CN108388343A - Brain electrical feature feedback based on focus immerses Education Administration Information System to VR - Google Patents
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Abstract
The invention discloses the brain electrical feature feedbacks based on focus to immerse Education Administration Information System to VR, includes the following steps：S1：Take equipment；S2：EEG signals, the brain electrical feature of analysis in every 1 second are received by WIFI radio receivers；S3：Student's brain electricity is obtained, is obtained within every 1 second primary；4：Calculate memory index；S5：According to A Rate come carry out focus every 1 second real-time judge；S6：Student takes the brain electricity VR helmets；Present invention firstly provides the application hardwares of brain wave+VR, content, and it is more easy to designing and developing for the brain wave development platform used, user can be helped not only to identify the state of brain, also it can change training content in real time according to current state, it allows training to become more efficient, while easily reading wave development platform also by the efficiency of the raising developer of high degree, it is allowed to be absorbed in the research and development of brain wave algorithm without spending a lot of time the exploitation considered in product level.
Description
Technical field
The present invention relates to Education Administration Information System fields, more particularly to the feedback of the brain electrical feature based on focus immerses religion to VR
Learn management system.
Background technology
As soon as brain wave technology is a highly developed technology, it has existed from generation nineteen twenty.In the field pair of scientific research
Run far deeper than in the research of brain electricity be the one kind such as epilepsy cerebral disease, further include human psychological's state, the measurement of mood, attention
Adjusting, the exploitation of brain potential and a series of behavioral studies controlled with brain.But the research and development of products and the marketization of brain wave
But there is extremely asymmetric phenomenon in field, and one of major reason is that the algorithm of detection brain electricity is extremely complex.Scientific research field
Have been devoted to the complicated brain wave parser of exploitation, and at present on the market all product all or with most traditional
One-dimensional signal parser.Until the U.S. in 2013 releases brain plan, one of which is exactly to encourage Laboratory Opening project, and is ground
Study carefully institution cooperation.Planned by this, more achievements in research can also excite people couple as the resource of venture company
Its exploration applied.In the academic place to disconnect with commercialization, just have an opportunity, therefore it can also be seen that in recent years about brain wave
Application and commercial product enter into the visual angle of people gradually, and it has very bright future.
Scientific research field passes through the mood of brain wave research people, psychological condition, the calculation in the directions such as meditation state both at home and abroad at present
Method has been highly developed, but is difficult to be applied in commercial product because of its algorithm complexity height, and simple algorithm has inspection
Survey the low defect of precision.On the other hand multifarious for the brain wave equipment of different Scenario Designs, and on software mutually
It is incompatible.There is no the relatively high brain electric equipments of a versatility currently on the market, for example put on stable and light comfortable head
Ring.The functional form epoch are currently in and may determine that also has apart from intelligent brain wave equipment very big accordingly, with respect to brain wave market
Development space.And the core motive force for reaching the intelligent brain electric epoch is to research and develop intelligent algorithm.And most of functional form production at present
Quotient not only separates a large amount of time in hardware research and development, but also research and development of software distraction in all directions rather than is dedicated to spy
Determine functional development, and cause the progress for researching and developing core algorithm slow, commercially lacks competitiveness, we have devised base thus
Education Administration Information System is immersed to VR in the brain electrical feature feedback of focus to solve problem above.
Invention content
The purpose of the present invention is to solve disadvantages existing in the prior art, and the brain electricity based on focus proposed is special
Sign feedback immerses Education Administration Information System to VR.
Brain electrical feature feedback based on focus immerses Education Administration Information System to VR, includes the following steps：
S1：Take equipment：Student takes brain dateline ring+VR equipment, and opening immerses Classroom System application, and selects VR intention
Course, such as Chemistry Courses, wherein experiment can specifically be operated according to student to control situation elements, teacher is on dais to student
It is instructed, how introduction student operates；
S2：Analyze feature：EEG signals, the brain electrical feature of analysis in every 1 second are received by WIFI radio receivers；
S3：Detection algorithm：Student's brain electricity is obtained, primary, sample rate 512Hz is obtained within every 1 second, port number is forehead Fp1,
Tetra- channels Fp2, T9, T10, obtained data are 4 × 512 dimensions, are labeled as X, are filtered to X, and filtering frequency range is
The channel filtering of (13,30) Hz, obtained data are XS；X is filtered again, the frequency range of filtering is (12,13)
Hz, with (30,31) Hz, filtering type is channel filtering, and obtained data are Xn；By XSWith XnThe output obtained by SSD algorithms
As a result it is XSSD, data dimension is 1 × 512, wherein 512 be temporal information, by XSSDIt is to loosen finger to take the value that second order is worth to
Mark, i.e.,A-Rate value ranges are -1 to 1 at this time；X is filtered, respectively
It is filtered in (Isosorbide-5-Nitrae) Hz, obtains Xdelta, the channel filtering of (4,8) Hz obtains Xtheta, (8,13) Hz filtering, obtain Xalpha,
(13,30) Hz is filtered, and obtains Xbeta, (30,50) Hz filtering, obtain Xgamma；
S4：Calculate memory index：
Work as M-Rate>When 0.5, the memory of student is trained, and M-Rate is worked as<When 0.5, studentThe creativity of student is calculated simultaneously
Index (C-Rate), the index is by forehead, that is, the ratio of the alpha energy of Fp1 and Fp2 and temporal lobe both ends alpha energy
It is indicated,
S5：Realize control logic：According to A-Rate come carry out focus every 1 second real-time judge, when A-Rate is big
When 0, illustrate that the current focus of the student is high, adheres to that the time is more than 5 minutes if it is greater than 0, then system provides sound and encourages
Prompt is encouraged, and reward score is provided by VR；When the value of A-Rate is less than 0, illustrate that the current focus of student is low, if
Be in -0.5 to 0 this stage, VR immerse classroom will pop up cartoon elfin, prompt student currently need focus on into
Row experiment；When the value of A-Rate is less than 0.5, and the focus has been continued above 3 minutes, then VR immerse classroom will be interim
It closes, Shu Erte focuses training grid will pop up, and student is prompted to carry out the training of attention, 1 minute duration；If
In the process, the focus of student promotes back 0 or more again, then is transferred to 4.a；In this process, if the attention of student
Power can not be promoted always, then after 1 minute, VR immerses Classroom System by turning off standby, and student is prompted first to carry out appropriate stop
Breath；
S6：End-of-Course：Student takes the brain electricity VR helmets, from the background by the automatic whole for collecting student in learning process
Brain electricity, while backstage algorithm starts to calculate 4 brain electricity indexs of 10 minutes students.
Preferably, A-Rate, M-Rate, L-Rate and the C-Rate (AMLC brain audio-visual education programme management algorithm) of the student
10 minutes average value is taken, each second one is worth, and makes index curve, is stored in the AMLC tutoring system archives of the student,
And update previous AMLC4 dimension instructional charts.
Preferably, when the A-Rate average values of the student are more than 0, indicate that student is good in the overall performance of experimental stage
It is good, if it is greater than indicating that the overall performance of student is outstanding when 0.5, it is absorbed in very much immersion study, experiment.
Preferably, in the M-Rate mean values of the student, memory index integrally more than 0.5 when, indicate the current needle of student
It is enough to the intensity of memory training, it can recommend later such as reasoning from logic course related with creativity.
Preferably, in the L-Rate mean values of the student, reasoning from logic index integrally more than 0.5 when, indicate student it is current
It is enough for the intensity of reasoning from logic training, it can recommend later such as memory course related with creativity.
Preferably, in the C-Rate mean values of the student, creativity index integrally more than 0.5 when, indicate the current needle of student
It is enough to the intensity of creative training, it can recommend later such as memory course related with reasoning from logic.
Brain electrical feature feedback proposed by the present invention based on focus immerses Education Administration Information System to VR：
1, it can be detected according to the focus of brain electricity to determine whether being immersed in teaching process to VR and student is prompted；
2, AMLC brain audio-visual education programme management algorithms are put forward for the first time, i.e.,：VR immerses teaching and is combined with EEG signals feedback, passes through
Focus (A-Rate), memory index (M-Rate), reasoning from logic training index (L-Rate), creativity index (C-Rate) this
Four brain electricity dimensions, binding time dimension realize that the intelligent control VR of five dimension one immerses tutoring system, reach more efficient, more
Attending class to student for intelligence is managed；
3, judge that the focus of student detects according to brain electricity, and prompt whether student needs to be absorbed in class offerings, be absorbed in
Degree detection is using Spatio-spectral Decomposition (SSD) [1] and specific Beta wave bands (13,30Hz) energy meter
The algorithm being combined.
Present invention firstly provides the application hardware of brain wave+VR, contents, and are more easy to the brain wave development platform used
Design and develop.The product uses real-time brain-computer interface (Brain Computer Interface, BCI) mental nursing closed loop
Immersion VR game experiencings caused by system and VR help user not only to identify the state of brain, also can be according to current shape
State changes training content in real time, and training is allowed to become more efficient.Simultaneously wave development platform is easily read also to open the raising of high degree
The efficiency of originator allows it to be absorbed in the research and development of brain wave algorithm without spending a lot of time the exploitation considered in product level.
Description of the drawings
Fig. 1 is the system that the brain electrical feature feedback proposed by the present invention based on focus immerses VR Education Administration Information System
Figure；
Fig. 2 is the AMLC4 that the brain electrical feature feedback proposed by the present invention based on focus immerses VR Education Administration Information System
Tie up instructional chart.
Specific implementation mode
The present invention is made further to explain with reference to specific embodiment.
Brain electrical feature feedback proposed by the present invention based on focus immerses Education Administration Information System, including following step to VR
Suddenly：
Referring to Fig.1-2：
S1：Take equipment：Student takes brain dateline ring+VR equipment, and opening immerses Classroom System application, and selects VR intention
Course, such as Chemistry Courses, wherein experiment can specifically be operated according to student to control situation elements, teacher is on dais to student
It is instructed, how introduction student operates；
S2：Analyze feature：EEG signals, the brain electrical feature of analysis in every 1 second are received by WIFI radio receivers；
S3：Detection algorithm：Student's brain electricity is obtained, primary, sample rate 512Hz is obtained within every 1 second, port number is forehead Fp1,
Tetra- channels Fp2, T9, T10, obtained data are 4 × 512 dimensions, are labeled as X, are filtered to X, and filtering frequency range is
The channel filtering of (13,30) Hz, obtained data are XS；X is filtered again, the frequency range of filtering is (12,13)
Hz, with (30,31) Hz, filtering type is channel filtering, and obtained data are Xn；By XSWith XnThe output obtained by SSD algorithms
As a result it is XSSD, data dimension is 1 × 512, wherein 512 be temporal information, by XSSDIt is to loosen finger to take the value that second order is worth to
Mark, i.e.,A-Rate value ranges are -1 to 1 at this time；X is filtered, point
It is not filtered in (Isosorbide-5-Nitrae) Hz, obtains Xdelta, the channel filtering of (4,8) Hz obtains Xtheta, (8,13) Hz filtering, obtain Xalpha,
(13,30) Hz is filtered, and obtains Xbeta, (30,50) Hz filtering, obtain Xgamma；
S4：Calculate memory index：
Work as M-Rate>When 0.5, the memory of student is trained, and M-Rate is worked as<When 0.5, the memory of student is not instructed
Practice [2]；Calculate the reasoning from logic training index (L-Rate) of student simultaneously, the index by Beta energy and alpha energy ratio
Value obtains, i.e.,It calculates simultaneously
S5：Realize control logic：According to A-Rate come carry out focus every 1 second real-time judge, when A-Rate is big
When 0, illustrate that the current focus of the student is high, adheres to that the time is more than 5 minutes if it is greater than 0, then system provides sound and encourages
Prompt is encouraged, and reward score is provided by VR；When the value of A-Rate is less than 0, illustrate that the current focus of student is low, if
Be in 0.5 to 0 this stage, VR immerse classroom will pop up cartoon elfin, prompt student currently need focus on into
Row experiment；When the value of A-Rate is less than 0.5, and the focus has been continued above 3 minutes, then VR immerse classroom will be interim
It closes, Shu Erte focuses training grid will pop up, and student is prompted to carry out the training of attention, 1 minute duration；If
In the process, the focus of student promotes back 0 or more again, then is transferred to 4.a；In this process, if the attention of student
Power can not be promoted always, then after 1 minute, VR immerses Classroom System by turning off standby, and student is prompted first to carry out appropriate stop
Breath；
S6：End-of-Course：Student takes the brain electricity VR helmets, from the background by the automatic whole for collecting student in learning process
Brain electricity, while backstage algorithm starts to calculate 4 brain electricity indexs of 10 minutes students.
In the present invention, (AMLC brain electricity teaching management is calculated by A-Rate, M-Rate, L-Rate and the C-Rate of the student
Method) take 10 minutes average value, each second, one value, and made index curve, was stored in the AMLC tutoring system archives of the student
In, and update previous AMLC4 dimension instructional charts.
In the present invention, when the A-Rate average values of the student are more than 0, indicate that student is good in the overall performance of experimental stage
It is good, if it is greater than indicating that the overall performance of student is outstanding when 0.5, it is absorbed in very much immersion study, experiment.
In the present invention, in the M-Rate mean values of the student, memory index integrally more than 0.5 when, indicate student it is current
It is enough for the intensity of memory training, it can recommend later such as reasoning from logic course related with creativity.
In the present invention, in the L-Rate mean values of the student, reasoning from logic index integrally more than 0.5 when, indicate student work as
The preceding intensity for reasoning from logic training is enough, can recommend later such as memory course related with creativity.
In the present invention, in the C-Rate mean values of the student, creativity index integrally more than 0.5 when, indicate student it is current
It is enough for the intensity of creative training, it can recommend later such as memory course related with reasoning from logic.
Operation principle：When in use, description brain electricity generates interactive relationship with VR equipment video and speech enabled content, realizes
Management to student instruction focus, student takes VR and receives teaching, and brain electricity is entered machine learning analysis system in real time, sentences
The focus of disconnected user, logic, memory, the level of creativity etc. training, and feed back to the tune in the VR progress contents of courses
Control.Bio signal described above includes the biological data of a variety of wave bands of brain electricity and adjusts interaction by real-time machine learning algorithm
Content helps student to carry out learning management；The bio signal of different time node is counted, is formed and student's focus and training is imitated
The analysis curve of fruit；
Existing brain electric equipment has fixed point of penetration and designs different with us in appearance, product core in the market
Also different in piece design, not having brain wave equipment can also be used in combination with VR products, applied to the example for immersing classroom：
1,2010 so far, Interaxon, Neuro Sky, Emotiv, Brainco, Macrotellect,
The companies such as Neurocoach, Mindplay have developed more money brain waves and have applied for different user crowds, wherein having about
30% is trained for mental health；
2, these are applied, and product is all based on an expensive brain wave headring ($ 200) and simple mobile phone substantially
Using and vocal guidance user how use its product；
3, the experience sense of user is because using being simply restricted, sleazy update shortage can not attract enough users to be formed
The ecology of oneself.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (6)
1. the brain electrical feature feedback based on focus immerses Education Administration Information System to VR, which is characterized in that include the following steps：
S1：Take equipment：Student takes brain dateline ring+VR equipment, and opening immerses Classroom System application, and selects VR intention classes
Journey, such as Chemistry Courses, wherein experiment can specifically operate to control situation elements according to student, teacher on dais to student into
How row guidance, introduction student operate；
S2：Analyze feature：EEG signals, the brain electrical feature of analysis in every 1 second are received by WIFI radio receivers；
S3：Detection algorithm：Student brain electricity is obtained, obtains within every 1 second primary, sample rate 512Hz, port number is forehead Fp1, Fp2,
Tetra- channels T9, T10, obtained data are 4 × 512 dimensions, are labeled as X, are filtered to X, and filtering frequency range is (13,30)
The channel filtering of Hz, obtained data are XS；X is filtered again, the frequency range of filtering is (12,13) Hz, with (30,
31) Hz, filtering type are channel filtering, and obtained data are Xn；By XSWith XnThe output result obtained by SSD algorithms is
XSSD, data dimension is 1 × 512, wherein 512 be temporal information, by XSSDIt is to loosen index to take the value that second order is worth to, i.e.,A-Rate value ranges are -1 to 1 at this time；X is filtered, respectively (1,
4) Hz is filtered, and obtains Xdelta, the channel filtering of (4,8) Hz obtains Xtheta, (8,13) Hz filtering, obtain Xalpha,(13,30)Hz
Filtering, obtains Xbeta, (30,50) Hz filtering, obtain Xgamma；
S4：Calculate memory index：
Work as M-Rate>When 0.5, the memory of student is trained, and M-Rate is worked as<When 0.5, the memory of student is not instructed
Practice [2]；Calculate the reasoning from logic training index (L-Rate) of student simultaneously, the index by Beta energy and alpha energy ratio
Value obtains, i.e.,Numerology simultaneously
Raw creativity index (C-Rate), the index is by forehead, that is, the alpha energy of Fp1 and Fp2 and temporal lobe both ends alpha
The ratio of energy is indicated,
S5：Realize control logic：According to A-Rate come carry out focus every 1 second real A-Rate be more than 0 when, illustrate
Raw current focus is high, adheres to that the time is more than 5 minutes if it is greater than 0, then system provides sound reward and prompts, and pass through VR
Provide reward score；When the value of A-Rate is less than 0, illustrate that the current focus of student is low, if it is in -0.5 to 0 this rank
Section, VR, which immerses classroom, will pop up cartoon elfin, and student is prompted currently to need to focus on to test；When A-Rate's
When value is less than -0.5, and the focus has been continued above 3 minutes, then VR immerses classroom by Temporarily Closed, and Shu Erte is absorbed in
Degree training grid will pop up, and student is prompted to carry out the training of attention, 1 minute duration；If in the process, student
Focus promote back 0 or more again, then be transferred to 4.a；In this process, if the attention of student can not be promoted always,
Then after 1 minute, VR immerses Classroom System by turning off standby, and student is prompted first to carry out rest appropriate.；
S6：End-of-Course：Student takes the brain electricity VR helmets, from the background by the automatic whole brains for collecting student in learning process
Electricity, while backstage algorithm starts to calculate 4 brain electricity indexs of 10 minutes students.
2. the brain electrical feature feedback according to claim 1 based on focus immerses Education Administration Information System, feature to VR
It is, A-Rate, M-Rate, L-Rate and the C-Rate (AMLC brain audio-visual education programme management algorithm) of the student take 10 minutes flat
Mean value, each second one is worth, and makes index curve, is stored in the AMLC tutoring system archives of the student, and updates in the past
AMLC4 ties up instructional chart.
3. the brain electrical feature feedback according to claim 1 based on focus immerses Education Administration Information System, feature to VR
It is, when the A-Rate average values of the student are more than 0, indicates that student is good in the overall performance of experimental stage, if it is greater than
It indicates that the overall performance of student is outstanding when 0.5, is absorbed in very much immersion study, experiment.
4. the brain electrical feature feedback according to claim 1 based on focus immerses Education Administration Information System, feature to VR
Be, in the M-Rate mean values of the student, memory index integrally more than 0.5 when, indicate student currently be directed to memory training
Intensity it is enough, can recommend later such as reasoning from logic course related with creativity.
5. the brain electrical feature feedback according to claim 1 based on focus immerses Education Administration Information System, feature to VR
Be, in the L-Rate mean values of the student, reasoning from logic index integrally more than 0.5 when, indicate student currently be directed to Logical Deriving
The intensity for managing training is enough, can recommend later such as memory course related with creativity.
6. the brain electrical feature feedback according to claim 1 based on focus immerses Education Administration Information System, feature to VR
Be, in the C-Rate mean values of the student, creativity index integrally more than 0.5 when, indicate student currently be directed to creativity instruct
Experienced intensity is enough, can recommend later such as memory course related with reasoning from logic.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109637222A (en) * | 2019-01-28 | 2019-04-16 | 探客柏瑞科技（北京）有限公司 | Brain science wisdom classroom |
| CN110478593A (en) * | 2019-05-15 | 2019-11-22 | 常州大学 | Brain electricity attention training system based on VR technology |
| CN110680314A (en) * | 2019-09-30 | 2020-01-14 | 浙江凡聚科技有限公司 | Virtual reality situation task attention training system based on brain electricity multi-parameter |
| CN110772699A (en) * | 2019-09-30 | 2020-02-11 | 浙江凡聚科技有限公司 | Attention training system for automatically adjusting heart rate variability based on virtual reality |
| CN111638790A (en) * | 2020-06-02 | 2020-09-08 | 电子科技大学 | TGAM chip-based concentration optimization method for electroencephalogram data feedback |
| CN115064022A (en) * | 2022-03-25 | 2022-09-16 | 深圳尼古拉能源科技有限公司 | Enhanced perception experience platform and use method thereof |
| CN115188447A (en) * | 2022-09-08 | 2022-10-14 | 浙江强脑科技有限公司 | Memory training method and device based on electroencephalogram signals |
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