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 PDF

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Publication number
CN110286757A
CN110286757A CN201910514668.0A CN201910514668A CN110286757A CN 110286757 A CN110286757 A CN 110286757A CN 201910514668 A CN201910514668 A CN 201910514668A CN 110286757 A CN110286757 A CN 110286757A
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brain
module
eeg signals
mixed reality
signal
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李奇
王太越
高宁
武岩
杨菁菁
李修军
吴景龙
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Changchun University of Science and Technology
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Changchun University of Science and Technology
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/015Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2203/00Indexing scheme relating to G06F3/00 - G06F3/048
    • G06F2203/01Indexing scheme relating to G06F3/01
    • G06F2203/012Walk-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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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Neurosurgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurology (AREA)
  • Health & Medical Sciences (AREA)
  • Dermatology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • User Interface Of Digital Computer (AREA)

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

A kind of wearable brain machine interface system and control method based on mixed reality
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.
CN201910514668.0A 2019-06-14 2019-06-14 A kind of wearable brain machine interface system and control method based on mixed reality Pending CN110286757A (en)

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CN111419227A (en) * 2020-04-16 2020-07-17 江西科技学院 Electroencephalogram signal acquisition system and control method thereof
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CN112315487A (en) * 2020-11-26 2021-02-05 山东大学 Novel electroencephalogram signal acquisition system and method
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Publication number Priority date Publication date Assignee Title
CN110947076A (en) * 2019-11-27 2020-04-03 华南理工大学 Intelligent brain wave music wearable device capable of adjusting mental state
CN111419227A (en) * 2020-04-16 2020-07-17 江西科技学院 Electroencephalogram signal acquisition system and control method thereof
CN111543986A (en) * 2020-05-12 2020-08-18 清华大学 Electroencephalogram event synchronization method without hardware connection
CN111543986B (en) * 2020-05-12 2021-03-02 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
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