsort is the building done analysis to the feature extracted and carry out classifier, and reusing classifier will be different
The brain electrical feature of classification is classified, and the EEG signals under different massage intensities are distinguished, are divided to EEG signals
When class, need to select suitable classifier according to the EEG signals of different characteristics.The classifier that the present invention uses be support to
Amount machine (Support Vector Machine, SVM).
In the brain electric treatment stage, computer can carry out EEG signals decomposition, such as by isolated component decomposition, wavelet transformation and
Fourier transformation obtains n frequency band, and carries out spectrum analysis respectively and obtain n spectrum signature, then carries out feature extraction, and
The data parameters of the characteristic parameter extracted and database are compared and analyzed, control instruction is issued.If user's EEG signals
Uncomfortable state is fed back, the massage intensity of massage seat is adjusted, the real-time eeg data of user is acquired again, repeats the above process,
Until User Status is comfortable.Wherein, the feature extracted can also feed back EEG signals decomposition step and carry out characteristic optimization.
The brain electric control module includes control circuit, motor and single-chip microcontroller, with brain electric treatment module wired connection.Control
Circuit processed is divided into following three parts: driving circuit for electromagnetic valve, for controlling the inflation/deflation of massage armchair air bag；Motor-drive circuit,
For controlling kneading, beating, the motor of push rod；Position detecting circuit, it is wide for demarcating massage chair movement walking position, kneading
Degree makes monolithic function preferably control motor rotation, realizes that massage functions, the machine core use 3D machine core.Wherein, massage armchair
Massage intensity is determined that massage intensity can be divided into 1~N grades, and intensity is sequentially increased by motor speed.
After brain electric control module receives control instruction, single-chip microcontroller executes control program, and output control signal controls all kinds of electricity
Machine acts the executing agency of massage armchair, to realize the massage to neck, waist, leg.Brain electric control module of the invention
Using PIC16F74 single-chip microcontroller.
Brain wave acquisition module of the invention, brain electric treatment module, brain electric control module all have corresponding independently-powered electricity
Source.Wherein, the power supply of brain wave acquisition module can be 9V direct current, brain electric treatment module, brain electric control module power supply be 19V
Direct current, can be obtained by being rectified, being filtered to 220V alternating current, be depressured.The power supply of massage machine is 220V
Alternating current.
A kind of massage armchair comfort level automatic regulating system adjusting method based on brain-computer interface, includes the following steps:
S1: default personal system eeg data library.When user uses massage armchair automatic regulating system for the first time, pressed for difference
It rubs intensity, needs to carry out systemic presupposition: for every level-one massage intensity, extracting EEG signals of the user under massage state, really
Fixed corresponding brain electrical feature parameter, obtains the comfortable section of EEG signals parameter.The eeg data library for establishing individual subscriber, is made with this
For the control standard of massage armchair comfort level.
Step S1 includes:
S11: massage armchair comfort level automatic regulating system, first open system each section power supply, Yong Hupei are used for the first time
Brain wave acquisition cap is worn, brain wave acquisition cap size can finely tune, and user can voluntarily be adjusted to most comfortable state.
S12: the brain electricity analytical software of starting brain electric treatment module, user use the massage armchair comfort level to automatically adjust for the first time
System, brain electricity analytical software will carry out initialization access customer individual database of going forward side by side and establishes interface.
S13: for user when receiving massage armchair massage for the first time, pre-set user comfort conditions range of motor speeds is R1~R2,
The motor speed of massage armchair is ascending, and massage intensity is successively enhanced to N grades by 1 grade, and individual database records often respectively at this time
The EEG signals parameter of grade massage intensity, this parameter are EEG Processing, the sorted characteristic parameter of feature extraction, and record is used
EEG signals parameter section the boundary value P1 and P2 at family, P1~P2 is the comfortable section of EEG signals parameter, if massaging currently
User's EEG signals parameter is within the scope of P1~P2 under intensity, then illustrates that user is currently at comfort conditions.
S2: personal system eeg data library establish after, user should first turn on brain wave acquisition module, brain electric treatment module and
The power switch of brain electric control module is in standby brain wave acquisition module, brain electric treatment module and brain electric control module.
S3: user wears brain wave acquisition cap, and the dry electrode on brain wave acquisition cap acquires original EEG signals.
S4: original EEG signals handle to obtain straight for computer by the microprocessing unit being integrated on brain wave acquisition cap
Connect the EEG signals of processing.
S5: EEG signals obtained in S4 are transferred to brain electric treatment module by wireless communication, pass through brain electric treatment mould
The brain electricity analytical software of block analyzes collected EEG signals, and to brain electric control module issue can identified control instruction into
Row massage intensity is adjusted, the EEG signals that then collection analysis user generates again, until user's EEG signals parameter is current
The comfortable section of EEG signals parameter under massage intensity in default individual database.
Step S5 includes:
S51: user is sitting on massage armchair and default massage intensity, current massage intensity form haptic stimulus to user,
And evoked brain potential signal.
S52: corresponding EEG signals are generated based on haptic stimulus user, brain wave acquisition cap acquires user's EEG signals and carries out
Preliminary amplification, filtering processing, and by the EEG signals wireless communication transmissions of preliminary treatment into brain electric treatment module.
S53: the brain electricity analytical software of brain electric treatment module pre-processes the EEG signals received, feature extraction and
Tagsort.The brain electric treatment module carries out time and frequency domain analysis to EEG signals, extracts characteristic parameter and classifies.
S54: by the date comprision in the eeg data and database that are obtained after feature extraction and tagsort, analysis
The eeg data of current massage intensity, if the EEG signals parameter of user is not within the scope of P1~P2 under current massage intensity,
Predetermined time hindbrain electric treatment module sends corresponding control instruction to brain electric control module, and brain electric control module receives brain electricity
The control instruction of processing module transmission simultaneously executes the instruction adjusting massage intensity, the first control of control circuit in brain electric control module
After unit processed receives instruction, control neck massaging device executes massage；After second control unit receives instruction, control waist massage
Device executes massage；After third control unit receives instruction, control leg massager executes massage.
S55: repeating step S52 to S54, until in eeg data and database that feature extraction and tagsort obtain
After data analysis, the EEG signals parameter of user is within the scope of P1~P2 under current massage intensity, is then massaged currently
Massage is executed under mode.
The process of adjusting method of the present invention is as shown in Figure 2.
More specifically, user is set as each different Ying Youyi sections of adaptation times of massage intensity of present system
30s。
In conclusion a kind of massage armchair comfort level based on brain-computer interface according to an embodiment of the present invention automatically adjusts system
System acquires user based on the real-time EEG signals generated under real-time massage intensity by brain wave acquisition module, is wirelessly transmitted to brain
The analysis of electric treatment resume module, the data stored in current eeg data and database are compared, are found out corresponding
Control instruction, and issue instruction；Brain electric control module is adjusted massage intensity according to control instruction；Hereby it is achieved that user
Comfort level automatically adjusts under real-time massage intensity.For the control acted based on user's subjectivity, it is based on brain-computer interface
Control instruction be human body real demand direct embodiment, thus intelligence degree is higher, can more fully meet user
Demand.
Claims (9)
1. a kind of massage armchair comfort level automatic regulating system based on brain-computer interface, it is characterised in that: the system includes that brain electricity is adopted
Collect module, brain electric treatment module, brain electric control module and massage armchair；The brain wave acquisition module uses brain wave acquisition cap, brain electricity
Microprocessing unit is integrated on acquisition cap；The brain electric treatment module and brain wave acquisition module are wirelessly connected, brain wave acquisition module
The EEG signals of acquisition are transferred to brain electric treatment module, the brain electricity analytical software of brain electric treatment module carries out EEG signals pre-
Processing, feature extraction and tagsort；The brain electric control module includes SCM Based control circuit and motor, with brain
Electric treatment module wired connection；The first control unit of control circuit, the second control unit, third control in brain electric control module
Unit is connected with the neck massaging device of massage armchair, waist masaging device and leg massager respectively, controls the neck of massage armchair
Portion, waist and leg massager each motor.
2. a kind of massage armchair comfort level automatic regulating system based on brain-computer interface according to claim 1, feature exist
In: the brain wave acquisition cap is dry electrode brain wave acquisition cap, do number of electrodes be 11, respectively C3, CZ, C4, CP1, CP2,
P3,PZ,P4,M1,M2,GND；Wherein, C3, CZ, C4, CP1, CP2, P3, PZ, P4 are acquisition electrode, acquire user's quader
Area, M1, M2 are reference electrode, and GND is grounding electrode, using flexible connection between each electrode.
3. a kind of massage armchair comfort level automatic regulating system based on brain-computer interface according to claim 1 or 2, feature
Be: the microprocessing unit includes STM32C8T6 processor chips, pre-amplification circuit, bandwidth-limited circuit, 50Hz pinches of waves
Circuit, main amplifying circuit, A/D conversion circuit and output circuit；The pre-amplification circuit extracts brain telecommunications from noise background
Number；Bandwidth-limited circuit passes through the electrocardiosignal of frequency 0.05-100Hz；50Hz pinches wave circuit for filtering out 50Hz work
Frequency interferes；Main amplifying circuit is amplified the EEG signals of preposition amplification again；The mould that A/D conversion circuit arrives system acquisition
Quasi- signal is converted to digital signal；Output circuit exports the digital signal after conversion.
4. a kind of massage armchair comfort level automatic regulating system based on brain-computer interface according to claim 1, feature exist
In: the pretreatment includes carrying out time domain, frequency domain filtering to signal；The feature extraction refers to by pretreated brain electricity number
Signal characteristic is obtained according to progress time domain, frequency-domain analysis；Extracted brain electrical feature is classified using classifier, tagsort
EEG signals under different massage intensities are distinguished.
5. a kind of massage armchair comfort level automatic regulating system based on brain-computer interface according to claim 1 or 4, feature
It is: after feature extraction, Data Dimensionality Reduction is carried out to the feature of extraction；The classifier that the tagsort uses is supporting vector
Machine.
6. a kind of massage armchair comfort level automatic regulating system based on brain-computer interface according to claim 1, feature exist
In: the control circuit includes driving circuit for electromagnetic valve, motor-drive circuit and position detecting circuit；The solenoid-driven electricity
Road is used to control the inflation/deflation of massage armchair air bag；The motor-drive circuit is for controlling massage armchair kneading, beating, the electricity of push rod
Machine；The position detecting circuit is for demarcating massage chair movement walking position, kneading width；The single-chip microcontroller uses PIC16F74
Single-chip microcontroller.
7. a kind of adjusting method realized based on automatic regulating system described in claim 1-6, it is characterised in that: this method packet
Include following steps:
S1: being directed to different massage intensities, presets personal system eeg data library, obtains the comfortable section of EEG signals parameter；
S2: the power switch of brain wave acquisition module, brain electric treatment module and brain electric control module is opened, is made at automatic regulating system
In standby mode；
S3: user wears brain wave acquisition cap, and the dry electrode on brain wave acquisition cap acquires original EEG signals；
S4: original EEG signals handle to obtain by the microprocessing unit being integrated on brain wave acquisition cap directly to be located for computer
The EEG signals of reason；
S5: EEG signals obtained in S4 are transferred to brain electric treatment module, the brain electricity of brain electric treatment module by wireless communication
The collected EEG signals of analysis software, and issue control instruction to brain electric control module and carry out massage intensity adjusting, so
The EEG signals that collection analysis user generates again afterwards, until user's EEG signals parameter is under current massage intensity in default
The comfortable section of EEG signals parameter in individual database.
8. a kind of massage armchair comfort level automatic regulating system adjusting method based on brain-computer interface according to claim 7,
It is characterized by: in step sl, presetting personal system eeg data library, obtaining the comfortable section of EEG signals parameter, including such as
Lower step:
S11: using massage armchair comfort level automatic regulating system, first open system each section power supply for the first time, and user wears
Brain wave acquisition cap；
S12: the brain electricity analytical software of starting brain electric treatment module, user use massage armchair comfort level automatic adjustment system for the first time
System, brain electricity analytical software will carry out initialization access customer individual database of going forward side by side and establishes interface；
S13: for user when receiving massage armchair massage for the first time, pre-set user comfort conditions range of motor speeds is R1~R2, massage
The motor speed of chair is ascending, and massage intensity is successively enhanced to N grades by 1 grade, and it is strong that individual database records every grade of massage respectively
The EEG signals parameter of degree, and record EEG signals parameter section the boundary value P1 and P2 of user.
9. a kind of massage armchair comfort level automatic regulating system adjusting method based on brain-computer interface according to claim 8,
It is characterized by: in step s 5, the EEG signals that collection analysis user generates, and control instruction is issued to brain electric control module
Massage intensity adjusting is carried out, until brain of user's EEG signals parameter under current massage intensity in default individual database
The comfortable section of electric signal parameter, steps are as follows:
S51: user is sitting on massage armchair and default massage intensity, and current massage intensity forms haptic stimulus to user, and lures
Send out EEG signals；
S52: corresponding EEG signals are generated based on haptic stimulus user, brain wave acquisition cap acquires user's EEG signals and carries out tentatively
Amplification, filtering processing, and by the EEG signals wireless communication transmissions of preliminary treatment into brain electric treatment module；
S53: the brain electricity analytical software of brain electric treatment module pre-processes the EEG signals received, feature extraction and feature
Classification；
S54: by the date comprision in the eeg data and database that obtain after feature extraction and tagsort, analysis is current
The eeg data of massage intensity makes a reservation for if the EEG signals parameter of user is not within the scope of P1~P2 under current massage intensity
Time hindbrain electric treatment module sends corresponding control instruction to brain electric control module, and brain electric control module receives the control and refers to
The instruction adjusting massage intensity is enabled and executes, after the first control unit of control circuit receives instruction in brain electric control module, control
Neck massaging device processed executes massage；After second control unit receives instruction, control waist masaging device executes massage；Third control
After unit processed receives instruction, control leg massager executes massage；
S55: repeating step S52 to S54, until the data in eeg data and database that feature extraction and tagsort obtain
After analysis, the EEG signals parameter of user is within the scope of P1~P2 under current massage intensity, then in current massage mode
It is lower to execute massage.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910004126.9A CN109871121A (en) | 2019-01-03 | 2019-01-03 | A kind of massage armchair comfort level automatic regulating system and adjusting method based on brain-computer interface |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910004126.9A CN109871121A (en) | 2019-01-03 | 2019-01-03 | A kind of massage armchair comfort level automatic regulating system and adjusting method based on brain-computer interface |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109871121A true CN109871121A (en) | 2019-06-11 |
Family
ID=66917491
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910004126.9A Pending CN109871121A (en) | 2019-01-03 | 2019-01-03 | A kind of massage armchair comfort level automatic regulating system and adjusting method based on brain-computer interface |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109871121A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113545970A (en) * | 2021-06-30 | 2021-10-26 | 易念科技（深圳）有限公司 | Control method of electronic equipment and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106618994A (en) * | 2016-11-21 | 2017-05-10 | 璁搁弓 | Intelligent massage device and control method thereof |
| CN106974648A (en) * | 2017-03-27 | 2017-07-25 | 广州视源电子科技股份有限公司 | Electroencephalogram relaxation degree identification method and device based on time domain and frequency domain space |
| CN107928665A (en) * | 2017-12-09 | 2018-04-20 | 海宁神迹医疗器械有限公司 | A kind of Multifunctional brain pyroelectric monitor case and its method of work |
| CN107928971A (en) * | 2017-11-22 | 2018-04-20 | 宁波德葳智能科技有限公司 | A kind of Intelligent brain wave control massage armchair and its control method |
-
2019
- 2019-01-03 CN CN201910004126.9A patent/CN109871121A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106618994A (en) * | 2016-11-21 | 2017-05-10 | 璁搁弓 | Intelligent massage device and control method thereof |
| CN106974648A (en) * | 2017-03-27 | 2017-07-25 | 广州视源电子科技股份有限公司 | Electroencephalogram relaxation degree identification method and device based on time domain and frequency domain space |
| CN107928971A (en) * | 2017-11-22 | 2018-04-20 | 宁波德葳智能科技有限公司 | A kind of Intelligent brain wave control massage armchair and its control method |
| CN107928665A (en) * | 2017-12-09 | 2018-04-20 | 海宁神迹医疗器械有限公司 | A kind of Multifunctional brain pyroelectric monitor case and its method of work |
Non-Patent Citations (2)
| Title |
|---|
| 邵婷婷等: "基于脑电（EEG）的椅式按摩位置对按摩舒适性影响的研究", 《安徽农业大学学报》 * |
| 陈浩淼等: "按摩模式对揉捏式按摩椅按摩舒适性的影响", 《人类工效学》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113545970A (en) * | 2021-06-30 | 2021-10-26 | 易念科技（深圳）有限公司 | Control method of electronic equipment and electronic equipment |
| CN113545970B (en) * | 2021-06-30 | 2024-04-30 | 易念科技（深圳）有限公司 | Control method of electronic equipment and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107315478A (en) | A kind of Mental imagery upper limbs intelligent rehabilitation robot system and its training method | |
| CN109999314A (en) | One kind is based on brain wave monitoring Intelligent sleep-assisting system and its sleep earphone | |
| CN105833411A (en) | Novel intelligent sleeping-aiding and natural wakening method and device | |
| CN107928971A (en) | A kind of Intelligent brain wave control massage armchair and its control method | |
| CN109357352B (en) | Air conditioner intelligent temperature control system and method based on decision tree classification algorithm | |
| CN111856958A (en) | Intelligent household control system, control method, computer equipment and storage medium | |
| CN108836328A (en) | A kind of equipment for being monitored for electromyography signal and generating corresponding electrical stimulation signal | |
| CN110974212A (en) | Electrocardio and myoelectric characteristic fused rehabilitation training motion state monitoring method and system | |
| CN103372258A (en) | Insomnia treatment instrument and insomnia treatment method | |
| CN104951082A (en) | Brain-computer interface method for intensifying EEG (electroencephalogram) signals through stochastic resonance | |
| CN109871121A (en) | A kind of massage armchair comfort level automatic regulating system and adjusting method based on brain-computer interface | |
| CN107811802A (en) | A kind of massage armchair auxiliary sleeping device | |
| CN105342606A (en) | Method for treating sleep disorder by regulating central nerves | |
| CN111481799A (en) | Brain wave closed-loop control equipment | |
| CN112717253A (en) | Acousto-optic combined awakening device based on brain wave monitoring | |
| CN109480837A (en) | E.E.G induces adjusting method, device and computer readable storage medium | |
| CN110491498A (en) | A kind of data receiver and processing method of brain wave signal | |
| CN110584611A (en) | Sleep monitoring system with good energy-saving effect | |
| CN110433384A (en) | A kind of sleep music system | |
| CN110585554B (en) | Sleep-aiding music control system | |
| CN113368365A (en) | Sound vibration regulation and control equipment and method for brain function monitoring, headrest and head-mounted equipment | |
| CN116831874A (en) | Lower limb rehabilitation device control method based on electromyographic signals | |
| CN110917464B (en) | Vibration sleep-aiding system for inducing Alpha wave generation | |
| CN114053550B (en) | Earphone type emotion pressure adjusting device based on high-frequency electrocardio | |
| CN110051351A (en) | It grits one's teeth the control method and device of signal acquiring method and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190611 |