CN109471530A - Brain control input method based on Steady State Visual Evoked Potential and Mental imagery - Google Patents
Brain control input method based on Steady State Visual Evoked Potential and Mental imagery Download PDFInfo
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- CN109471530A CN109471530A CN201811226347.2A CN201811226347A CN109471530A CN 109471530 A CN109471530 A CN 109471530A CN 201811226347 A CN201811226347 A CN 201811226347A CN 109471530 A CN109471530 A CN 109471530A
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
Abstract
The brain control input method based on Steady State Visual Evoked Potential and Mental imagery that the invention discloses a kind of, to overcome the problems, such as that the function of existing control method realizes there is unicity and limitation, step are as follows: 1) acquire EEG signals: (1) generation of EEG signals；(2) acquisition of EEG signals；2) online EEG Processing；3) control dummy keyboard realizes intelligent typewriting function: dummy keyboard interface is divided into: (1) display interface: the character showing area a., wherein character showing area is used to show the character inputted；B. vocabulary associates area: area, vocabulary association is available for users to quickly selection character relative words, may choose whether to open；(2) vision induced input interface: 13 flashing keys in vision induced input interface can stimulate human brain to generate SSVEP current potential, moving left and right for virtual key is controlled by right-hand man's Mental imagery, while controlling the selection of virtual key by watching virtual key stimulus cerebral cortex generation SSVEP signal attentively.
Description
Technical field
The present invention relates to a kind of input methods of field of brain-computer interfaces, it more particularly relates to a kind of based on steady
The brain control input method of state visual evoked potential and Mental imagery.
Background technique
Brain-computer interface (Brain-computer Interface, hereinafter referred to as BCI) is one kind developed in recent years
Man machine interface, it is not dependent on the normal output channel of brain, so that it may the system for realizing human brain and extraneous direct communication.
Different EEG signals, after effective signal processing and pattern-recognition, computer just can recognize that the thinking shape of user
State, and complete desired controlling behavior.Currently, BCI technology has been applied to medical rehabilitation engineering and robot assisted control
Equal fields have very high social value and research potential just by mondial extensive concern.
In the field BCI, common control model can be divided into stimulation current potential and task imagines two classes.Stimulation current potential such as P300 is lured
Generate electricity position, Steady State Visual Evoked Potential (Steady-State Visual Evoked Potentials, hereinafter referred to as SSVEP)
Deng；Task imagines such as Mental imagery, Tasks.SSVEP refers to when visual stimulus by a fixed frequency,
The brain visual cortex of people can generate a continuously response related with frequency of stimulation.Specific manifestation are as follows: when subject watches attentively
When the stimulation of different flicker frequencies, can occur SSVEP frequency width increment at respective frequencies, pass through the methods of Fast Fourier Transform (FFT)
The spectral characteristic that can analyze the EEG signals of subject's generation can be by its turn according to the difference of frequency characteristic to Modulation recognition
It is changed to corresponding control command；Mental imagery is the idea activity that can artificially control, when people carries out Mental imagery, event phase
Desynchronize (Event-related desynchronizat ion, hereinafter referred to as ERD) and event-related design (Event- for pass
Related synchronization, ERS) phenomenon is by excitation cerebral cortex potential change, when imagination left hand or right hand movement
When, the ERD phenomenon performance of the Bate rhythm and pace of moving things of the Mu rhythm and pace of moving things and 13-30Hz of 8-13Hz is significant, and appears in human brain cortex
Allocheria motor area can classify to signal according to such important feature, be converted into corresponding control command.
Currently available technology imagines one of control method only with stimulation current potential or task, is realized by brain control man-machine
Interbehavior, if " the dynamic window Steady State Visual Evoked Potential brain machine interface system " of Tsinghua University is exactly using stimulation current potential
SSVEPS building.The function of such control method, which is realized, has unicity and limitation, and the present invention is further by SSVEP and fortune
The dynamic imagination combines, and studies hybrid mode brain electric information, improves the universality of system, can be realized multiple-task function
Energy.
Summary of the invention
The technical problem to be solved by the present invention is to overcome the function of existing control method to realize there is unicity and office
Sex-limited problem provides a kind of brain control input method based on Steady State Visual Evoked Potential and Mental imagery.
In order to solve the above technical problems, the present invention is achieved by the following technical scheme:
The brain control input method based on Steady State Visual Evoked Potential and Mental imagery comprises the following steps that
1) EEG signals are acquired:
(1) generation of EEG signals；
(2) acquisition of EEG signals；
2) online EEG Processing；
3) control dummy keyboard realizes intelligent typewriting function:
Dummy keyboard interface is divided into:
(1) display interface
A. character showing area；
Wherein, character showing area is used to show the character inputted,
B. vocabulary associates area
Area, vocabulary association, which is available for users to quickly selection character relative words, the function, to be chosen whether according to actual needs
It opens；
(2) vision induced input interface
13 virtual keys in vision induced input interface can stimulate human brain to generate SSVEP current potential.
The generation of EEG signals described in technical solution refers to:
The vision induced input interface of user's face wears electrode for encephalograms cap, and 13 virtual keys are flashed with different frequency, pierces
Swash human brain and generate SSVEP current potential, user carries out right-hand man's Mental imagery simultaneously, and acquisition tasks start；
The vision induced input interface is under Windows operating system environment based on Microsoft Visual
2010 platform development of Studio, flicker stimulates are realized using timer, assign the different flashing frequency of 13 4~30Hz of key
Rate.
The step of acquisition of EEG signals described in technical solution, is as follows:
(1) SSVEP signal and Mental imagery EEG signals are acquired from human brain scalp brain electrode；
(2) signal is amplified via preamplifier；
(3) Hz noise is eliminated using 50Hz trapper；
(4) signal with two class brain electric informations is obtained using 4-30Hz bandpass filter；
(5) second level amplification is carried out to signal；
(6) signal is subjected to A/D conversion；
(7) data will have been obtained and online signal processor is reached by bluetooth.
Online EEG Processing described in technical solution refers to:
1) the two class EEG signals as transmitted by bluetooth are received by serial ports；
2) fast fourier transform algorithm embedded by two digital signal processors is by two class EEG signals by time-frequency
Discrete signal be converted into the continuous signal of frequency domain, the power spectral density of signal is calculated as feature according to Paasche Wa Er theorem；
Wherein the calculation formula of Paasche Wa Er theorem is as follows:
In formula: the power spectral density of P (k) representation signal, signal length N, | X (k) |2For the frequency of k sampled point of signal
Spectrum energy；
3) by two category feature result composition characteristic vectors, the Canonical Correlation Analysis embedded using digital signal processor
Pattern-recognition is carried out to brain electrical feature；
4) by mcu programming, pattern recognition result is matched with each key assignments, being communicated by bluetooth serial ports will
Control instruction is exported to the end PC virtual serial port, realizes that the character of Human computer interface such as shows at the functions, is completed man-machine interaction and is closed
Ring control.
13 virtual key functions and corresponding key assignments mapping in vision induced input interface described in technical solution are as follows:
(1) it closes vocabulary association area's function and corresponds to key assignments 1；
(2) character ABC/DEF/GHI/JKL/MNO/PQRS/TUV/WXYZ respectively corresponds key assignments 2/3/4/5/6/7/8/9；
(3) it moves to left key and corresponds to key assignments 10；
(4) character keys are deleted and corresponds to key assignments 11；
(5) it moves to right key and corresponds to key assignments 12；
(6) confirmation selection key corresponds to key assignments 13.
Compared with prior art the beneficial effects of the present invention are:
Brain control input method of the present invention based on Steady State Visual Evoked Potential and Mental imagery has used hybrid mode
The thought of information control can realize intelligent typewriting function simultaneously by two class brain electric informations, such as: it is controlled using SSVEP empty
The selection of quasi- key, while fast implementing to move to left by Mental imagery and moving to right function without waiting key flash frequency stimulation brain
It generates SSVEP current potential and moves to right function to which selection moves to left.
Detailed description of the invention
The present invention will be further described below with reference to the drawings:
Fig. 1 is the flow chart element of the brain control input method of the present invention based on Steady State Visual Evoked Potential and Mental imagery
Figure；
Fig. 2 is employed in the brain control input method of the present invention based on Steady State Visual Evoked Potential and Mental imagery
The schematic block diagram of brain wave acquisition modular structure composition；
Fig. 3 is online brain electricity in the brain control input method of the present invention based on Steady State Visual Evoked Potential and Mental imagery
Signal processing function flow diagram；
Fig. 4 is employed in the brain control input method of the present invention based on Steady State Visual Evoked Potential and Mental imagery
Dummy keyboard key assignments schematic diagram；
Fig. 5 is that the entirety in the brain control input method of the present invention based on Steady State Visual Evoked Potential and Mental imagery is set
Count block diagram；
Fig. 6 is in the embodiment of the brain control input method of the present invention based on Steady State Visual Evoked Potential and Mental imagery
The input schematic diagram of used Chinese character " summer ".
Specific embodiment
The present invention is explained in detail with reference to the accompanying drawing:
Electroencephalogramsignal signal collection equipment places system using 32 leads, the electrode for encephalograms cap of Ag/Agcl alloy electrode, electrode
System follows 10~20 system electrode Method for Installation being widely used in the world.It is of the present invention based on Steady State Visual Evoked Potential and
The electrode signal acquisition that the brain control input method of Mental imagery is mainly concerned with shares 3, O1 electrode: for acquiring SSVEP signal,
C3, C4 electrode: for acquiring Mental imagery EEG signals.In addition, also needing for reference electrode to be placed in forehead when signal acquisition, ground electricity
Pole is placed on left ear ear-lobe.
Referring to Fig. 1, the step of the brain control input method of the present invention based on Steady State Visual Evoked Potential and Mental imagery
It is as follows:
1. acquiring EEG signals
1) generation of EEG signals:
The vision induced input interface of user's face wears electrode for encephalograms cap, and 13 virtual keys are flashed with different frequency, pierces
Swash human brain and generate SSVEP current potential, user carries out right-hand man's Mental imagery simultaneously, and acquisition tasks start；
The vision induced input interface is under Windows operating system environment based on Microsoft Visual
2010 platform development of Studio, flicker stimulates are realized using timer, assign the different flashing frequency of 13 4~30Hz of key
Rate；
2) acquisition of EEG signals:
Referring to fig. 2, the step of signal acquisition is as follows:
(1) SSVEP signal and Mental imagery EEG signals are acquired from human brain scalp brain electrode；
(2) signal is amplified via preamplifier；
(3) Hz noise is eliminated using 50Hz trapper；
(4) signal with two class brain electric informations is obtained using 4-30Hz bandpass filter；
(5) second level amplification is carried out to signal；
(6) signal is subjected to A/D conversion；
(7) data will have been obtained and online signal processor is reached by bluetooth.
2. online EEG Processing:
Referring to Fig. 3, steps are as follows for online EEG Processing:
1) the two class EEG signals as transmitted by bluetooth are received by serial ports；
2) fast fourier transform algorithm embedded by two digital signal processors is by two class EEG signals by time-frequency
Discrete signal be converted into the continuous signal of frequency domain, the power spectral density of signal is calculated as feature according to Paasche Wa Er theorem；
Wherein the calculation formula of Paasche Wa Er theorem is as follows:
In formula: the power spectral density of P (k) representation signal, signal length N, | X (k) |2For the frequency of k sampled point of signal
Spectrum energy；
3) by two category feature result composition characteristic vectors, the Canonical Correlation Analysis embedded using digital signal processor
Pattern-recognition is carried out to brain electrical feature；
4) by mcu programming, pattern recognition result is matched with each key assignments, being communicated by bluetooth serial ports will
Control instruction is exported to the end PC virtual serial port, realizes that the character of Human computer interface such as shows at the functions, is completed man-machine interaction and is closed
Ring control；
3. controlling dummy keyboard realizes intelligent typewriting function
Referring to fig. 4, dummy keyboard interface is divided into:
1) display interface
(1) character showing area；
Wherein, character showing area is used to show the character inputted,
(2) vocabulary associates area
Area, vocabulary association, which is available for users to quickly selection character relative words, the function, to be chosen whether according to actual needs
It opens；
2) vision induced input interface
13 virtual keys in vision induced input interface can stimulate human brain to generate SSVEP current potential, each virtual key function
It is as follows and to correspond to key assignments mapping:
(1) it closes vocabulary association area's function and corresponds to key assignments 1；
(2) character ABC/DEF/GHI/JKL/MNO/PQRS/TUV/WXYZ respectively corresponds key assignments 2/3/4/5/6/7/8/9；
(3) it moves to left key and corresponds to key assignments 10；
(4) character keys are deleted and corresponds to key assignments 11；
(5) it moves to right key and corresponds to key assignments 12；
(6) confirmation selection key corresponds to key assignments 13.
The intelligent typewriting function can control moving left and right for virtual key by right-hand man's Mental imagery, lead to simultaneously
It crosses and watches virtual key stimulus cerebral cortex generation SSVEP signal attentively to control the selection of virtual key, to realize typewriting function.
The key assignments setting is to send assignment directive to system by bluetooth serial ports agreement under system initial state,
Customized setting is carried out to the key assignments of 13 keys in vision induced input interface.
Referring to Fig. 5, the entirety of the brain control input method of the present invention based on Steady State Visual Evoked Potential and Mental imagery
Design frame chart is described as follows:
1. whole system includes 3 parts: eeg signal acquisition device, EEG Processing device, man-machine interaction circle
Face.
2. implementation method is as follows:
(1) after task start, the vision induced input interface of user's face wears electrode for encephalograms cap, virtual on interface
Key is flashed with different frequency, and stimulation human brain generates SSVEP current potential；
(2) user carries out right-hand man's Mental imagery simultaneously, and electrode for encephalograms cap starts to acquire SSVEP and Mental imagery brain electricity
Signal；
(3) signal is after pre-processing (amplification, filtering, A/D conversion etc.), and by treated, signal passes through Bluetooth transmission extremely
Digital signal processor；
(4) feature extraction algorithm in digital signal processor and sorting algorithm are realized to SSVEP and Mental imagery brain
Control result is passed through Bluetooth transmission to the end PC virtual serial port realization pair in real time by the feature extraction and pattern recognition task of electric signal
The control of Human computer interface, to realize that character such as shows at the functions.
Referring to Fig. 6, the input of Chinese character employed in the embodiment of the present invention " summer " is described as follows:
1. task start, the vision induced input interface of user's face wear electrode for encephalograms cap, on interface virtual key with
Different frequency flashing；
2. assuming that user wants input Chinese character " summer ", then need successively to watch attentively key 9 (X), key 4 (I), key 2 (A), key 13 is (really
It is fixed).After the completion of task, there is Chinese character " summer " in character showing area；
3. vocabulary, which associates area, words relevant to " summer " occurs, if user wants input " Hawaii ", then there are two types of choosings
Select scheme:
(1) imagination right hand movement, until watching attentively key 13 (determination), the confirmation input word when selected " prestige is smooth "；
(2) key 12 (→) is watched attentively, until watching attentively key 13 (determination), the confirmation input word when selected " prestige is smooth ".
4. if closing vocabulary the entry without desired selection, can watch attentively key 1 (return) and associating area.
Claims (5)
1. a kind of brain control input method based on Steady State Visual Evoked Potential and Mental imagery, which is characterized in that described based on steady
State visual evoked potential and the brain control input method of Mental imagery comprise the following steps that
1) EEG signals are acquired:
(1) generation of EEG signals；
(2) acquisition of EEG signals；
2) online EEG Processing；
3) control dummy keyboard realizes intelligent typewriting function:
Dummy keyboard interface is divided into:
(1) display interface
A. character showing area；
Wherein, character showing area is used to show the character inputted,
B. vocabulary associates area
Area, vocabulary association, which is available for users to quickly selection character relative words, the function, to be chosen whether out according to actual needs
It opens；
(2) vision induced input interface
13 virtual keys in vision induced input interface can stimulate human brain to generate SSVEP current potential.
2. the brain control input method described in accordance with the claim 1 based on Steady State Visual Evoked Potential and Mental imagery, feature exist
In the generation of the EEG signals refers to:
The vision induced input interface of user's face wears electrode for encephalograms cap, and 13 virtual keys are flashed with different frequency, stimulates people
Brain generates SSVEP current potential, and user carries out right-hand man's Mental imagery simultaneously, and acquisition tasks start；
The vision induced input interface is under Windows operating system environment based on Microsoft Visual
2010 platform development of Studio, flicker stimulates are realized using timer, assign the different flashing frequency of 13 4~30Hz of key
Rate.
3. the brain control input method described in accordance with the claim 1 based on Steady State Visual Evoked Potential and Mental imagery, feature exist
It is as follows in, the acquisition of the EEG signals the step of:
(1) SSVEP signal and Mental imagery EEG signals are acquired from human brain scalp brain electrode；
(2) signal is amplified via preamplifier；
(3) Hz noise is eliminated using 50Hz trapper；
(4) signal with two class brain electric informations is obtained using 4-30Hz bandpass filter；
(5) second level amplification is carried out to signal；
(6) signal is subjected to A/D conversion；
(7) data will have been obtained and online signal processor is reached by bluetooth.
4. the brain control input method described in accordance with the claim 1 based on Steady State Visual Evoked Potential and Mental imagery, feature exist
In the online EEG Processing refers to:
1) the two class EEG signals as transmitted by bluetooth are received by serial ports；
2) fast fourier transform algorithm embedded by two digital signal processors by two class EEG signals by time-frequency from
Scattered signal is converted into the continuous signal of frequency domain, calculates the power spectral density of signal as feature according to Paasche Wa Er theorem；
Wherein the calculation formula of Paasche Wa Er theorem is as follows:
In formula: the power spectral density of P (k) representation signal, signal length N, | X (k) |2For the frequency spectrum energy of k sampled point of signal
Amount；
3) by two category feature result composition characteristic vectors, the Canonical Correlation Analysis embedded using digital signal processor is to brain
Electrical feature carries out pattern-recognition；
4) by mcu programming, pattern recognition result is matched with each key assignments, it will control by bluetooth serial ports communication
Instruction output realizes that the character of Human computer interface such as show at functions, completion man-machine interaction's closed loop control to the end PC virtual serial port
System.
5. the brain control input method described in accordance with the claim 1 based on Steady State Visual Evoked Potential and Mental imagery, feature exist
In the 13 virtual key functions and corresponding key assignments mapping in the vision induced input interface are as follows:
(1) it closes vocabulary association area's function and corresponds to key assignments 1；
(2) character ABC/DEF/GHI/JKL/MNO/PQRS/TUV/WXYZ respectively corresponds key assignments 2/3/4/5/6/7/8/9；
(3) it moves to left key and corresponds to key assignments 10；
(4) character keys are deleted and corresponds to key assignments 11；
(5) it moves to right key and corresponds to key assignments 12；
(6) confirmation selection key corresponds to key assignments 13.
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| CN110442244A (en) * | 2019-08-22 | 2019-11-12 | 中国农业大学 | A kind of reality-virtualizing game exchange method and system based on brain-computer interface |
| CN110688013A (en) * | 2019-10-11 | 2020-01-14 | 南京邮电大学 | English keyboard spelling system and method based on SSVEP |
| CN113157100A (en) * | 2021-01-04 | 2021-07-23 | 河北工业大学 | Brain-computer interface method for adding Chinese character reading and motor imagery tasks |
| CN113568503A (en) * | 2021-07-21 | 2021-10-29 | 复旦大学 | Communication system based on steady-state visual evoked potential |
| CN113672082A (en) * | 2021-07-12 | 2021-11-19 | 华南理工大学 | Multi-channel brain-computer interface system with high common-mode rejection ratio and low power consumption for electroencephalogram acquisition |
| CN114145756A (en) * | 2021-12-15 | 2022-03-08 | 电子科技大学中山学院 | Cooperative robot control method, apparatus and computer readable storage medium |
| CN114237385A (en) * | 2021-11-22 | 2022-03-25 | 中国人民解放军军事科学院军事医学研究院 | Human-computer brain control interaction system based on non-invasive electroencephalogram signals |
| US11684301B1 (en) | 2022-01-14 | 2023-06-27 | Toyota Motor Engineering & Manufacturing North America, Inc. | Methods, systems, and non-transitory computer-readable mediums for SSVEP detection |
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