CN1776572A - Computer man-machine interacting method based on steady-state vision induced brain wave - Google Patents

Computer man-machine interacting method based on steady-state vision induced brain wave Download PDF

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Publication number
CN1776572A
CN1776572A CN 200510126358 CN200510126358A CN1776572A CN 1776572 A CN1776572 A CN 1776572A CN 200510126358 CN200510126358 CN 200510126358 CN 200510126358 A CN200510126358 A CN 200510126358A CN 1776572 A CN1776572 A CN 1776572A
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computer
frequency
brain wave
mouse
brain
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张志广
高上凯
高小榕
洪波
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Tsinghua University
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Tsinghua University
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Abstract

The invention belongs to neuro engineering in biomedical engineering. The method includes following steps: placing brain electrode on scalp of testee; using blinker light in different frequency to stimulate testee; making scalp of testee generate brain wave in same frequency and harmonic component; through amplification, brain wave is converted to digital signal, which is sent to computer; computer analyzes and detects main frequency component; based on coincidence relation list between frequency of brain wave and mouse action or control command, the method sends mouse action or control command corresponding to flash concentrated by testee so as to realize interactive interface between human brain-computer. The invention can help handicapped person to use computer, or normal person in situation of not convenient to use hand to operate computer, for example astronaut in airship or space capsule.

Description

Computer man-machine interacting method based on steady-state vision induced brain wave
Technical field
The present technique invention belongs to neuroengineering technical field in the biomedical engineering.
Background technology
About studies show that and confirm of people's cranial nerve and brain electricity science, the flicker of the light of certain frequency (5-50 time/second) or the visual stimulus of motion, in brain electricity (EEG), can bring out the electric signal of same frequency and harmonic components thereof.According to this important physiological characteristic, extract the EEG signals of some frequency visual stimulus, through coded combination, can generate multiple or complicated control electric signal.
(Brain-Computer Interface BCI) is neural engineering, rehabilitation project, a biomedical engineering field research focus in recent years to brain-machine interface.Its starting point provides a kind of brain and extraneous directly communication channel, and is no longer dependent on traditional interactive mode of passing through limb action.According to aforesaid principle, (Visual EvokedPotential, EEG signals VEP) are approach that realizes this purpose to utilize VEP.
Powerful calculating, control and the communication function of computing machine is on record.The operation of current computer mainly is to realize by the mutual of staff operation keyboard, mouse and display screen.Based on the computer interactive control method of brain-machine interfacing, then replace the operation of limbs to keyboard in kind, mouse with EEG signals, realize the interactive interface of human brain-computing machine.This man-machine interaction mode both can help the disabled person to use a computer, and also can be used for normal person inconvenience with the occasion of manual manipulation computing machine (as the cosmonaut in airship or space storehouse).
Summary of the invention
What the present invention designed is a kind of computer man-machine interacting method based on the stable state vision inducting brain electricity.
The invention is characterized in that described method contains following steps successively:
Step 1 is installed in the position (seeing accompanying drawing 2) of subject's scalp occipital protuberance to electrode for encephalograms, reference electrode is positioned on ear, ground-electrode ground connection;
Flashing icon on the step 2 usefulness computer screen limit is as the flasher of different frequency, the passage of scintillation light that this light source sends stimulates the subject, the flicker frequency correspondence of every kind of light source a control signal passage in the computing machine, an or action command of mouse, or direct control signal, the flicker frequency of various light sources has nothing in common with each other, and its flicker frequency is chosen between 5~50 hertz;
When step 3 is absorbed in the light source of a kind of flicker frequency in the step 2 as the subject, on scalp, just can induce brain wave with this light source same frequency and harmonic components thereof;
Electrode for encephalograms in step 4 step 1 collects after this stable state vision stimulates the brain electricity electric wave that is brought out, this brain electricity electric wave is passed through amplifier, A/D converter successively, send into the signal input end of described computing machine by USB or other general input port, change into the control command of computer mouse or keyboard
Step 41 detects the main frequency composition by the EEG signals of input computing machine;
Step 42 is found the action classification of mouse or keyboard according to the brain wave frequency of detected main frequency composition and setting and the mapping table of mouse or keyboard action, exports corresponding mouse or keyboard action.
Experiment shows, this method can realize effectively with brain wave control computer mouse moving and command operation, the highest rate of information transmission can reach 40 bits/minute, on average can reach 25 bits/minute.
The characteristics of this method are to break through traditional computer man-machine interacting mode, extract people's vision induced brain electricity, and the electrical brain activity information translation is become the control electric signal, realize the operation to computing machine thus, or to control panel, the control and the operation of device etc.This system and device have the major application meaning at numerous areas, both can help the disabled person to use a computer, and also can be used for normal person inconvenience with the occasion of manual manipulation computing machine (as the cosmonaut in airship or space storehouse).
Description of drawings
Fig. 1 program flow chart of the present invention.
Fig. 2 electrode for encephalograms location drawing.
Fig. 3 is presented at the icon of the different flicker frequencies of computer screen periphery.
The corresponding relation example of Fig. 4 screen-icon and mouse action.
Embodiment
With the control examples of this method realization, can realize by following steps to computer mouse:
(1) generate 8 different icons at the computer screen periphery, its flicker frequency is respectively the 8-15 hertz.The corresponding control signal passage of each icon, or an action command of mouse, or direct control signal (referring to accompanying drawing 3, accompanying drawing 4);
(2) electrode for encephalograms is installed in the position (O1 in the accompanying drawing 2, O2 or near position) of experimenter's scalp supraoccipital bone knuckle, gathers experimenter's EEG signals thus, after general eeg amplifier digital-to-analog conversion, send into computing machine by the USB mouth;
(3) adopt general fast fourier transform or other frequency spectrum analysis method, detect the main frequency ingredient f in the vision inducting brain electricity;
(4) according to the mapping table (seeing accompanying drawing 4) of detected frequency f and brain wave frequency and mouse action, computing machine carries out mouse moving and command operation in view of the above.Realization is to the control and the application of computing machine, as typewriting, drawing and browsing page etc.;
(5) setting of icon 8 " ESC Escape " in the accompanying drawing 4 can allow the experimenter select to withdraw from computer program of the present invention, gets back to normal computer operation mode.Can be used for selecting to withdraw from control during external unit in control.

Claims (3)

1. based on the computer man-machine interacting method of steady-state vision induced brain wave, it is characterized in that described method contains following steps successively:
Step 1 is installed in the position of subject's scalp occipital protuberance to electrode for encephalograms, reference electrode is positioned on ear, ground-electrode ground connection;
Flashing icon on the step 2 usefulness computer screen limit is as the flasher of different frequency, the passage of scintillation light that this light source sends stimulates the subject, the flicker frequency correspondence of every kind of light source a control signal passage in the computing machine, an or action command of mouse, or direct control signal, the flicker frequency of various light sources has nothing in common with each other, and its flicker frequency is chosen between 5~50 hertz;
When step 3 is absorbed in the light source of a kind of flicker frequency in the step 2 as the subject, on scalp, just can induce brain wave with this light source same frequency and harmonic components thereof;
Electrode for encephalograms in step 4 step 1 collects after this stable state vision stimulates the brain electricity electric wave that is brought out, this brain electricity electric wave is passed through amplifier, A/D converter successively, send into the signal input end of described computing machine by USB or other general input port, change into the control command of computer mouse or keyboard
Step 41 detects the main frequency composition by the EEG signals of input computing machine;
Step 42 is found the action classification of mouse or keyboard according to the brain wave frequency of detected main frequency composition and setting and the mapping table of mouse or keyboard action, exports corresponding mouse or keyboard action.
2. the computer man-machine interacting method based on steady-state vision induced brain wave according to claim 1, the flasher that it is characterized in that described different frequency are the icons of the different frequency flicker of computer screen periphery.
3. the computer man-machine interacting method based on steady-state vision induced brain wave according to claim 1 is characterized in that the described control signal of step 4. directly exported by the output port of described computing machine, is used to control other peripheral devices.
CN 200510126358 2005-12-08 2005-12-08 Computer man-machine interacting method based on steady-state vision induced brain wave Pending CN1776572A (en)

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Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101980106A (en) * 2010-10-15 2011-02-23 华南理工大学 Two-dimensional cursor control method and device for brain-computer interface
CN101576772B (en) * 2009-05-14 2011-07-27 天津工程师范学院 Brain-computer interface system based on virtual instrument steady-state visual evoked potentials and control method thereof
CN102309380A (en) * 2011-09-13 2012-01-11 华南理工大学 Intelligent wheelchair based on multimode brain-machine interface
CN102426481A (en) * 2011-11-03 2012-04-25 深圳Tcl新技术有限公司 Method, device and system for remote control based on brain waves
CN102426768A (en) * 2011-08-16 2012-04-25 海尔集团公司 System for controlling electronic equipment base on body electric waves, and method thereof
CN102609618A (en) * 2012-02-07 2012-07-25 清华大学 Method for calculating brain asymmetric index based on information flow gain
CN102722244A (en) * 2012-05-25 2012-10-10 西安交通大学 Steady-state evoked potential brain-computer interface method based on motion turning vision sensing
CN102799274A (en) * 2012-07-17 2012-11-28 华南理工大学 Method of asynchronous brain switch based on steady state visual evoked potentials
CN102945078A (en) * 2012-11-13 2013-02-27 深圳先进技术研究院 Human-computer interaction equipment and human-computer interaction method
CN103076881A (en) * 2013-01-18 2013-05-01 哈尔滨工业大学深圳研究生院 Multimedia on-demand method and system based on brain wave signals
CN103246344A (en) * 2012-02-02 2013-08-14 联想(北京)有限公司 Method for controlling electronic device and electronic device
CN103699226A (en) * 2013-12-18 2014-04-02 天津大学 Tri-modal serial brain-computer interface method based on multi-information fusion
CN105942975A (en) * 2016-04-20 2016-09-21 西安电子科技大学 Stable state visual sense induced EEG signal processing method
CN106155329A (en) * 2016-09-06 2016-11-23 西安交通大学 Steady-state induced current potential brain-machine interface method based on reciprocally swinging visually-perceptible
CN106468952A (en) * 2016-09-06 2017-03-01 西安交通大学 Stable state of motion Evoked ptential brain-machine interface method based on rotation visually-perceptible
CN106468953A (en) * 2016-09-06 2017-03-01 西安交通大学 The stable state of motion Evoked ptential brain-machine interface method of screw visually-perceptible
CN108470182A (en) * 2018-01-23 2018-08-31 天津大学 A kind of brain-computer interface method enhanced for asymmetric brain electrical feature with identification
US10155121B2 (en) 2012-08-25 2018-12-18 National Chiao Tung University Stimuli generating methods, devices and control systems to induce visual evoked potentials using imperceptible flickering multi-color lights
CN114594852A (en) * 2020-12-07 2022-06-07 北京小米移动软件有限公司 Control method and device for electronic equipment, electronic equipment and storage medium
CN114594854A (en) * 2020-12-07 2022-06-07 北京小米移动软件有限公司 Control method and device for electronic equipment, electronic equipment and storage medium

Cited By (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101576772B (en) * 2009-05-14 2011-07-27 天津工程师范学院 Brain-computer interface system based on virtual instrument steady-state visual evoked potentials and control method thereof
CN101980106A (en) * 2010-10-15 2011-02-23 华南理工大学 Two-dimensional cursor control method and device for brain-computer interface
CN101980106B (en) * 2010-10-15 2012-08-08 华南理工大学 Two-dimensional cursor control method and device for brain-computer interface
CN102426768A (en) * 2011-08-16 2012-04-25 海尔集团公司 System for controlling electronic equipment base on body electric waves, and method thereof
CN102426768B (en) * 2011-08-16 2016-02-10 海尔集团公司 The system and method for electronic equipment is controlled based on body electric wave
CN102309380A (en) * 2011-09-13 2012-01-11 华南理工大学 Intelligent wheelchair based on multimode brain-machine interface
CN102426481A (en) * 2011-11-03 2012-04-25 深圳Tcl新技术有限公司 Method, device and system for remote control based on brain waves
CN102426481B (en) * 2011-11-03 2015-02-04 深圳Tcl新技术有限公司 Method, device and system for remote control based on brain waves
CN103246344A (en) * 2012-02-02 2013-08-14 联想(北京)有限公司 Method for controlling electronic device and electronic device
CN102609618A (en) * 2012-02-07 2012-07-25 清华大学 Method for calculating brain asymmetric index based on information flow gain
CN102609618B (en) * 2012-02-07 2015-01-14 清华大学 Method for calculating brain asymmetric index based on information flow gain
CN102722244A (en) * 2012-05-25 2012-10-10 西安交通大学 Steady-state evoked potential brain-computer interface method based on motion turning vision sensing
CN102722244B (en) * 2012-05-25 2014-10-15 西安交通大学 Steady-state evoked potential brain-computer interface method based on motion turning vision sensing
CN102799274B (en) * 2012-07-17 2015-04-22 华南理工大学 Method of asynchronous brain switch based on steady state visual evoked potentials
CN102799274A (en) * 2012-07-17 2012-11-28 华南理工大学 Method of asynchronous brain switch based on steady state visual evoked potentials
US10155121B2 (en) 2012-08-25 2018-12-18 National Chiao Tung University Stimuli generating methods, devices and control systems to induce visual evoked potentials using imperceptible flickering multi-color lights
CN102945078A (en) * 2012-11-13 2013-02-27 深圳先进技术研究院 Human-computer interaction equipment and human-computer interaction method
CN103076881A (en) * 2013-01-18 2013-05-01 哈尔滨工业大学深圳研究生院 Multimedia on-demand method and system based on brain wave signals
CN103699226A (en) * 2013-12-18 2014-04-02 天津大学 Tri-modal serial brain-computer interface method based on multi-information fusion
CN103699226B (en) * 2013-12-18 2016-08-24 天津大学 A kind of three mode serial brain-computer interface methods based on Multi-information acquisition
CN105942975A (en) * 2016-04-20 2016-09-21 西安电子科技大学 Stable state visual sense induced EEG signal processing method
CN106468953A (en) * 2016-09-06 2017-03-01 西安交通大学 The stable state of motion Evoked ptential brain-machine interface method of screw visually-perceptible
CN106468952A (en) * 2016-09-06 2017-03-01 西安交通大学 Stable state of motion Evoked ptential brain-machine interface method based on rotation visually-perceptible
CN106155329A (en) * 2016-09-06 2016-11-23 西安交通大学 Steady-state induced current potential brain-machine interface method based on reciprocally swinging visually-perceptible
CN106155329B (en) * 2016-09-06 2019-01-08 西安交通大学 Steady-state induced current potential brain-computer interface method based on reciprocally swinging visual perception
CN106468953B (en) * 2016-09-06 2019-02-26 西安交通大学 The stable state of motion Evoked ptential brain-computer interface method of screw visual perception
CN106468952B (en) * 2016-09-06 2019-02-26 西安交通大学 Stable state of motion Evoked ptential brain-computer interface method based on rotation visual perception
CN108470182A (en) * 2018-01-23 2018-08-31 天津大学 A kind of brain-computer interface method enhanced for asymmetric brain electrical feature with identification
CN108470182B (en) * 2018-01-23 2022-04-29 天津大学 Brain-computer interface method for enhancing and identifying asymmetric electroencephalogram characteristics
CN114594852A (en) * 2020-12-07 2022-06-07 北京小米移动软件有限公司 Control method and device for electronic equipment, electronic equipment and storage medium
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CN114594854B (en) * 2020-12-07 2024-07-02 北京小米移动软件有限公司 Electronic equipment control method and device, electronic equipment and storage medium

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