CN103677264A - Brain computer interface based resource manager operation method - Google Patents
Brain computer interface based resource manager operation method Download PDFInfo
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Abstract
The invention discloses a brain computer interface based resource manager operation method. The method includes: (1), initializing a system; (2), controlling a mouse to move to a target area by the brain, and selecting whether to click the target area or not; if yes, clicking the target area by the mouse, and judging whether the target area is an address input field or not; if not, entering step (3), and if yes, switching an resource manager interface into a P300 text input interface and entering step (4); if the target area is not clicked, in other words, clicking of the target area is rejected, not responding to any event in the target area; continuing to execute the step (2); (3), responding to the click event of the mouse, refreshing an interface according to the click event responded by the target area, deleting target areas incapable of being clicked in advance, determining a new target area and continuing to execute the step (2); (4), updating the current resource manager interface to an interface directed by a path, and continuing to execute the step (2). By the method, operation on resources in computers is realized, and operation efficiency is high.
Description
Technical field
The present invention relates to brain-computer interface field, particularly a kind of method of operating based on brain-computer interface explorer.
Background technology
Brain-computer interface (brain computer interface, BCI) technology is between human brain and computing machine, to set up the brand-new externally communication and control technology that does not rely on conventional brain information output channel (nervus peripheralis and musculature).It utilizes human brain the difference of the EEG signals of different sensations, motion or cognitive activities generation to be determined to people's idea and intention, realizes communication and the control of human brain and external unit.The appearing as of brain-computer interface had a normal thinking but the paralytic that do not possess language performance provides a kind of and extraneous mode exchanging.BCI development is at present rapid, just like the virtual typing machine based on BCI, healing robot, wireless remote control truck system etc.
Computing machine is worked as modern, the instrument of study and amusement has a wide range of applications, conventionally people can be by important or conventional file storage on computers, if paralytic can access and operate the file of computing machine by brain machine interface system, as can brain control reading documents, video etc. is watched in brain control, and this will enrich paralytic's studying and living greatly, and improves its self care ability.
Summary of the invention
The shortcoming that the object of the invention is to overcome prior art is with not enough, the method of operating based on brain-computer interface explorer that a kind of operating efficiency is high is provided, user realizes the access to computer resource management device by the method, and realizes the associative operation to resource in computing machine.
Object of the present invention is achieved through the following technical solutions: a kind of method of operating based on brain-computer interface explorer, comprises the following steps: a kind of method of operating based on brain-computer interface explorer, comprises the following steps:
(1) system initialization: user is with upper electrode cap, connects brain-computer interface by electrode cap and calculating and is connected, and opens the Resource management interface of computing machine, in the surrounding of Resource management interface, P300 flicker key is set; Automatically extract all target areas of clicking in current interface, and catch the position of mouse in interface simultaneously;
(2) brain controlled mouse: user watches P300 flicker key attentively and the imagination of moving produces scalp EEG signals, computing machine gathers user's EEG signals by electrode cap, the motion imagination and P300 brain electric potential information in the EEG signals respectively it being collected are carried out pre-service, feature extraction and classification, obtain the displacement information of mouse, mouse beacon moves to target area in Resource management interface according to displacement information, user imagines by motion and P300 brain electric potential selects whether to click target area;
If user selects to click this target area, mouse is clicked this target area, judges whether this target area is address input field simultaneously; If not, enter step (3); If so, Resource management interface is converted to P300 text inputting interface, enters step (4);
If user does not click target area, represent that user selects refusal to click this target, does not respond any event in target area; Continue execution step (2);
(3) click event of computing machine response mouse, refreshes interface according to the click event of target area response; Simultaneously current clicked according to user target, deletes the next target area that can not click of user in advance, and user starts to determine new target area, continues execution step (2);
(4) text input: include n P300 flicker key on P300 text inputting interface, the corresponding P300 flicker of each character key wherein, character of every input, each P300 flicker key repeats the n time that glimmers, every, all in glimmering, each character on interface according to each flicker of random sequence once; User watches its P300 flicker key of wanting input character attentively, computer acquisition P300 brain electric potential information, the P300 brain electric potential information corresponding to data of each the character button flicker then computing machine being gathered is carried out pre-service, feature extraction and classification, determines the character that user will input; After treating path input, return to Resource management interface, and path input results is input in the input field of address; Current Resource management interface is updated to the interface of path indication, and continues execution step (2).
Preferably, described computing machine comprises to P300 brain electric potential information is carried out low-pass filtering treatment, intercepted each P300 flicker key 0～600ms data the pre-service of P300 brain electric potential information, and the 0～600ms data that are truncated to are carried out to the processing of sixth down-sampling, to P300 brain electric potential information characteristics extract be the signal amplitude of the electrode selected as feature, the sorter that P300 brain electric potential information is classified is support vector machine classifier; Computing machine comprises and adopts public average reference method to remove noise and bandpass filtering treatment the pre-service of motion imagination signal, to the feature extraction of motion imagination signal, be to adopt signal variance after the space projection that common spatial domain pattern extracts as feature, the sorter that motion imagination signal is classified is support vector machine classifier.
Further, in the assorting process of the described motion imagination, value in the pattern feature of common spatial domain sorts according to order from big to small, if the eigenwert of first 3 with the meeting (X1-X2)/X1 with X2 and be more than or equal to 20% of X1 and rear 3 eigenwerts, be motion imagination state, otherwise be idle condition.
Preferably, in described step (2), Resource management interface surrounding includes between 8 P300 flickers, and wherein there are 3 " UP " keys the top of Resource management interface, and there are 3 " DOWN " keys below, and the right and left respectively has 1 " STOP " key.
Preferably, in described step (2), by P300 key and the motion imagination, come respectively vertical movement and the tangential movement of mouse beacon, if user watches one of them in 3 " UP " keys attentively, mouse beacon is to top offset, if user watches one of them in 3 " DOWN " keys attentively, mouse is to bottom offset; If user imagines left hand motion, mouse is to left dislocation, if user imagines right hand motion, mouse displacement to the right; If user watches in 2 " STOP " keys 1 attentively, there is no the motion imagination, mouse stops mobile.
Preferably, in described step (2), if " STOP " key that user watches attentively in P300 key there is no the motion imagination, select to click target; If user watches " STOP " key in P300 key attentively and imagines left hand motion or right hand motion, select refusal to click target.
Preferably, in described step (4), at P300 flicker key, after going over flicker, the brightness that is tentatively judged as the P300 flicker key of target character in P300 brain electric potential information classification process is increased.
Preferably, on described P300 text inputting interface, comprise 50 P300 flicker keys, include 50 characters.
Further, described 50 P300 flicker key comprises Ctr/Shif, Turn, Back, PgUp, PgDn, SPACE, DEL and OK function key.
The present invention has following advantage and effect with respect to prior art:
(1) the inventive method in conjunction with these two kinds of the motion imagination and P300 independently signal carry out combination and be applied to brain-computer interface field, use the motion imagination and P300 to control the movement of brain controlled mouse, realize mouse and arrived target area in Resource management interface displacement, then analog mouse click event, can realize the file in explorer, file, button etc. are opened, copy, paste, closed and the operation such as deletion.The path of the file that user can also will find by P300 text inputting interface input user in the input field of address, is used computing machine to bring great convenience to limbs impaired.The present invention is by the Real-time Collection of the motion imagination in EEG signals and P300 output signal and detection being carried out to the movement of mouse beacon in addition, so the present invention can realize stepless control, and has advantages of that the control time is shorter more accurate.
(2), after the inventive method is clicked target, the target current clicked according to user, deletes the next target area that can not click of user in advance; Because the targets such as file, file, button in explorer are various, when user operates a certain target, just must all do the once selection of refusal to other targets of mouse process; And the inventive method is deleted the number of times that can reduce the operation of mouse refusal in advance to the target area that can not click, improve the operating efficiency of the inventive method.
(3) the brightness meeting due to target exerts an influence to the accuracy rate of P300.Therefore in native system, P300 interface flashing mode has been carried out to following regulation, suitable increase is carried out in the brightness that each is taken turns to most probable the target button that flicker obtains in P300 data analysis process later.When P300 flicker key is after going over flicker, the brightness of the most possible flicker of the P300 for target character of preliminary judgement in P300 brain electric potential information classification process key is increased, guaranteed the accuracy of the inventive method input character.
(4) the inventive method has increased the function keys such as Turn, Back, Ctr/Shif, PgUp, PgDn, SPACE, DEL and OK to P300 text inputting interface, has therefore further increased the function of P300 text inputting interface.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the inventive method.
Fig. 2 is Resource management interface schematic diagram of the present invention.
Fig. 3 is P300 text inputting interface schematic diagram of the present invention.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited to this.
Embodiment
As shown in Figure 1, the present embodiment discloses a kind of method of operating based on brain-computer interface explorer, comprises the following steps:
(1) system initialization: user is with upper electrode cap, by electrode cap and calculating, connecing brain-computer interface is connected, open the Resource management interface of computing machine, as shown in Figure 2, surrounding at Resource management interface is provided with 8 P300 flicker keys, wherein there are 3 " UP " keys the top of Resource management interface, and there are 3 " DOWN " keys below, and the right and left respectively has 1 " STOP " key; Automatically extract all target areas of clicking in current interface, and catch the position of mouse in interface simultaneously; Wherein Resource management interface target area can be local disk (C, D, E, F), desktop, button, file, file and address input field etc.
(2) brain controlled mouse: user watches P300 flicker key attentively and the imagination of moving produces scalp EEG signals, computing machine gathers user's EEG signals by electrode cap, P300 brain electric potential information in the EEG signals that it is collected is carried out respectively low-pass filtering and each P300 flicker key 0～600ms data of intercepting, and it is carried out to the processing of sixth down-sampling, then extract the signal amplitude of electrode as feature, finally adopt support vector machine classifier to classify to each feature.To motion imagination signal, adopt public average reference method (CAR) to remove the pre-service of noise and bandpass filtering, then adopt common spatial domain pattern (CSP) to extract signal variance after space projection as feature, finally adopt support vector machine classifier to classify to each feature; To obtain mouse vertically and horizontal shift information, according to displacement information mouse beacon, in Resource management interface, move to target area; If wherein user watches one of them in 3 " UP " keys attentively, mouse beacon is to top offset, if user watches one of them in 3 " DOWN " keys attentively, mouse beacon is to bottom offset; If user imagines left hand motion, mouse beacon is to left dislocation, if user imagines right hand motion, mouse beacon displacement to the right; After mouse arrives target area, user imagines by motion and P300 brain electric potential selects whether to click target area;
If " STOP " key that user watches attentively in P300 key there is no the motion imagination, represent that user selects to click target area, mouse is clicked this target area, judges whether this target area is address input field simultaneously; If not, enter step (3); If so, Resource management interface is converted to P300 text inputting interface, enters step (4);
If user watches " STOP " key in P300 key attentively and imagines left hand motion or right hand motion, user refuses to click this target, does not respond any event in target area, continues execution step (2).
(3) click event of computing machine response mouse, refreshes interface according to the click event of target area response; Simultaneously current clicked according to user target, the next target area that can not click of user is deleted in advance, then user starts to determine next new target area, continue execution step (2), under new resources manager interface, by step (2), mouse is moved to next new target area, until user completes the associative operation of explorer.For example user clicks a file, computing machine refreshes as there being the new interface of shortcut menu, now known, the operations such as next target of user may be for opening in shortcut menu, copy, stickup, deleted file, therefore can judge that file in list box, file etc. all can not be as next new target areas, therefore these regions are deleted, to reduce destination number.
(4) text input: include as shown in Figure 3 50 P300 flicker keys on P300 text inputting interface, the corresponding P300 flicker of each character key, character of every input, each P300 flicker key repeats the n time that glimmers, every, all in glimmering, each character on interface according to each flicker of random sequence once; User watches its P300 flicker key of wanting input character attentively, computer acquisition P300 brain electric potential information, the P300 brain electric potential information corresponding to data of each the character button flicker then computing machine being gathered is carried out pre-service, feature extraction and classification, finally determines the character that user will input; Wherein the pre-service of P300 brain electric potential information is comprised to P300 brain electric potential information is carried out low-pass filtering treatment, intercepted each P300 flicker key 0～600ms data, and the 0～600ms data that are truncated to are carried out to the processing of sixth down-sampling, to P300 brain electric potential information characteristics extract be the signal amplitude of the electrode selected as feature, the sorter that P300 brain electric potential information is classified is support vector machine classifier; After treating path input, return to Resource management interface, and path input results is input in the input field of address; Current Resource management interface is updated to the interface of path indication; And continuation execution step (2).
Wherein the present embodiment is in the assorting process of the motion imagination, value in the pattern feature of common spatial domain sorts according to order from big to small, if the eigenwert of first 3 with the meeting (X1-X2)/X1 with X2 and be more than or equal to 20% of X1 and rear 3 eigenwerts, be judged as motion imagination state, otherwise be judged as idle condition.
As shown in Figure 3, P300 flicker key on the present embodiment P300 text inputting interface also includes Turn, Back, Ctr/Shif, PgUp, PgDn, SPACE, DEL and OK function key, user is after having inputted path, can, by watching " Turn " key attentively, make current P300 text inputting interface directly enter into the interface of destination path; User can get back to the interface of upper level catalogue by watching " Back " key attentively; By " Ctr/Shif ", switch Chinese and English input method, by " DEL ", can delete the character in the input of P300 text inputting interface, by " SPACE " key, can key in interval at intercharacter, by " OK " key, determine and inputted; Can page turning by " PgUp " and " PgDn ".
The present embodiment is simulated the general utility functions of explorer by brain controlled mouse and P300 text inputting interface.First, user can click local disk (C, D, E, F) and desktop by brain controlled mouse, and now the All Files in corresponding disk will appear in list box, and user can click file and be used for opened file folder.Secondly, if comprise many files in destination path, can, by P300 text inputting interface at address input field spelling destination path, then click the direct target approach of " Turn " key path; In addition user can also be used for turning back to upper level catalogue by clicking " Back " key.If user clicks file, system can eject shortcut menu at once, and user can be used for opening, copies, stickup, deleted file; After if user opens file, user can close this document by brain controlled mouse.
In the present embodiment step (3), P300 flicker key, after going over flicker, increases the brightness of the most possible flicker of the P300 for target character of preliminary judgement in P300 brain electric potential information classification process key.
Because the targets such as file, file, button in explorer are various, when user operates a certain target, just must all do the once selection of refusal to other targets of mouse process; The target current clicked according to user in the present embodiment, the next target area that can not click of user is first deleted in advance, to reduce the number of target, thereby reduce mouse and can not, as carrying out the number of times of refusal in order target area, improve the efficiency of method of operating of the present invention through these.
Above-described embodiment is preferably embodiment of the present invention; but embodiments of the present invention are not restricted to the described embodiments; other any do not deviate from change, the modification done under Spirit Essence of the present invention and principle, substitutes, combination, simplify; all should be equivalent substitute mode, within being included in protection scope of the present invention.
Claims (9)
1. the method for operating based on brain-computer interface explorer, is characterized in that, comprises the following steps:
(1) system initialization: user is with upper electrode cap, connects brain-computer interface by electrode cap and calculating and is connected, and opens the Resource management interface of computing machine, in the surrounding of Resource management interface, P300 flicker key is set; Automatically extract all target areas of clicking in current interface, and catch the position of mouse in interface simultaneously;
(2) brain controlled mouse: user watches P300 flicker key attentively and the imagination of moving produces scalp EEG signals, computing machine gathers user's EEG signals by electrode cap, the motion imagination and P300 brain electric potential information in the EEG signals respectively it being collected are carried out pre-service, feature extraction and classification, obtain the displacement information of mouse, mouse beacon moves to target area in Resource management interface according to displacement information, user imagines by motion and P300 brain electric potential selects whether to click target area;
If user selects to click this target area, mouse is clicked this target area, judges whether this target area is address input field simultaneously; If not, enter step (3); If so, Resource management interface is converted to P300 text inputting interface, enters step (4);
If user does not click target area, represent that user selects refusal to click this target, does not respond any event in target area; Continue execution step (2);
(3) click event of computing machine response mouse, refreshes interface according to the click event of target area response; Simultaneously current clicked according to user target, deletes the next target area that can not click of user in advance, and user starts to determine new target area, continues execution step (2);
(4) text input: include n P300 flicker key on P300 text inputting interface, the corresponding P300 flicker of each character key wherein, character of every input, each P300 flicker key repeats the n time that glimmers, every, all in glimmering, each character on interface according to each flicker of random sequence once; User watches its P300 flicker key of wanting input character attentively, computer acquisition P300 brain electric potential information, the P300 brain electric potential information corresponding to data of each the character button flicker then computing machine being gathered is carried out pre-service, feature extraction and classification, determines the character that user will input; After treating path input, return to Resource management interface, and path input results is input in the input field of address; Current Resource management interface is updated to the interface of path indication, and continues execution step (2).
2. the method for operating based on brain-computer interface explorer according to claim 1, it is characterized in that, described computing machine comprises to P300 brain electric potential information is carried out low-pass filtering treatment, intercepted each P300 flicker key 0～600ms data the pre-service of P300 brain electric potential information, and the 0～600ms data that are truncated to are carried out to the processing of sixth down-sampling, to P300 brain electric potential information characteristics extract be the signal amplitude of the electrode selected as feature, the sorter that P300 brain electric potential information is classified is support vector machine classifier; Computing machine comprises and adopts public average reference method to remove noise and bandpass filtering treatment the pre-service of motion imagination signal, to the feature extraction of motion imagination signal, be to adopt signal variance after the space projection that common spatial domain pattern extracts as feature, the sorter that motion imagination signal is classified is support vector machine classifier.
3. the method for operating based on brain-computer interface explorer according to claim 2, it is characterized in that, in the assorting process of the described motion imagination, value in the pattern feature of common spatial domain sorts according to order from big to small, if the eigenwert of first 3 with the meeting (X1-X2)/X1 with X2 and be more than or equal to 20% of X1 and rear 3 eigenwerts, be motion imagination state, otherwise be idle condition.
4. the method for operating based on brain-computer interface explorer according to claim 1, it is characterized in that, in described step (2), Resource management interface surrounding includes between 8 P300 flickers, wherein there are 3 " UP " keys the top of Resource management interface, there are 3 " DOWN " keys below, and the right and left respectively has 1 " STOP " key.
5. the method for operating based on brain-computer interface explorer according to claim 4, it is characterized in that, in described step (2), by P300 key and the motion imagination, come respectively vertical movement and the tangential movement of mouse beacon, if user watches one of them in 3 " UP " keys attentively, mouse beacon is to top offset, if user watches one of them in 3 " DOWN " keys attentively, mouse is to bottom offset; If user imagines left hand motion, mouse is to left dislocation, if user imagines right hand motion, mouse displacement to the right; If user watches in 2 " STOP " keys 1 attentively, there is no the motion imagination, mouse stops mobile.
6. the method for operating based on brain-computer interface explorer according to claim 1, is characterized in that, in described step (2), if " STOP " key that user watches attentively in P300 key there is no the motion imagination, selects to click target; If user watches " STOP " key in P300 key attentively and imagines left hand motion or right hand motion, select refusal to click target.
7. the method for operating based on brain-computer interface explorer according to claim 1, it is characterized in that, in described step (4), at P300 flicker key, after going over flicker, the brightness that is tentatively judged as the P300 flicker key of target character in P300 brain electric potential information classification process is increased.
8. the method for operating based on brain-computer interface explorer according to claim 1, is characterized in that, comprises 50 P300 flicker keys on described P300 text inputting interface, includes 50 characters.
9. the method for operating based on brain-computer interface explorer according to claim 8, is characterized in that, described 50 P300 flicker key comprises Ctr/Shif, Turn, Back, PgUp, PgDn, SPACE, DEL and OK function key.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107272905A (en) * | 2017-06-29 | 2017-10-20 | 华南理工大学 | A kind of exchange method based on EOG and EMG |
| CN107291240A (en) * | 2017-06-29 | 2017-10-24 | 华南理工大学 | A kind of virtual reality multilevel menu exchange method based on brain-computer interface |
| CN108294748A (en) * | 2018-01-23 | 2018-07-20 | 南京航空航天大学 | A kind of eeg signal acquisition and sorting technique based on stable state vision inducting |
| CN109101807A (en) * | 2018-09-10 | 2018-12-28 | 清华大学 | A kind of brain electricity identity authority control system and method |
| US10838496B2 (en) | 2017-06-29 | 2020-11-17 | South China University Of Technology | Human-machine interaction method based on visual stimulation |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101968715A (en) * | 2010-10-15 | 2011-02-09 | 华南理工大学 | Brain computer interface mouse control-based Internet browsing method |
| CN101976115A (en) * | 2010-10-15 | 2011-02-16 | 华南理工大学 | Motor imagery and P300 electroencephalographic potential-based functional key selection method |
| 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 |
| KR20130091371A (en) * | 2012-02-07 | 2013-08-19 | 상명대학교 천안산학협력단 | Method for generating control signal of electronic device by using visual stimulus and remote controller for the device using the method |
| WO2013160885A1 (en) * | 2012-04-28 | 2013-10-31 | Jawaharlal Nehru Centre For Advanced Scientific Research | A nanosphere - histone acetyltransferase (hat) activator composition, process and methods thereof |
-
2013
- 2013-12-03 CN CN201310642657.3A patent/CN103677264A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101968715A (en) * | 2010-10-15 | 2011-02-09 | 华南理工大学 | Brain computer interface mouse control-based Internet browsing method |
| CN101976115A (en) * | 2010-10-15 | 2011-02-16 | 华南理工大学 | Motor imagery and P300 electroencephalographic potential-based functional key selection method |
| KR20130091371A (en) * | 2012-02-07 | 2013-08-19 | 상명대학교 천안산학협력단 | Method for generating control signal of electronic device by using visual stimulus and remote controller for the device using the method |
| WO2013160885A1 (en) * | 2012-04-28 | 2013-10-31 | Jawaharlal Nehru Centre For Advanced Scientific Research | A nanosphere - histone acetyltransferase (hat) activator composition, process and methods thereof |
| 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 |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107272905A (en) * | 2017-06-29 | 2017-10-20 | 华南理工大学 | A kind of exchange method based on EOG and EMG |
| CN107291240A (en) * | 2017-06-29 | 2017-10-24 | 华南理工大学 | A kind of virtual reality multilevel menu exchange method based on brain-computer interface |
| CN107272905B (en) * | 2017-06-29 | 2018-10-09 | 华南理工大学 | A kind of exchange method based on EOG and EMG |
| US10838496B2 (en) | 2017-06-29 | 2020-11-17 | South China University Of Technology | Human-machine interaction method based on visual stimulation |
| CN108294748A (en) * | 2018-01-23 | 2018-07-20 | 南京航空航天大学 | A kind of eeg signal acquisition and sorting technique based on stable state vision inducting |
| CN109101807A (en) * | 2018-09-10 | 2018-12-28 | 清华大学 | A kind of brain electricity identity authority control system and method |
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Application publication date: 20140326 |