CN110286757A - A kind of wearable brain machine interface system and control method based on mixed reality - Google Patents
A kind of wearable brain machine interface system and control method based on mixed reality Download PDFInfo
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- 210000004556 brain Anatomy 0.000 title claims abstract description 92
- 238000000034 method Methods 0.000 title claims abstract description 13
- 230000000007 visual effect Effects 0.000 claims abstract description 33
- 230000000763 evoking effect Effects 0.000 claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 14
- 238000009499 grossing Methods 0.000 claims abstract description 13
- 210000003710 cerebral cortex Anatomy 0.000 claims abstract description 9
- 230000003321 amplification Effects 0.000 claims abstract description 8
- 238000003199 nucleic acid amplification method Methods 0.000 claims abstract description 8
- 230000005540 biological transmission Effects 0.000 claims description 12
- 238000000605 extraction Methods 0.000 claims description 11
- 230000005611 electricity Effects 0.000 claims description 10
- 239000000284 extract Substances 0.000 claims description 5
- 238000009790 rate-determining step (RDS) Methods 0.000 claims description 4
- 230000001054 cortical effect Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 210000001595 mastoid Anatomy 0.000 claims description 3
- 230000008054 signal transmission Effects 0.000 claims 1
- 230000009467 reduction Effects 0.000 description 9
- 238000001514 detection method Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
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- 230000019771 cognition Effects 0.000 description 2
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- 206010033799 Paralysis Diseases 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000003925 brain function Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
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- 230000001537 neural effect Effects 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 230000004936 stimulating effect Effects 0.000 description 1
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- 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
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/012—Walk-in-place systems for allowing a user to walk in a virtual environment while constraining him to a given position in the physical environment
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Abstract
The present invention relates to brain-computer interface technical fields, and in particular to a kind of wearable brain machine interface system and control method based on mixed reality.The present invention includes visual stimulus module, brain wave acquisition module, brain electric treatment module and signal output module;Visual stimulus module is for providing the mixed reality visual stimulus that can induce event related potential;Brain wave acquisition module is used to acquire the Evoked ptential that cerebral cortex generates under visual stimulus, and acquired Evoked ptential is carried out signal amplification output EEG signals;Brain electric treatment module for the EEG signals received are filtered, smoothing, down-sampled processing, obtain the better EEG signals of performance;Signal output module is used to be further analyzed the signal after processed, and output EEG signals information to be expressed is simultaneously translated into control instruction and is sent to external equipment, control of the realization to external equipment by WiFi.
Description
Technical field
The present invention relates to brain-computer interface technical fields, and in particular to a kind of wearable brain-computer interface based on mixed reality
System and control method.
Background technique
Brain-computer interface (Brain-Computer Interface, BCI) is one kind independent of biological self neural access
With the connection of musculature, the artificial connection access of equipment is established between the brain and external equipment of human or animal.It is related to
It is current brain science research field to the knowledge of the multi-crossed disciplines such as Neuscience, signal detection, signal processing, pattern-recognition
One of hot research problem.Brain-computer interface can provide a kind of and outer as a kind of completely new message-switching technique for people
The new way that boundary is exchanged, especially for there is brain machine for aphasis or severe paralysis but the normal patient of brain function to connect
Port system is the new tunnel interacted they provide one with the external world.
Mixed reality technology (MR) is the further development of virtual reality technology, and the technology in virtual environment by introducing
Reality scene information sets up the information circuits of an interaction feedback between virtual world, real world and user, to enhance use
The sense of reality of family experience.
The more introductions of foreign technology of brain machine interface system domestic at present are only applicable to there is bulky, expensive
The large corporations such as hospital or research institute limit the popular of brain electric equipment so that the application of brain-computer interface technology is more narrow
Development.
Summary of the invention
In order to overcome the shortcomings of that background technique, the present invention provide a kind of wearable brain-computer interface system based on mixed reality
System.
The technical scheme is that including visual stimulus module, brain wave acquisition module, brain electric treatment module and signal
Output module;
Visual stimulus module is for providing the mixed reality visual stimulus that can induce event related potential;
Brain wave acquisition module is used to acquire the Evoked ptential that cerebral cortex generates under visual stimulus, and acquired Evoked ptential is carried out
Signal amplification output EEG signals;
Brain electric treatment module for being filtered to the EEG signals received, noise reduction, smoothing, the processing such as down-sampled, obtain
The better EEG signals of performance;
Signal output module is used to be further analyzed the signal after processing, and exports EEG signals letter to be expressed
It ceases and is translated into control instruction and external equipment is sent to by WIFI, realize the control to external equipment.
Preferably, the visual stimulus module uses HoloLens equipment.
Preferably, the brain wave acquisition module includes brain evoked potentials detection signal acquisition circuit, EEG signals amplification
The dry electrode of device, transmission module, body surface, the brain evoked potentials detection signal acquisition circuit is by the dry electrode of body surface as sensing
Device acquisition extracts the Cortical Evoked Potentials under a certain visual stimulus normal form as original signal, and then original signal is by brain electricity
Brain electric treatment module is transferred to after signal amplifier amplification.
Preferably, the brain electric treatment module includes signal filtering, noise reduction, smoothing, down-sampled function, at the brain electricity
Reason module is filtered the EEG signals received, noise reduction, smoothing, down-sampled processing obtain that distortion rate is low, feature is obvious
EEG signals, the EEG signals handled are transferred to signal output module by the brain electric treatment module.
Preferably, the signal output module is described by characteristic extracting module, Classification and Identification module, WiFi transmission module
Characteristic extracting module carries out feature extraction to the EEG signals handled, and the Classification and Identification module carries out classification and divides output
Class is realized pair as a result, described convert control instruction for WiFi transmission module classification results and be sent to external equipment by WiFi
The control of external equipment.
The controlling party of the object of the invention is also to provide a kind of wearable brain machine interface system based on mixed reality
Method.
The rate-determining steps of control method of the present invention are as follows:
1) user put on HoloLens equipment stare concern Target Acquisition target device image;
2) concern target device type is identified by deep learning, corresponding virtual controlling button is generated around target device;
3) the virtual controlling key provides P300 visual stimulus normal form, to induce subject to preset regular flashing
Head cerebral cortex potential change;
4) the brain wave acquisition module extracts the cerebral cortex induction electricity under the visual stimulus normal form by the dry electrode acquisition of body surface
Position, is transferred to brain electric treatment module after amplifying to original signal;
5) the brain electric treatment module collects that brain evoked potential is filtered, noise reduction, smoothing, drop are adopted to brain wave acquisition module
Sample processing
6) signal output module EEG signals complete to brain electric treatment resume module carry out feature extraction, then the spy to extraction
Sign classify and output category result;
7) control instruction is converted by classification results, external equipment is transferred to by WiFi, realizes the control to external equipment.
Preferably, the brain wave acquisition module chooses 14 electrodes and acquires EEG signals, described using 14 electrode difference
By the position Fz, F3, F4, Cz, C3, C4, Pz, P3, P4, P7, P8, Oz, O1, O2 on 14 channel electrode distribution maps, the brain electricity
Acquisition module, which is chosen, places reference electrode at right mastoid process, the GND is as grounding electrode.
The invention has the advantages that visual stimulus module that is convenient, being easy to carry about with one is provided by HoloLens equipment, and
And the mixed reality technology of HoloLens can merge target device and the formation mixing of virtual controlling command interface in actual environment
Reality allow user receive visual stimulus normal form, while have certain cognition to external environment, set then in conjunction with brain wave acquisition
Standby and WiFi transmission module realizes the portability of brain machine interface system, lighting, and brain machine interface system is enabled to walk out experiment
Room is towards masses.
Detailed description of the invention
Fig. 1 is system module structure chart of the invention.
Fig. 2 is system process for using figure of the invention.
Fig. 3 is brain electrode distribution map of the invention.
Specific embodiment
The embodiment of the present invention is described further below for attached drawing:
As shown in Figure 1-Figure 3, the present embodiment provides a kind of wearable brain machine interface system based on mixed reality, including vision
Stimulating module, brain wave acquisition module, brain electric treatment module and signal output module;
Visual stimulus module is for providing the mixed reality visual stimulus that can induce event related potential;
Brain wave acquisition module is used to acquire the Evoked ptential that cerebral cortex generates under visual stimulus, and acquired Evoked ptential is carried out
Signal amplification output EEG signals;
Brain electric treatment module for being filtered to the EEG signals received, noise reduction, the processing such as smoothing, it is more preferable to obtain performance
EEG signals;
Signal output module is used to be further analyzed the signal after processing, and exports EEG signals letter to be expressed
It ceases and is translated into control instruction and external equipment is sent to by WIFI, realize the control to external equipment.
Visual stimulus module of the invention is more convenient, is easy to carry about with one in order to make, and the visual stimulus module is used
HoloLens equipment, since HoloLens equipment itself has WiFi transmission, can directly with WiFi transmit signal, when user with
Upper HoloLens equipment arbitrarily can go to and replace position, not need to be fixed on a ground as existing equipment on the market
Side, is greatly improved practicability.
The brain wave acquisition module includes that brain evoked potentials detect signal acquisition circuit, Electroencephalo signal amplifier, transmission
The dry electrode of module, body surface, the brain evoked potentials detection signal acquisition circuit are acquired by the dry electrode of body surface as sensor
The Cortical Evoked Potentials under a certain visual stimulus normal form are extracted as original signal, then original signal is put by EEG signals
Brain electric treatment module is transferred to after big device amplification.Directly reduce wired connection using WiFi transmission signal, keeps equipment smaller
Type can be moved arbitrarily.
The brain electric treatment module includes signal filtering, noise reduction, smoothing, down-sampled function, the brain electric treatment module
The EEG signals received are filtered, noise reduction, smoothing, down-sampled processing obtain that distortion rate is low, feature apparent brain electricity
The EEG signals handled are transferred to signal output module by signal, the brain electric treatment module.The frequency of normal EEG signals
Range is 5~35HZ, carries out the processing such as filter high frequency, noise reduction to collected original EEG signals.
The signal output module is by characteristic extracting module, Classification and Identification module, WiFi transmission module, the feature extraction
Module carries out feature extraction to the EEG signals that have handled, and the Classification and Identification module carries out classification and by output category result,
It is described to convert control instruction for WiFi transmission module classification results external equipment is sent to by WiFi, it realizes to external equipment
Control.
The embodiment of the present invention to the model of above-mentioned device with no restrictions, as long as being able to achieve the device of above-mentioned function, tool
When body is realized, set according in practical application.
The present invention provides a kind of control method of wearable brain machine interface system based on mixed reality, directly using upper
A kind of wearable brain machine interface system based on mixed reality stated.
The rate-determining steps of the present embodiment control method are as follows: its rate-determining steps is as follows:
1) user put on HoloLens equipment stare concern Target Acquisition target device image;
2) concern target device type is identified by deep learning, corresponding virtual controlling button is generated around target device;
3) the virtual controlling key provides P300 visual stimulus normal form, to induce subject to preset regular flashing
Head cerebral cortex potential change;
4) the brain wave acquisition module extracts the cerebral cortex induction electricity under the visual stimulus normal form by the dry electrode acquisition of body surface
Position, is transferred to brain electric treatment module after amplifying to original signal;
5) the brain electric treatment module collects that brain evoked potential is filtered, noise reduction, smoothing, drop are adopted to brain wave acquisition module
Sample processing
6) signal output module EEG signals complete to brain electric treatment resume module carry out feature extraction, then the spy to extraction
Sign classify and output category result;
7) control instruction is converted by classification results, external equipment is transferred to by WiFi, realizes the control to external equipment.
Preferably, the brain wave acquisition module chooses 14 electrodes and acquires EEG signals, described using 14 electrode difference
By the position Fz, F3, F4, Cz, C3, C4, Pz, P3, P4, P7, P8, Oz, O1, O2 on 14 channel electrode distribution maps, the brain electricity
Acquisition module, which is chosen, places reference electrode at right mastoid process, the GND is as grounding electrode.
Visual stimulus module that is convenient, being easy to carry about with one is provided by HoloLens equipment, and the mixing of HoloLens is existing
Real technology can merge target device in actual environment and virtual controlling command interface forms mixed reality visual stimulus normal form and allows
User has certain cognition to external environment while receiving visual stimulus, transmits then in conjunction with brain wave acquisition equipment and WiFi
Module realizes the portability of brain machine interface system, lighting, and brain machine interface system is enabled to walk out laboratory towards masses.
The present embodiment is not construed as the limitation to invention, but any based on spiritual improvements introduced of the invention, all should be
Within protection scope of the present invention.
Claims (8)
1. a kind of wearable brain machine interface system based on mixed reality, it is characterised in that: including visual stimulus module, brain electricity
Acquisition module, brain electric treatment module and signal output module;
Visual stimulus module is for providing the mixed reality visual stimulus that can induce event related potential;
Brain wave acquisition module is used to acquire the Evoked ptential that cerebral cortex generates under visual stimulus, and acquired Evoked ptential is carried out
Signal amplification output EEG signals;
Brain electric treatment module for the EEG signals received are filtered, smoothing, down-sampled processing, it is more preferable to obtain performance
EEG signals;
Signal output module is used to be further analyzed the signal after processing, and exports EEG signals letter to be expressed
Breath.
2. a kind of wearable brain machine interface system based on mixed reality according to claim 1, it is characterised in that: described
Visual stimulus module uses HoloLens equipment.
3. a kind of wearable brain machine interface system based on mixed reality according to claim 1, it is characterised in that: described
Brain wave acquisition module includes brain evoked potentials signal acquisition circuit, Electroencephalo signal amplifier, dry electrode, and the brain induces electricity
Position signal acquisition circuit extracts certain Cortical Evoked Potentials as original signal, institute by being mounted on the dry electrode acquisition of body surface
It states Electroencephalo signal amplifier and the original signal amplification of acquisition is transferred to brain electric treatment module by transmission module.
4. a kind of wearable brain machine interface system based on mixed reality according to claim 3, it is characterised in that: described
Transmission module is WiFi transmission module.
5. a kind of wearable brain machine interface system based on mixed reality according to claim 1, it is characterised in that: described
Brain electric treatment module includes signal filtering, smoothing, down-sampled function, and the brain electric treatment module is to the EEG signals received
Be filtered, smoothing, down-sampled processing obtain that distortion rate is low, the apparent EEG signals of feature, the brain electric treatment module will
The EEG signals handled are transferred to signal output module.
6. according to claim 1 to a kind of any one of 5 wearable brain machine interface systems based on mixed reality, feature
Be: the signal output module carries out feature extraction to the EEG signals handled are received from brain electric treatment module, described
Signal output module classify to the feature that EEG signals extract by BLDA algorithm and output category result.
7. according to a kind of any one of claim 1 to 6 wearable brain machine interface system based on mixed reality is utilized
Control method, it is characterised in that: its rate-determining steps is as follows:
1) the visual stimulus module generates mixed reality P300 visual stimulus normal form, induces subject head cerebral cortex current potential
Variation;
2) the brain wave acquisition module is big under the dry electrode acquisition extraction of the body surface P300 visual stimulus normal form by being mounted on
Cortex Evoked ptential is transferred to brain electric treatment module after amplifying to original signal;
3) the brain electric treatment module to brain wave acquisition module collect brain evoked potential be filtered, smoothing, down-sampled place
Reason;
4) signal transmission module EEG signals complete to brain electric treatment resume module carry out feature extraction, then the spy to extraction
Sign is classified, and is output to external equipment by WiFi and is realized control.
8. a kind of control method of the wearable brain machine interface system based on mixed reality according to claim 7, special
Sign is: the brain wave acquisition module chooses 14 electrodes and acquires EEG signals, described to press international 10- respectively using 14 electrodes
The position Fz, F3, F4, Cz, C3, C4, Pz, P3, P4, P7, P8, Oz, O1, O2 on 20 system brain electrode distribution maps, the brain electricity
Acquisition module, which is chosen, places reference electrode at right mastoid process, the GND is as grounding electrode.
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CN111543986A (en) * | 2020-05-12 | 2020-08-18 | 清华大学 | Electroencephalogram event synchronization method without hardware connection |
CN112315487A (en) * | 2020-11-26 | 2021-02-05 | 山东大学 | Novel electroencephalogram signal acquisition system and method |
CN114161414A (en) * | 2021-12-03 | 2022-03-11 | 中国科学院沈阳自动化研究所 | Underwater manipulator control system and method based on electroencephalogram and vision |
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CN112315487A (en) * | 2020-11-26 | 2021-02-05 | 山东大学 | Novel electroencephalogram signal acquisition system and method |
CN114161414A (en) * | 2021-12-03 | 2022-03-11 | 中国科学院沈阳自动化研究所 | Underwater manipulator control system and method based on electroencephalogram and vision |
CN114161414B (en) * | 2021-12-03 | 2023-09-19 | 中国科学院沈阳自动化研究所 | Underwater manipulator control system and method based on electroencephalogram and vision |
CN114185436A (en) * | 2021-12-14 | 2022-03-15 | 江苏集萃脑机融合智能技术研究所有限公司 | Navigation system and device based on visual evoked potential brain-computer interface |
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Application publication date: 20190927 |