CN107748622A - A kind of Steady State Visual Evoked Potential brain-machine interface method based on face perception - Google Patents
A kind of Steady State Visual Evoked Potential brain-machine interface method based on face perception Download PDFInfo
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Abstract
The present invention relates to a kind of Steady State Visual Evoked Potential brain-machine interface method based on face perception, its technical characterstic is：Using the EEG signals of brain wave acquisition equipment record user, by EEG signals real-time Transmission to calculating computer；Stimulate computer using face perception coding method as Steady State Visual Evoked Potential induction mode and produce stimulus sequence；Multiple different frequency of stimulation are produced according to above-mentioned stimulus sequence, and multiple different target blocks are separately encoded out with these frequency of stimulation；Calculate computer to pre-process the EEG signals of acquisition, frequency identification is carried out to the EEG signals of pretreatment using brain electricity decoding algorithm；Control command corresponding to the frequency content of identification is exported to feedback computer.The face information of happiness expression is introduced into visual stimulus by the present invention, can strengthen user's vision attention, improves the signal to noise ratio of institute's induced response, improves the performance of Steady State Visual Evoked Potential brain-computer interface, so as to be to promote brain-computer interface practicalization to lay the foundation.
Description
Technical field
The invention belongs to brain-computer interface technical field, especially a kind of Steady State Visual Evoked Potential based on face perception
Brain-computer interface method.
Background technology
Steady State Visual Evoked Potential brain-computer interface is because of less training time, rate of information transmission easy to use and higher
And receive much concern.At present, frequency coding is to build the most commonly used method of Steady State Visual Evoked Potential brain-computer interface.This kind of
In system, user need to only watch multiple some object block flashed in blocks by different stimulated frequency coding attentively, pass through to analyze and remember
The Steady State Visual Evoked Potential signal of record may recognize that the object block that user is watched attentively.In this way, stable state vision lures
The intention of brain activity can be converted directly into the order by frequency of stimulation coding and be set for outside by generating position brain-computer interface
Standby control.
Visual stimulus is the indispensable part of Steady State Visual Evoked Potential brain-computer interface.Visual stimulus can pass through hair
Optical diode or computer display are presented.Compared to light emitting diode, computer display mainly by software development and
It is easily achieved and there are more selections on the stimulation parameters such as color, size and number.Pass through convenient divider however, working as
When method realizes frequency of stimulation on a computer display, can caused by frequency of stimulation be limited to computer refresh rate, i.e. institute
Caused frequency of stimulation allows for being divided exactly by computer display.Therefore, researcher seeks more particularly suitable method and presented to regard
Feeling stimulates.On the one hand, researcher is attempted using less frequency of stimulation coding more multiple target, so as to improve stable state vision inducting electricity
Position brain-computer interface performance the, for example, Chinese patent " stable state vision inducting brain-machine interface based on two frequency stimulation of left and right view field
Method " (200910076209.5), " a kind of Steady State Visual Evoked Potential brain-computer interface method of multi-frequency sequential combination "
And " SSVEP-BCI system multi-frequencies arranging and encoding and recognition methods " (201110376669.7) (201010191598.9).
On the other hand, researcher attempts the response using new coding method enhancing Steady State Visual Evoked Potential, improves stable state vision and lures
The frequency identification of generating position, and then improve the performance of system.But the above method is still difficult to the signal to noise ratio for improving induced response
And the performance of Steady State Visual Evoked Potential brain-computer interface.
The content of the invention
It is overcome the deficiencies in the prior art the mesh of the present invention, proposes a kind of reasonable in design, induced response signal to noise ratio height
And the Steady State Visual Evoked Potential brain-computer interface method based on face perception of stable performance.
The present invention solves its technical problem and takes following technical scheme to realize：
A kind of Steady State Visual Evoked Potential brain-computer interface method based on face perception, comprises the following steps：
Step 1, the EEG signals for recording using brain wave acquisition equipment user, by EEG signals real-time Transmission to calculating electricity
Brain；
Step 2, stimulate computer using face perception coding method as Steady State Visual Evoked Potential induction mode simultaneously
Produce stimulus sequence；
Step 3, multiple different frequency of stimulation are produced according to above-mentioned stimulus sequence, and be separately encoded with these frequency of stimulation
Go out multiple different target blocks；
Step 4, user watch any one of the multiple different target block attentively, while stimulate computer to be sent out to brain wave acquisition equipment
A synchronous triggering signal is sent, synchronous triggering signal is recorded in the event channel synchronous with EEG signals by brain wave acquisition equipment
In；Calculate computer to pre-process the EEG signals of acquisition, the EEG signals of pretreatment are carried out using brain electricity decoding algorithm
Frequency identification；Control command corresponding to the frequency content of identification is exported to feedback computer.
The brain wave acquisition equipment includes measuring electrode, ground electrode and reference electrode, and the measuring electrode is placed in user
Brain occipital region PO7, PO5, PO3, POz, PO4, PO6, PO8, O1, Oz, O2 position, measuring electrode distribution meet international 10-20 systems
System；The ground electrode is placed in FPz opening positions, and the reference electrode lays Cz opening positions overhead.
The step 2 is as follows using the coding method of face perception：
Frequency of stimulation is f stimulus sequence：Wherein square ()
Square-wave signal is produced, R is display refresh rate, and i is frame index；
Frequency of stimulation is that f stimulus sequence is made up of 0 and 1；The frame of 1 position correspondence occurred is presented glad in stimulus sequence
The facial image of expression, and the gray image that rgb value is 128,128,128 is then presented in the frame of 0 position correspondence occurred.
The step 4 calculates computer：
(1) eeg data is divided into by the related data segment of multiple events according to the Event trigger of stimulation programs；
(2) 50Hz traps are carried out to data segment to filter out Hz noise；
(3) the down-sampled processing of 250Hz is carried out to the data segment for removing Hz noise；
(4) 1~70Hz bandpass filterings are carried out to down-sampled data.
The method that the step 4 carries out frequency identification to the EEG signals of pretreatment is：Bandpass filtered signal is calculated respectively
The canonical correlation coefficient of sine and cosine reference signal corresponding with each frequency of stimulation, so as to obtain multiple maximum correlation coefficients, wherein
Frequency is the frequency identified corresponding to maximum coefficient, and its corresponding object block is the object block that user watches attentively.
The advantages and positive effects of the present invention are：
1st, the refresh rate of the invention based on computer display, the accurate brightness for controlling display per frame facial image, makes
It changes according to the similar square wave sequence of a certain specific frequency；The multiple leads in brain occipital region are recorded by brain wave acquisition equipment
EEG signals, the frequency identification of Steady State Visual Evoked Potential is realized using Canonical Correlation Analysis, so as to identify user institute
The object block watched attentively, the present invention induces Steady State Visual Evoked Potential compared to traditional dependent on monochrome information, except comprising bright
Degree information is also added into face information, can strengthen the response of Steady State Visual Evoked Potential, and then improve the property of brain-computer interface
Energy.
2nd, the face information of happiness expression is introduced into visual stimulus by the present invention, can strengthen user's vision attention, is improved
The signal to noise ratio of institute's induced response, the performance of Steady State Visual Evoked Potential brain-computer interface is improved, so as to be promotion brain-computer interface reality
Laid the foundation with change process.
3rd, the present invention can realize less than half any frequency of stimulation of refresh rate on a computer display, can be such as
The stable state vision inducting electricity of rehabilitation based on neural feedback, the clinical practice dependent on Steady State Visual Evoked Potential and robust
The neural engineer applieds such as position brain-computer interface provide more efficiently stimulating method, have important theoretical research and application value.
Brief description of the drawings
Fig. 1 is the electrode for encephalograms location drawing；
Fig. 2 is happiness expression facial image used in the present invention and gray image；
Fig. 3 is the distribution schematic diagram of 4 targets of the invention provided on a computer display；
Fig. 4 is stimulus sequence corresponding to 4 frequency of stimulation of the invention provided.
Embodiment
The embodiment of the present invention is further described below in conjunction with accompanying drawing.
A kind of Steady State Visual Evoked Potential brain-computer interface method based on face perception, comprises the following steps：
Step 1, the EEG signals for recording using brain wave acquisition equipment user, by its real-time Transmission to calculating computer.
In this step, brain wave acquisition equipment includes measuring electrode, ground electrode and reference electrode, and the measuring electrode is laid
In user's brain occipital region PO7, PO5, PO3, POz, PO4, PO6, PO8, O1, Oz, O2 position, measuring electrode distribution meets the world
10-20 systems；The ground electrode is placed in FPz opening positions, and the reference electrode lays Cz opening positions overhead, as shown in Figure 1.
Amplified given with real-time Transmission after analog-to-digital conversion of EEG signals that each electrode measures calculates computer.
Step 2, stimulate computer using face perception coding method as Steady State Visual Evoked Potential induction mode simultaneously
Produce stimulus sequence.The coding method is：
Frequency of stimulation is f stimulus sequence：Wherein square ()
Square-wave signal is produced, R is display refresh rate (60Hz), and i is frame index.Therefore, frequency of stimulation is f stimulus sequence by 0 and 1
Composition.The facial image of the frame presentation happiness expression of 1 position correspondence occurred in stimulus sequence, and 0 position correspondence occurred
The gray image that rgb value is (128,128,128) is then presented in frame, as shown in Figure 2.These targets are presented in computer display
Middle section.
Step 3, according to above-mentioned stimulus sequence produce 4 different frequency of stimulation, respectively 8,9,10,11Hz, such as Fig. 3 institutes
Show, and 4 different target blocks are separately encoded out with these frequency of stimulation, as shown in Figure 4.Then perform according to the following steps：
Step 4, user watch any one of the multiple different target block attentively, while stimulate computer to be sent out to brain wave acquisition equipment
A synchronous triggering signal is sent, synchronous triggering signal is recorded in the event channel synchronous with EEG signals by brain wave acquisition equipment
In；Calculate computer to pre-process the EEG signals of acquisition, the EEG signals of pretreatment are carried out using brain electricity decoding algorithm
Frequency identification；Control command corresponding to the frequency content of identification is exported to feedback computer.Specific method is as follows：
Step 41, user watches any one in 4 targets attentively, while stimulates computer parallel port to be sent out to brain wave acquisition equipment
A synchronous triggering signal is sent, synchronous triggering signal is recorded in the event channel synchronous with EEG signals by brain wave acquisition equipment
In.
Step 42, signal transacting is carried out to the response signal：According to synchronous triggering signal, first to electrode record
EEG signals are segmented；Secondly 50Hz traps are carried out to data segment to filter out Hz noise；Data to removing Hz noise
The down-sampled processing of Duan Jinhang 250Hz；1~70Hz bandpass filterings are carried out to down-sampled data；
Step 43, carry out frequency identification process：For 4 frequency of stimulation, bandpass filtered signal and this 4 thorns are calculated respectively
The canonical correlation coefficient of sine and cosine reference signal corresponding to frequency is swashed, so as to obtain 4 maximum correlation coefficients, according to obtained by calculating
The coefficient correlation size, judge the target that user is watched attentively, i.e., corresponding to maximum correlation coefficient frequency be identify
Frequency, its corresponding object block is the object block that user watches attentively.
Step 44, stimulate computer to carry out corresponding vision and audio feedback according to the target detected to prompt, by identification
Control command corresponding to frequency content is exported to feedback computer.
Step 45, after stimulating computer to complete target identification, return to step 41, repeat step 41 to step 44, carry out next
Secondary object recognition task.
It is emphasized that embodiment of the present invention is illustrative, rather than it is limited, therefore present invention bag
Include and be not limited to embodiment described in embodiment, it is every by those skilled in the art's technique according to the invention scheme
The other embodiment drawn, also belongs to the scope of protection of the invention.
Claims (5)
1. a kind of Steady State Visual Evoked Potential brain-computer interface method based on face perception, it is characterised in that comprise the following steps：
Step 1, the EEG signals for recording using brain wave acquisition equipment user, by EEG signals real-time Transmission to calculating computer；
Step 2, stimulate computer using face perception coding method as Steady State Visual Evoked Potential induction mode and produce
Stimulus sequence；
Step 3, multiple different frequency of stimulation are produced according to above-mentioned stimulus sequence, and be separately encoded out with these frequency of stimulation more
Individual different target block；
Step 4, user watch any one of the multiple different target block attentively, while stimulate computer to send one to brain wave acquisition equipment
Synchronous triggering signal is recorded in the event channel synchronous with EEG signals by individual synchronous triggering signal, brain wave acquisition equipment；Meter
Calculate computer to pre-process the EEG signals of acquisition, using brain electricity decoding algorithm the EEG signals of pretreatment are entered with line frequency knowledge
Not；Control command corresponding to the frequency content of identification is exported to feedback computer.
2. a kind of Steady State Visual Evoked Potential brain-computer interface method based on face perception according to claim 1, it is special
Sign is：The brain wave acquisition equipment includes measuring electrode, ground electrode and reference electrode, and it is big that the measuring electrode is placed in user
Brain occipital region PO7, PO5, PO3, POz, PO4, PO6, PO8, O1, Oz, O2 position, measuring electrode distribution meet international 10-20 systems；
The ground electrode is placed in FPz opening positions, and the reference electrode lays Cz opening positions overhead.
3. a kind of Steady State Visual Evoked Potential brain-computer interface method based on face perception according to claim 1, it is special
Sign is：The step 2 is as follows using the coding method of face perception：
Frequency of stimulation is f stimulus sequence：Wherein square () is produced
Square-wave signal, R are display refresh rate, and i is frame index；
Frequency of stimulation is that f stimulus sequence is made up of 0 and 1；Happiness expression is presented in the frame of 1 position correspondence occurred in stimulus sequence
Facial image, and 0 occur position correspondence frame then present rgb value be 128,128,128 gray image.
4. a kind of Steady State Visual Evoked Potential brain-computer interface method based on face perception according to claim 1, it is special
Sign is：The step 4 calculates computer：
(1) eeg data is divided into by the related data segment of multiple events according to the Event trigger of stimulation programs；
(2) 50Hz traps are carried out to data segment to filter out Hz noise；
(3) the down-sampled processing of 250Hz is carried out to the data segment for removing Hz noise；
(4) 1~70Hz bandpass filterings are carried out to down-sampled data.
5. a kind of Steady State Visual Evoked Potential brain-computer interface method based on face perception according to claim 1, it is special
Sign is：The method that the step 4 carries out frequency identification to the EEG signals of pretreatment is：Respectively calculate bandpass filtered signal with
The canonical correlation coefficient of sine and cosine reference signal corresponding to each frequency of stimulation, so as to obtain multiple maximum correlation coefficients, wherein most
Frequency corresponding to big coefficient is the frequency identified, and its corresponding object block is the object block that user watches attentively.
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Cited By (9)
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| CN109998537A (en) * | 2019-04-11 | 2019-07-12 | 深圳和而泰家居在线网络科技有限公司 | A kind of brain wave electrode switching method, acquiring brain waves component and brain electricity cap |
| CN110413116A (en) * | 2019-07-24 | 2019-11-05 | 西安交通大学 | A kind of Steady State Visual Evoked Potential brain-computer interface design method based on FPGA |
| CN111543986A (en) * | 2020-05-12 | 2020-08-18 | 清华大学 | Electroencephalogram event synchronization method without hardware connection |
| CN111694425A (en) * | 2020-04-27 | 2020-09-22 | 中国电子科技集团公司第二十七研究所 | Target identification method and system based on AR-SSVEP |
| CN112817451A (en) * | 2021-01-28 | 2021-05-18 | 清华大学 | Multi-target positioning method and device based on steady-state visual evoked potential |
| CN113288181A (en) * | 2021-06-21 | 2021-08-24 | 杭州电子科技大学 | Individual template reconstruction method based on steady-state visual evoked potential electroencephalogram signal identification |
| 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 |
| CN115268747A (en) * | 2022-07-26 | 2022-11-01 | 中国医学科学院生物医学工程研究所 | Brain-computer interface data processing method and device, electronic equipment and storage medium |
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| CN108985029A (en) * | 2018-06-05 | 2018-12-11 | 中国科学院半导体研究所 | The brain electricity personal identification method of view-based access control model stimulation |
| CN109998537A (en) * | 2019-04-11 | 2019-07-12 | 深圳和而泰家居在线网络科技有限公司 | A kind of brain wave electrode switching method, acquiring brain waves component and brain electricity cap |
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| CN111543986B (en) * | 2020-05-12 | 2021-03-02 | 清华大学 | Electroencephalogram event synchronization method without hardware connection |
| CN112817451A (en) * | 2021-01-28 | 2021-05-18 | 清华大学 | Multi-target positioning method and device based on steady-state visual evoked potential |
| CN113288181A (en) * | 2021-06-21 | 2021-08-24 | 杭州电子科技大学 | Individual template reconstruction method based on steady-state visual evoked potential electroencephalogram signal identification |
| CN113288181B (en) * | 2021-06-21 | 2022-09-27 | 杭州电子科技大学 | Individual template reconstruction method based on steady-state visual evoked potential electroencephalogram signal identification |
| 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 |
| CN115268747A (en) * | 2022-07-26 | 2022-11-01 | 中国医学科学院生物医学工程研究所 | Brain-computer interface data processing method and device, electronic equipment and storage medium |
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