CN109688508A - Earphone control system based on brain wave - Google Patents
Earphone control system based on brain wave Download PDFInfo
- Publication number
- CN109688508A CN109688508A CN201910148644.8A CN201910148644A CN109688508A CN 109688508 A CN109688508 A CN 109688508A CN 201910148644 A CN201910148644 A CN 201910148644A CN 109688508 A CN109688508 A CN 109688508A
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- Prior art keywords
- module
- data
- signal
- earphone
- brain wave
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Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1041—Mechanical or electronic switches, or control elements
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2201/00—Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
- H04R2201/10—Details of earpieces, attachments therefor, earphones or monophonic headphones covered by H04R1/10 but not provided for in any of its subgroups
Abstract
The invention discloses the earphone control systems based on brain wave, including permanent magnetic vibration charging module, energy-storage module and control module, the eeg signal acquisition module, bluetooth module and control module, the eeg signal acquisition module selects bioelectrical signals caused by the acquisition face muscular movement of TGAM brain wave module, eeg signal acquisition module converts data-signal for bioelectrical signals and is sent in earphone control module through bluetooth module, pass through bioelectrical signals caused by acquisition face muscular movement, realization controls earphone accordingly, and then control of the realization to mobile phone.
Description
Technical field
The present invention relates to self-charging mouse technical fields, more particularly to the earphone control system based on brain wave.
Background technique
With the development of the times, people are also higher and higher to the demand of sci-tech product, for earphone, global earphone
Sales volume started just to have reached 30.3 hundred million since 2012, and sales volume is also up to 74.11 hundred million dollars, now also on continuous
It rises.Earphone can will not bother others simultaneously to one completely private listening space of people, have become people's life
Necessity.But the survey found that whether wired earphone or wireless headset, mode of operation all be unable to do without physical contact
Mode, i.e., the earphone manipulated by phones button or mobile phone, however this traditional mode can not be separated from ours always
Both hands.
So the present invention provides the new scheme of one kind to solve the problems, such as this.
Summary of the invention
For above situation, for the defect for overcoming the prior art, purpose of the present invention is to provide the ears based on brain wave
Machine control system, by bioelectrical signals caused by acquisition face muscular movement, realization controls earphone accordingly,
And then control of the realization to mobile phone.
Its technical solution solved is the earphone control system based on brain wave, including permanent magnetic vibration charging module, energy storage
Module and control module, the eeg signal acquisition module, bluetooth module and control module, the eeg signal acquire mould
Block selects bioelectrical signals caused by the acquisition face muscular movement of TGAM brain wave module, and eeg signal acquisition module will
Bioelectrical signals are converted into data-signal and are sent in earphone control module through bluetooth module；
The earphone control system specific work steps:
S1. after user's wearable device, system power supply module starting, lithium battery is powered to each unit module；
S2. simple alignment is carried out to wearable device, blinks eyes three times, eeg signal acquisition module acquisition user blinks three times
Bioelectrical signals caused by eyes convert data-signal for bioelectrical signals and are sent to earphone control module through bluetooth module
Interior, when the lamp in earphone control module lights, then calibration is finished；
S3. user can generate a series of brain wave action potentials by blink, and eeg signal acquisition module will generate
Bioelectrical signals be converted into data-signal, eeg signal acquisition module selects Recursive Filtering algorithm to filter out noise signal transmission
To bluetooth module；
S4. bluetooth module selects DMA transfer mode to transmit data with control module；
S5. control module is analyzed and processed data-signal, and data-signal is converted to command signal, is realized to earphone
Control.
By above technical scheme, the invention has the benefit that
1. going control earphone to go to realize corresponding function with brain wave, need just to can be carried out behaviour with hand compared to conventional earphone
The drawbacks of making, which, which only passes through idea, to answer incoming call, control the broadcasting and stopping of music, operation
It is also innovated in mode, keeps the manipulation of earphone more convenient, largely liberated both hands, people is made to use earphone
While, also do not delay and do anything, improves work efficiency.
2. brain wave control earphone system can be inconvenient to leave the people to work at hand for special occasions and provide convenience, together
When be also that people in movement can freely manipulate song during the motion and provide convenience.Separately have, is able to solve disabled person
Scholar is cut song when using earphone, answers and hangs up these problems.For general population, brain wave controls earphone
System provides more preferable more convenient and fast earphone usage mode, and this convenient and fast mode is not only only capable of saving in daily life for people
The about unnecessary operating time can more avoid some dangerous (incoming calls in such as startup procedure) under certain special occasions.For
For people with disabilities, brain wave control earphone system will provide better ear-phone function for them and use, eliminate it is some due to
Accident or disease and bring is inconvenient.
Detailed description of the invention
Fig. 1 is system module figure of the invention.
Fig. 2 is system flow chart of the invention.
Specific embodiment
For the present invention aforementioned and other technology contents, feature and effect, in following cooperation with reference to figures 1 through attached drawing 2
To in the detailed description of embodiment, can clearly present.The structure content being previously mentioned in following embodiment is with specification
Attached drawing is reference.
Embodiment one, the earphone control system based on brain wave, including permanent magnetic vibration charging module, energy-storage module and control
Module, the eeg signal acquisition module, bluetooth module and control module, the eeg signal acquisition module select TGAM
Brain wave module acquires bioelectrical signals caused by face muscular movement, and eeg signal acquisition module is by bioelectrical signals
Data-signal is converted into be sent in earphone control module through bluetooth module；
The earphone control system specific work steps:
S1. after user's wearable device, system power supply module starting, lithium battery is powered to each unit module；
S2. simple alignment is carried out to wearable device, blinks eyes three times, eeg signal acquisition module acquisition user blinks three times
Bioelectrical signals caused by eyes convert data-signal for bioelectrical signals and are sent to earphone control module through bluetooth module
Interior, when the lamp in earphone control module lights, then calibration is finished；
S3. user can generate a series of brain wave action potentials by blink, and eeg signal acquisition module will generate
Bioelectrical signals be converted into data-signal, eeg signal acquisition module selects Recursive Filtering algorithm to filter out noise signal transmission
To bluetooth module；
S4. bluetooth module selects DMA transfer mode to transmit data with control module；
S5. control module is handled data-signal with weighted regression method combination two dimensional model, first logarithm it is believed that
Number pretreatment, then establish bidimensional regression model with least square method, ear-phone function mould constituted with abscissa A and ordinate B
Type figure, data-signal are abscissa a and ordinate b bearing signal, compare with bidimensional regression model and determine function, are finally converted to
Command signal realizes control to earphone, and that is to say can control mobile phone by earphone, instead of with hand operating handset.
Embodiment two, on the basis of example 1, Recursive Filtering algorithm filters out noise signal, and first to establish a data slow
Area is rushed, stores N number of sampled data in order, as soon as often adopting into a new data, that data acquired earliest is lost, are then asked
The expression formula of the arithmetic mean of instantaneous value or weighted average of N number of data including new data, output is as follows:
In formula (1), y (t) is the output of filter, and f (x) is the input of filter, and T0 is glide filter length.
If input signal expression formula is:
If the period of filter is T0, and is enabled:
T0=kT+R；(k=0,1,2...；0≤R < T) (3)
The so amplitude of filter output signal such as following formula is calculated:
Arrangement obtains:
It enables:
It is obtained by (5) (6):
In order to facilitate calculating, (7) are deformed as follows:
Next phase-frequency response is calculated.Theoretical calculation it is found that all input signals are believed that phase delay R/2,
So signal can be expressed as formula relative to the differential seat angle of input signal:
We pass through more than algorithm Denoising disposal to eeg signal may be implemented so that eeg signal is allowed to produce
Raw waveform is more smooth, more high-fidelity.
The present invention is when specifically used, the earphone control system based on brain wave, including permanent magnetic vibration charging module, energy storage
Module and control module, the eeg signal acquisition module, bluetooth module and control module, the eeg signal acquire mould
Block selects bioelectrical signals caused by the acquisition face muscular movement of TGAM brain wave module, and eeg signal acquisition module will
Bioelectrical signals are converted into data-signal and are sent in earphone control module through bluetooth module；The earphone control system specific works
Step: after user's wearable device, system power supply module starting, lithium battery is powered to each unit module, carries out letter to wearable device
Single calibration, blinks eyes three times, and eeg signal acquisition module acquisition user blinks bioelectrical signals caused by eyes three times, will give birth to
Object electric signal is converted into data-signal and is sent in earphone control module through bluetooth module, when the lamp in earphone control module lights
When then calibration finish, user can generate a series of brain wave action potentials by blink, and eeg signal acquisition module will produce
Raw bioelectrical signals are converted into data-signal, and eeg signal acquisition module selects Recursive Filtering algorithm to filter out noise signal biography
It transports in bluetooth module, bluetooth module selects DMA transfer mode to transmit data with control module, and control module is to data
Signal is analyzed and processed, and data-signal is converted to command signal, realizes the control to earphone, that is to say can pass through earphone
Mobile phone is controlled, instead of with hand operating handset.
The above is that further detailed description of the invention, and it cannot be said that the present invention in conjunction with specific embodiment
Specific implementation is limited only to this；Belonging to the present invention and for those skilled in the technology concerned, it is being based on skill of the present invention
Under the premise of art scheme thinking, it is made expansion and operating method, data replacement, should all fall in the scope of the present invention it
It is interior.
Claims (3)
1. the earphone control system based on brain wave, it is characterised in that: including permanent magnetic vibration charging module, energy-storage module and control
Module, the eeg signal acquisition module, bluetooth module and control module, the eeg signal acquisition module select TGAM
Brain wave module acquires bioelectrical signals caused by face muscular movement, and eeg signal acquisition module is by bioelectrical signals
Data-signal is converted into be sent in earphone control module through bluetooth module；
The earphone control system specific work steps:
S1. after user's wearable device, system power supply module starting, lithium battery is powered to each unit module；
S2. simple alignment is carried out to wearable device, blinks eyes three times, eeg signal acquisition module acquisition user blinks eyes three times
Generated bioelectrical signals convert data-signal for bioelectrical signals and are sent in earphone control module through bluetooth module,
When the lamp in earphone control module lights, then calibration is finished；
S3. user can generate a series of brain wave action potentials by blink, and eeg signal acquisition module is by the life of generation
Object electric signal is converted into data-signal, and eeg signal acquisition module selects Recursive Filtering algorithm to filter out noise signal transmission to indigo plant
In tooth module；
S4. bluetooth module selects DMA transfer mode to transmit data with control module；
S5. control module is analyzed and processed data-signal, and data-signal is converted to command signal, realizes the control to earphone
System.
2. the earphone control system based on brain wave as described in claim 1, it is characterised in that: Recursive Filtering algorithm, which filters out, makes an uproar
Acoustical signal first establishes a data buffer zone, stores N number of sampled data in order, as soon as often adopting into a new data, will adopt earliest
That data of collection are lost, and the arithmetic mean of instantaneous value or weighted average of N number of data including new data are then asked, and are exported
Expression formula it is as follows:
In formula (1), y (t) is the output of filter, and f (x) is the input of filter, and T0 is glide filter length.
3. the earphone control system based on brain wave as described in claim 1, it is characterised in that: control module is used and weighted back
Return method combination two dimensional model to handle data-signal, first data-signal is pre-processed, is then built with least square method
Vertical bidimensional regression model is constituted ear-phone function illustraton of model with abscissa A and ordinate B, and data-signal is abscissa a and ordinate
B bearing signal compares with bidimensional regression model and determines function, is finally converted to command signal, realizes the control to earphone.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910148644.8A CN109688508A (en) | 2019-02-28 | 2019-02-28 | Earphone control system based on brain wave |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910148644.8A CN109688508A (en) | 2019-02-28 | 2019-02-28 | Earphone control system based on brain wave |
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| CN109688508A true CN109688508A (en) | 2019-04-26 |
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| CN104902391A (en) * | 2015-05-21 | 2015-09-09 | 成都腾悦科技有限公司 | Brain wave sensing Bluetooth headset |
| CN106445165A (en) * | 2016-10-19 | 2017-02-22 | 海南爱目无线科技有限公司 | Head-mounted type controlling system based on electroencephalogram eeg analytic technique |
| CN206178667U (en) * | 2016-10-19 | 2017-05-17 | 海南爱目无线科技有限公司 | Wear -type control system based on brain wave analytic technique |
| US20170185149A1 (en) * | 2015-12-26 | 2017-06-29 | Intel Corporation | Single sensor brain wave monitor |
| CN108874130A (en) * | 2018-06-04 | 2018-11-23 | Oppo广东移动通信有限公司 | Control method for playing back and Related product |
| CN109086726A (en) * | 2018-08-10 | 2018-12-25 | 陈涛 | A kind of topography's recognition methods and system based on AR intelligent glasses |
| CN109271020A (en) * | 2018-08-23 | 2019-01-25 | 西安交通大学 | A kind of stable state vision inducting brain-machine interface method of evaluating performance based on eye movement tracking |
-
2019
- 2019-02-28 CN CN201910148644.8A patent/CN109688508A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104902391A (en) * | 2015-05-21 | 2015-09-09 | 成都腾悦科技有限公司 | Brain wave sensing Bluetooth headset |
| US20170185149A1 (en) * | 2015-12-26 | 2017-06-29 | Intel Corporation | Single sensor brain wave monitor |
| CN106445165A (en) * | 2016-10-19 | 2017-02-22 | 海南爱目无线科技有限公司 | Head-mounted type controlling system based on electroencephalogram eeg analytic technique |
| CN206178667U (en) * | 2016-10-19 | 2017-05-17 | 海南爱目无线科技有限公司 | Wear -type control system based on brain wave analytic technique |
| CN108874130A (en) * | 2018-06-04 | 2018-11-23 | Oppo广东移动通信有限公司 | Control method for playing back and Related product |
| CN109086726A (en) * | 2018-08-10 | 2018-12-25 | 陈涛 | A kind of topography's recognition methods and system based on AR intelligent glasses |
| CN109271020A (en) * | 2018-08-23 | 2019-01-25 | 西安交通大学 | A kind of stable state vision inducting brain-machine interface method of evaluating performance based on eye movement tracking |
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Application publication date: 20190426 |