CN107291240A - A kind of virtual reality multilevel menu exchange method based on brain-computer interface - Google Patents

A kind of virtual reality multilevel menu exchange method based on brain-computer interface Download PDF

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CN107291240A
CN107291240A CN201710516510.8A CN201710516510A CN107291240A CN 107291240 A CN107291240 A CN 107291240A CN 201710516510 A CN201710516510 A CN 201710516510A CN 107291240 A CN107291240 A CN 107291240A
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brain
interface
selection
characteristic vector
virtual
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CN107291240B (en
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李远清
肖景
瞿军
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South China University of Technology SCUT
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Priority to PCT/CN2018/092392 priority patent/WO2019001360A1/en
Priority to US16/461,576 priority patent/US10838496B2/en
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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
    • 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
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482—Interaction with lists of selectable items, e.g. menus
    • 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
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
    • G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
    • G06F3/04886—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus
    • 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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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Dermatology (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurology (AREA)
  • Neurosurgery (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

A kind of virtual reality multilevel menu exchange method based on brain-computer interface, this method can cause virtual reality system to carry out continuous interactive operation with user.System initialization, is then based on the selection of P300 brain electric control control of Electric potentials first, if word inputs class target, then changing interface is P300 text input interfaces, realizes that word is inputted using P300 signal detections.If not text input class target.Then by P300 brain electric potential information, and virtual reality feedback information judges information type, completes interaction.It is enough that lookup switching is carried out between Text Entry, options, many catalogues, the catalogue bottom, the target selection of progress can be deep into.If word inputs class target, then changing interface is P300 text input interfaces, realizes that word is inputted using P300 signal detections.If not text input class target.Then by P300 brain electric potential information, and virtual reality feedback information judges information type, completes interaction.

Description

A kind of virtual reality multilevel menu exchange method based on brain-computer interface
Technical field
A kind of field of virtual reality of the present invention, and in particular to virtual reality multilevel menu interaction side based on brain-computer interface Method.
Background technology
To help serious physical defective crowd to solve the problems, such as exchange and interdynamic, deliver and led in Wolpaw in 1991 et al. Cross and change the μ rhythm amplitude in EEG signals to control the achievement that cursor is moved, it is proposed that it is a kind of it is brand-new automatically control concept- Brain Drive Control Technique BAC, abbreviation brain electric control, compared with control, Voice command manually, brain is automatically controlled to be made as utilizing brain arteries and veins Rush signal and remove control computer, engine or other devices.Only need to extract related EEG signals, after pretreatment, warp Cross after CRT technology classification, just the entirely different function of computer can be driven by the signal of different classification.Since Since BAC technologies come out, due to the huge application prospect of this technology, patients ' recovery, military exercise, scene mould can apply to Intend etc., the substantial amounts of researcher in various countries has put into huge energy and correlation technique has been studied.
It is particularly directed in the virtual system program for helping crowd's progress exchange and interdynamic defective in body, program It is required to perform different functions, the interface of virtual system program is usually relatively complex, and a virtual system program often has There is multi-gradation manu to correspond to different functions respectively with option mod.How there is multi-gradation manu with functional module at one In virtual system, quickly search for, select and switch, reach specific function selection, be a key issue, to understand Certainly there is provided a kind of virtual reality multilevel menu exchange method based on brain-computer interface for above mentioned problem.
The content of the invention
The present invention in view of the shortcomings of the prior art, proposes a kind of virtual reality multilevel menu interaction side based on brain-computer interface Method, concrete technical scheme is as follows：
A kind of virtual reality multilevel menu exchange method based on brain-computer interface, it is characterised in that：
Using following steps,
Step 1：User puts on brain wave acquisition cap, virtual reality system is opened, into brain-machine interaction interface；
Step 2：At brain-machine interaction interface, generation has different options, one P300 virtual key of each option correspondence, user Select the p300 virtual keys needed；
Step 3：Judge whether the corresponding option of p300 virtual keys is subdirectory, if yes then enter the subdirectory, brain Machine interactive interface is updated to the brain-machine interaction interface of the subdirectory, is handled according to step 2；
Otherwise next step is entered；
Step 4：Whether be text input type, if text input type, then no into next step if judging the option Then, into step 6；
Step 5：Brain-machine interaction changing interface is text input interface, and the selection character of text input interface is P300 empty Intend after the completion of key, user's character input, corresponding function is performed according to input instruction；
Step 6：Perform the function of the option.
To better implement the present invention, it may further be：The step 2 comprises the following steps：
Step 21：At brain-machine interaction interface, generation has different options, one P300 virtual key of each option correspondence；
Step 22：User watches P300 virtual keys corresponding with needing selection option attentively；
Step 23：Each P300 virtual keys flash once at random, and while P300 virtual keys flash, brain wave acquisition cap is same Step is acquired to scalp EEG signals, and scalp EEG signals are carried out into bandpass filtering, and eeg data is intercepted into adopting for 0-600ms Sampling point, 1/6 down-sampling is carried out to the sampled point of the 0-600ms, and 1/6 down-sampled data is constituted into a characteristic vector, meter When calculation machine stores each P300 virtual keys flicker, corresponding characteristic vector；
Step 24：Above-mentioned steps 22 to step 23 are repeated n times, computer has been generated for all P300 virtual keys Corresponding N number of characteristic vector, N number of characteristic vector constitutive characteristic vector set D1；
Step 25：Set of eigenvectors D1 is classified by categorizing system, the P300 virtual keys of user's selection are determined.
Further：The step 5 comprises the following steps：
Step 51：Brain-machine interaction changing interface is text input interface, and the selection character of text input interface is P300 Virtual key；
Step 52：User watches the selection character to be chosen attentively；
Step 53：Each selection character flashes once at random, and while character blinking is selected, brain wave acquisition cap is synchronously right Scalp EEG signals are acquired, and scalp EEG signals are carried out into bandpass filtering, and eeg data is intercepted to 0-600ms sampling Point, carries out 1/6 down-sampling to the sampled point of the 0-600ms, 1/6 down-sampled data is constituted into a characteristic vector, calculate Corresponding characteristic vector when machine stores each selection character blinking；
Step 54：Above-mentioned steps 52 to step 53 are repeated n times, computer has been generated pair for all selection characters The N number of characteristic vector answered, N number of characteristic vector constitutive characteristic vector set D2；
Step 55：Set of eigenvectors D2 is classified by categorizing system, the character of user's selection is determined；
Step 56：Repeated by step 52 to step 55, until completing text input；
Step 57：Corresponding function is performed according to input instruction.
Beneficial effects of the present invention are：First, solve and be currently based on present in the brain-machine interaction method of virtual reality Single user, the limitation of simple function, the exchange method can carry out continuous interactive operation.Second, can be in text input Lookup switching is carried out between frame, options, many catalogues, the catalogue bottom, the target selection of progress can be deep into.If literary Word inputs class target, then changing interface is P300 text input interfaces, realizes that word is inputted using P300 signal detections.If no It is text input class target.Then by P300 brain electric potential information, and virtual reality feedback information judges information type, completes Interaction.
Brief description of the drawings
Fig. 1 is flow chart of the invention；
Fig. 2 is the structure chart of this virtual singing-hall order programme；
Fig. 3 is brain-machine interaction interface schematic diagram；
Fig. 4 is Text Entry schematic diagram.
Embodiment
Presently preferred embodiments of the present invention is described in detail below in conjunction with the accompanying drawings, so that advantages and features of the invention energy It is easier to be readily appreciated by one skilled in the art, apparent is clearly defined so as to be made to protection scope of the present invention.
The specific embodiment of the invention as shown in Figures 1 to 4, by taking a kind of order programme of virtual reality singing-hall as an example, Yi Zhongji In the virtual reality multilevel menu exchange method of brain-computer interface,
Using following steps,
Step 1：User puts on brain wave acquisition cap, virtual music order programme is opened, into brain-machine interaction interface, the void Intend music order programme to be made up of level Four subsystem；
Step 2：At brain-machine interaction interface, generation has singer's requesting song, phonetic requesting song and title of the song three options of requesting song, Mei Gexuan Item one P300 virtual key of correspondence；
Step 3：User is watched attentively with needing to choose the corresponding P300 virtual keys of option, it is assumed herein that user stares at pair Should be requested a song the related P300 virtual keys of option to title of the song；
Step 4：Each P300 virtual keys flash once at random, and while P300 virtual keys flash, brain wave acquisition cap is same Step is acquired to scalp EEG signals, and scalp EEG signals are carried out into bandpass filtering, and eeg data is intercepted into adopting for 0-600ms Sampling point, 1/6 down-sampling is carried out to above-mentioned 0-600ms sampled point, and 1/6 down-sampled data is constituted into a characteristic vector, meter Corresponding characteristic vector when calculation machine stores each P300 virtual keys flicker；
Step 5：Above-mentioned steps 4 are repeated 3 times, computer has generated corresponding 3 for all P300 virtual keys Characteristic vector, 3 characteristic vector constitutive characteristic vector set D1；
Step 6：Set of eigenvectors D1 is classified by categorizing system, the P300 virtual keys of user's selection are determined, Herein, the P300 virtual keys are corresponding with title of the song requesting song option, specifically, each P300 virtual keys are corresponding 3 vectors in 3 wheels Feature and be overlapped, then be averaging, the characteristic vector average of such as first P300 virtual key is DIt is average：
The corresponding 3 wheel characteristic vector of each P300 virtual keys is sought into D respectivelyIt is average, obtain set of eigenvectors D1=[d1,d2, d3], by set of eigenvectors D1=[d1,d2,d3] classified and waveforms detection, obtain 3 classification results S=[s1,s2,s3] and 3 waveforms detection result W=[w1,w2,w3], wherein only retaining classification results S its maximum preceding 2 score value and putting remaining Zero；Classification results S is multiplied with waveforms detection result W, R is obtainedt：
RtIt is a 3-dimensional row vector for including M nonzero value；
Travel through RtIf being not presentThen when front-wheel is exported without target, return to step 3 continues to detect；If in the presence ofThen exported for target；
Step 7：Judge whether the corresponding option of p300 virtual keys is subdirectory, virgin's catalogue is requested a song for title of the song, such as Fruit is then to enter subdirectory, and virgin's catalogue is title of the song page turning, and brain-machine interaction interface is updated to brain-machine interaction circle of title of the song page turning Face, is handled according to step 3 to step 6；
Otherwise next step is entered；
Step 8：Whether be text input type, be singer's requesting song and phonetic requesting song at this, if singer if judging the option Requesting song or phonetic requesting song, then into next step, otherwise, into step 16；
Step 9：Brain-machine interaction changing interface is text input interface, and the selection character of text input interface is P300 empty Intend key, the selection character has 28 characters；
Step 10：User watches the selection character to be chosen attentively；
Step 11：Each selection character flashes once at random, and while character blinking is selected, brain wave acquisition cap is synchronously right Scalp EEG signals are acquired, and scalp EEG signals are carried out into bandpass filtering, and eeg data is intercepted to 0-600ms sampling Point, carries out 1/6 down-sampling (every 6 sampled points choose one), by 1/6 down-sampled data to above-mentioned 0-600ms sampled point A characteristic vector is constituted, when computer storage each selects character blinking, corresponding characteristic vector；
Step 12：Above-mentioned steps 11 are repeated 3 times, computer has generated corresponding 3 spies for 28 selection characters Levy vector；
Step 13：Corresponding 3 characteristic vectors of each selection character in 28 characters are entered by categorizing system respectively Row classification, determines the character of user's selection, is specially：
N=3 represents totally 3 wheel, 3 vector characteristics and superposition of each character 3 wheels, then is averaging, such as a character Characteristic vector average is DIt is average：
The corresponding 3 wheel characteristic vector of each character in 28 characters is sought into D respectivelyIt is average, obtain set of eigenvectors D2=[d1, d2,...,d28], by this feature vector set D2=[d1,d2,...,d28] classified and waveforms detection, obtain 28 classification knots Fruit S=[s1,s2..., si,...,s28] and 28 waveforms detection result W=[w1,w2,...,wi,...,w28], wherein to dividing Class result S only retains its maximum preceding 5 score value and by remaining zero setting；Classification results S is multiplied with waveforms detection result W, obtained To Rt：
RtIt is the 28 dimension row vectors for including M nonzero value；
Travel through RtIf being not presentThen when front-wheel is exported without target, return to step 10 continues to detect；If in the presence ofThen exported for target；
Step 14：Repeat to select by step 10 to step 13, until completing text input, inputted for singer's name at this Into or Pinyin Input complete；
Step 15：Corresponding function is performed according to input instruction；
Step 16：Perform the function of playing music.

Claims (3)

1. a kind of virtual reality multilevel menu exchange method based on brain-computer interface, it is characterised in that：
Using following steps,
Step 1：User puts on brain wave acquisition cap, virtual reality system is opened, into brain-machine interaction interface；
Step 2：At brain-machine interaction interface, generation has different options, one P300 virtual key of each option correspondence, user's selection The p300 virtual keys needed；
Step 3：Whether the corresponding option of p300 virtual keys for judging the needs is subdirectory, if yes then enter the specific item Record, brain-machine interaction interface is updated to the brain-machine interaction interface of the subdirectory, handled according to step 2；
Otherwise next step is entered；
Step 4：Whether be text input type, if text input type if judging the option, then into next step, otherwise, Into step 6；
Step 5：Brain-machine interaction changing interface is text input interface, and the selection character of text input interface is P300 virtual After the completion of key, user's character input, corresponding function is performed according to input instruction；
Step 6：Perform the function of the option.
2. a kind of virtual reality multilevel menu exchange method based on brain-computer interface according to claim 1, it is characterised in that： The step 2 comprises the following steps：
Step 21：At brain-machine interaction interface, generation has different options, one P300 virtual key of each option correspondence；
Step 22：User watches P300 virtual keys corresponding with needing selection option attentively；
Step 23：Each P300 virtual keys flash once at random, and while P300 virtual keys flash, brain wave acquisition cap is synchronously right Scalp EEG signals are acquired, and scalp EEG signals are carried out into bandpass filtering, and eeg data is intercepted to 0-600ms sampling Point, carries out 1/6 down-sampling to the sampled point of the 0-600ms, 1/6 down-sampled data is constituted into a characteristic vector, calculate When machine stores each P300 virtual keys flicker, corresponding characteristic vector；
Step 24：Above-mentioned steps 22 to step 23 are repeated n times, computer has generated correspondence for all P300 virtual keys N number of characteristic vector, N number of characteristic vector constitutive characteristic vector set D1；
Step 25：Set of eigenvectors D1 is classified by categorizing system, the P300 virtual keys of user's selection are determined.
3. a kind of virtual reality multilevel menu exchange method based on brain-computer interface according to claim 1, it is characterised in that： The step 5 comprises the following steps：
Step 51：Brain-machine interaction changing interface is text input interface, and the selection character of text input interface is P300 virtual Key；
Step 52：User watches the selection character to be chosen attentively；
Step 53：Each selection character flashes once at random, and while character blinking is selected, brain wave acquisition cap is synchronous to scalp EEG signals are acquired, and scalp EEG signals are carried out into bandpass filtering, and eeg data is intercepted to 0-600ms sampled point, right The sampled point of the 0-600ms carries out 1/6 down-sampling, and 1/6 down-sampled data is constituted into a characteristic vector, computer storage Corresponding characteristic vector during each selection character blinking；
Step 54：Above-mentioned steps 52 to step 53 are repeated n times, computer has generated corresponding for all selection characters N number of characteristic vector, N number of characteristic vector constitutive characteristic vector set D2；
Step 55：Set of eigenvectors D2 is classified by categorizing system, the character of user's selection is determined；
Step 56：Repeated by step 52 to step 55, until completing text input；
Step 57：Corresponding function is performed according to input instruction.
CN201710516510.8A 2017-06-29 2017-06-29 A kind of virtual reality multilevel menu exchange method based on brain-computer interface Active CN107291240B (en)

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PCT/CN2018/092392 WO2019001360A1 (en) 2017-06-29 2018-06-22 Human-machine interaction method based on visual stimulations
US16/461,576 US10838496B2 (en) 2017-06-29 2018-06-22 Human-machine interaction method based on visual stimulation

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Cited By (3)

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WO2019001360A1 (en) * 2017-06-29 2019-01-03 华南理工大学 Human-machine interaction method based on visual stimulations
CN110688013A (en) * 2019-10-11 2020-01-14 南京邮电大学 English keyboard spelling system and method based on SSVEP
CN117369649A (en) * 2023-12-05 2024-01-09 山东大学 Virtual reality interaction system and method based on proprioception

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CN103995583A (en) * 2014-04-28 2014-08-20 三星半导体(中国)研究开发有限公司 Equipment and method for achieving brain-computer interface aiming at P300 components
US9445739B1 (en) * 2010-02-03 2016-09-20 Hrl Laboratories, Llc Systems, methods, and apparatus for neuro-robotic goal selection
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CN103995583A (en) * 2014-04-28 2014-08-20 三星半导体(中国)研究开发有限公司 Equipment and method for achieving brain-computer interface aiming at P300 components
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WO2019001360A1 (en) * 2017-06-29 2019-01-03 华南理工大学 Human-machine interaction method based on visual stimulations
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CN110688013A (en) * 2019-10-11 2020-01-14 南京邮电大学 English keyboard spelling system and method based on SSVEP
CN117369649A (en) * 2023-12-05 2024-01-09 山东大学 Virtual reality interaction system and method based on proprioception
CN117369649B (en) * 2023-12-05 2024-03-26 山东大学 Virtual reality interaction system and method based on proprioception

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