CN107595282A - One kind carries out web-based auxiliary learning system based on brain wave - Google Patents
One kind carries out web-based auxiliary learning system based on brain wave Download PDFInfo
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- CN107595282A CN107595282A CN201710820621.8A CN201710820621A CN107595282A CN 107595282 A CN107595282 A CN 107595282A CN 201710820621 A CN201710820621 A CN 201710820621A CN 107595282 A CN107595282 A CN 107595282A
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- 210000004556 brain Anatomy 0.000 title claims abstract description 36
- 240000006409 Acacia auriculiformis Species 0.000 claims abstract description 21
- 210000005069 ears Anatomy 0.000 claims abstract description 21
- 230000002452 interceptive effect Effects 0.000 claims abstract description 21
- 238000000034 method Methods 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 3
- 230000002093 peripheral effect Effects 0.000 claims description 3
- 230000011664 signaling Effects 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 2
- 230000003993 interaction Effects 0.000 claims 2
- 230000000694 effects Effects 0.000 abstract description 8
- 238000001514 detection method Methods 0.000 abstract description 6
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 210000003128 head Anatomy 0.000 description 6
- 210000004027 cell Anatomy 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000007177 brain activity Effects 0.000 description 1
- 210000003710 cerebral cortex Anatomy 0.000 description 1
- 210000003792 cranial nerve Anatomy 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003032 molecular docking Methods 0.000 description 1
- 210000002569 neuron Anatomy 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 210000004761 scalp Anatomy 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
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- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
Web-based auxiliary learning system is carried out based on brain wave the invention provides one kind, including terminal electrode paster, left ear ear clip, auris dextra ear clip, digital analog converter, microcontroller chip unit, server, process chip unit, wireless transport module, power supply chip unit and interactive device, terminal electrode paster, left ear ear clip and auris dextra ear clip collection eeg signal, analog-digital converter is connected to microcontroller chip unit, wireless transport module connects microcontroller chip unit, wireless transport module connects interactive device, and interactive device, which possesses, logs in online education platform.Beneficial effect is by on-line study platform and brain point ripple detection connected applications, when user logs in on-line study by interactive device, brain wave detection is carried out in real time, brain active degree and fatigue strength can intuitively be shown, and shown with digital quantity, help to judge tensity, point of interest, degree of fatigue and anxious state of mind, improve learning efficiency and effect.
Description
Technical field
The invention belongs to the new education field that brain wave is combined with online education platform, more particularly, to one kind based on brain electricity
Ripple carries out web-based auxiliary learning system.
Background technology
Brain wave (Electroencephalogram, EEG) be brain in activity, a large amount of neurons synchronously occur prominent
Current potential is formed after summation after touch.It records electric wave change during brain activity, is that the bioelectrical activity of cranial nerve cell exists
The overall reflection of cerebral cortex or scalp surface.Brain wave or electroencephalogram be it is a kind of than more sensitive objective indicator, not only can be with
For the fundamental research of brain science, and prior meaning is the application of its clinical practice, various with the mankind
Activity is closely bound up.In the prior art, when user logs in on-line study or on-site training by interactive device, it is difficult to monitor
The existing learning method of efficiency to to(for) course learning, it is difficult to judge different courses offered, corresponding optimal teaching and study
Adaptation feature, the effect of existing study plan, cause learning efficiency low.
The content of the invention
In view of this, the present invention is directed to propose a kind of carry out web-based auxiliary learning system based on brain wave, by on-line study
Platform and brain point ripple detection connected applications, when user logs in on-line study by interactive device, carry out brain wave detection in real time,
Brain active degree and fatigue strength can be intuitively shown, and is shown with digital quantity, helps to judge that learning object was learning
Overall tensity in journey, the interest level to knowledge point, degree of fatigue and anxious state of mind situation, come aid in parent or
Teacher establishes new education and refers to dimension, so as to improve learning efficiency and effect.
To reach above-mentioned purpose, the technical proposal of the invention is realized in this way：
One kind carries out web-based auxiliary learning system, including terminal electrode paster, left ear ear clip, auris dextra ear based on brain wave
Folder, digital analog converter, microcontroller chip unit, server, process chip unit, wireless transport module, power supply chip unit and friendship
Mutual equipment, power supply chip unit power supply connect the digital analog converter, the microcontroller chip unit and described are wirelessly transferred
Module, the terminal electrode paster, the left ear ear clip and the auris dextra ear clip are connected respectively to institute after gathering eeg signal
The input port of analog-digital converter is stated, the output port of the analog-digital converter is connected to the microcontroller chip unit by bus
Serial Peripheral Interface, wireless transport module two-way signaling conducting connects the asynchronous receiving-transmitting of the microcontroller chip unit
Coffret, the wireless transport module connect the interactive device by communicating wireless signals, and the interactive device, which possesses, to be stepped on
Land online education platform, the microcontroller chip unit and the process chip unit are docked by I/O interfaces, and the server connects
It is connected to the data transmission port of the microcontroller chip unit.
Further, the terminal electrode paster fits in user head, and the left ear ear clip is placed in a user left side
At ear, the auris dextra ear clip is placed at user's auris dextra, the head motor paster, the left ear ear clip and the auris dextra ear
Folder forms micro-current loop, catches four kinds of human body electroencephalogram's ripple signals：θ ripples that δ ripples that frequency is 0.5-3HZ, frequency are 4-8HZ,
The β ripples that the α ripples and frequency that frequency is 8-13HZ are more than 14HZ.
Further, the interactive device includes TV, computer, mobile phone, TV box or VR equipment.
Further, the wireless transport module includes Bluetooth communication modules or wifi transport modules.
Further, the digital analog converter possesses the ADS7869 of 12 passages, 12 and serial-parallel interface.
Further, the microcontroller chip unit is AVR single chip.
Further, the process chip unit is digital processing chip.
Further, the power supply chip unit is SPX1117M-3.3 photovoltaic conversion chip.
Relative to prior art, it is of the present invention based on brain wave carry out web-based auxiliary learning system have it is following excellent
Gesture：
Maximum innovative point of the invention is on-line study platform and brain wave detection connected applications, user passing through friendship
When mutual equipment logs in on-line study, while wear terminal electrode paster, left ear ear clip and auris dextra ear clip, head motor paster, a left side
Ear ear clip and auris dextra ear clip can form micro-current loop, catch four kinds of human body electroencephalogram's ripple signals：Frequency be 0.5-3HZ δ ripples,
The β ripples that the α ripples and frequency that θ ripples that frequency is 4-8HZ, frequency are 8-13HZ are more than 14HZ, and by the brain of real-time acquisition testing
Electric wave carries out analog-to-digital conversion by analog-digital converter, by digital data transmission to microcontroller chip unit, process chip unit auxiliary
The data summarization of processing, portion storage are arrived server by microcontroller chip cell processing mass data, microcontroller chip unit, another
Interactive device is transferred to by wireless transport module, the brain wave of displaying digitized directly perceived is capable of by interactive device, helps to learn
Practise user in learning process according to brain wave situation of change, so as to judge the nervous journey of the entirety in learning process
Degree, the interest level to knowledge point, degree of fatigue and anxious state of mind situation, help to aid in parent or teacher to establish newly
Education refers to dimension, so as to improve learning efficiency and effect.
Brief description of the drawings
The accompanying drawing for forming the part of the present invention is used for providing a further understanding of the present invention, schematic reality of the invention
Apply example and its illustrate to be used to explain the present invention, do not form inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the functional module structure schematic diagram described in the embodiment of the present invention；
Fig. 2 is the electrical block diagram of the power supply chip unit of the present invention.
Embodiment
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
In the description of the invention, it is to be understood that term " " center ", " longitudinal direction ", " transverse direction ", " on ", " under ",
The orientation or position relationship of the instruction such as "front", "rear", "left", "right", " vertical ", " level ", " top ", " bottom ", " interior ", " outer " are
Based on orientation shown in the drawings or position relationship, it is for only for ease of the description present invention and simplifies description, rather than instruction or dark
Show that the device of meaning or element there must be specific orientation, with specific azimuth configuration and operation, thus it is it is not intended that right
The limitation of the present invention.
In the description of the invention, it is necessary to illustrate, unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " should be interpreted broadly, for example, it may be being fixedly connected or being detachably connected, or be integrally connected；Can
To be mechanical connection or electrical connection；Can be joined directly together, can also be indirectly connected by intermediary, Ke Yishi
The connection of two element internals.For the ordinary skill in the art, above-mentioned term can be understood by concrete condition
Concrete meaning in the present invention.
Describe the present invention in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
As shown in figure 1, the present invention, which provides a kind of brain wave that is based on, carries out web-based auxiliary learning system, including terminal electrode patch
Piece, left ear ear clip, auris dextra ear clip, digital analog converter, microcontroller chip unit, server, process chip unit, it is wirelessly transferred mould
Block, power supply chip unit and interactive device, the power supply chip unit power supply connect the digital analog converter, the microcontroller chip
Unit and the wireless transport module, the terminal electrode paster, the left ear ear clip and auris dextra ear clip collection brain wave
The input port of the analog-digital converter is connected respectively to after signal, the output port of the analog-digital converter is connected by bus
To the Serial Peripheral Interface of the microcontroller chip unit, the wireless transport module two-way signaling conducting connects the micro-control
The asynchronous receiving-transmitting coffret of chip unit, the wireless transport module connect the interactive device by communicating wireless signals,
The interactive device, which possesses, logs in online education platform, and the microcontroller chip unit and the process chip unit are connect by I/O
Mouth docking, the server are connected to the data transmission port of the microcontroller chip unit.
The terminal electrode paster fits in user head, and the left ear ear clip is placed at the left ear of user, described
Auris dextra ear clip is placed at user's auris dextra, and the head motor paster, the left ear ear clip and the auris dextra ear clip form micro-
Current loop, catch four kinds of human body electroencephalogram's ripple signals：θ ripples that δ ripples that frequency is 0.5-3HZ, frequency are 4-8HZ, frequency 8-
13HZ α ripples and frequency is more than 14HZ β ripples.
The interactive device includes TV, computer, mobile phone, TV box or VR equipment.
The wireless transport module includes Bluetooth communication modules or wifi transport modules.
The digital analog converter possesses the ADS7869 of 12 passages, 12 and serial-parallel interface.
The microcontroller chip unit is AVR single chip.
The process chip unit is digital processing chip.
As shown in Fig. 2 the power supply chip unit is SPX1117M-3.3 photovoltaic conversion chip.
The course of work of this example：Due to interactive device, wireless transport module, digital analog converter, microcontroller chip unit and
Process chip unit, more ripe volume prior art is used, so just do not list circuit connection diagram, innovation is in by brain point
Ripple detection is combined with on-line study system platform, only photovoltaic conversion chip, it is desirable to provide personalized level, shows circuit
Figure, as shown in Figure 2.
When user logs in on-line study by interactive device, while wear terminal electrode paster, left ear ear clip and auris dextra
Ear clip, head motor paster, left ear ear clip and auris dextra ear clip form micro-current loop, catch four kinds of human body electroencephalogram's ripple signals：Frequently
The β ripples that the α ripples and frequency that θ ripples that δ ripples that rate is 0.5-3HZ, frequency are 4-8HZ, frequency are 8-13HZ are more than 14HZ, and will
The brain wave of real-time acquisition testing carries out analog-to-digital conversion by analog-digital converter, by digital data transmission to microcontroller chip unit,
Process chip unit aids in microcontroller chip cell processing mass data, and microcontroller chip unit is by the data summarization of processing, Yi Fencun
Server is stored up, another is transferred to interactive device by wireless transport module, and numeral can be intuitively shown by interactive device
The brain wave of change, help to learn user in learning process according to brain wave situation of change, so as to judge learning
Overall tensity in journey, the interest level to knowledge point, degree of fatigue and anxious state of mind situation, help to aid in parent
Or teacher establishes new education and refers to dimension, so as to improve learning efficiency and effect.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God any modification, equivalent substitution and improvements made etc., should be included in the scope of the protection with principle.
Claims (8)
1. one kind carries out web-based auxiliary learning system based on brain wave, it is characterised in that：Including terminal electrode paster, Zuo Erer
Folder, auris dextra ear clip, digital analog converter, microcontroller chip unit, server, process chip unit, wireless transport module, power supply chip
Unit and interactive device, power supply chip unit power supply connect the digital analog converter, the microcontroller chip unit and described
Wireless transport module, the terminal electrode paster, the left ear ear clip and the auris dextra ear clip are distinguished after gathering eeg signal
The input port of the analog-digital converter is connected to, the output port of the analog-digital converter is connected to the micro-control by bus
The Serial Peripheral Interface of chip unit, the wireless transport module two-way signaling conducting connect the microcontroller chip unit
Asynchronous receiving-transmitting coffret, the wireless transport module connect the interactive device by communicating wireless signals, and the interaction is set
Online education platform is logged in for possessing, the microcontroller chip unit and the process chip unit are docked by I/O interfaces, described
Server is connected to the data transmission port of the microcontroller chip unit.
2. according to claim 1 carry out web-based auxiliary learning system based on brain wave, it is characterised in that：The head electricity
Pole paster fits in user head, and the left ear ear clip is placed at the left ear of user, and the auris dextra ear clip is placed in use
At person's auris dextra, the head motor paster, the left ear ear clip and the auris dextra ear clip form micro-current loop, catch four kinds of people
Body eeg signal：The α ripples and frequency that θ ripples that δ ripples that frequency is 0.5-3HZ, frequency are 4-8HZ, frequency are 8-13HZ be
More than 14HZ β ripples.
3. according to claim 1 carry out web-based auxiliary learning system based on brain wave, it is characterised in that：The interaction is set
It is standby to include TV, computer, mobile phone, TV box or VR equipment.
4. according to claim 1 carry out web-based auxiliary learning system based on brain wave, it is characterised in that：The wireless biography
Defeated module includes Bluetooth communication modules or wifi transport modules.
5. according to claim 1 carry out web-based auxiliary learning system based on brain wave, it is characterised in that：The digital-to-analogue turns
Parallel operation possesses the ADS7869 of 12 passages, 12 and serial-parallel interface.
6. according to claim 1 carry out web-based auxiliary learning system based on brain wave, it is characterised in that：The micro-control core
Blade unit is AVR single chip.
7. according to claim 1 carry out web-based auxiliary learning system based on brain wave, it is characterised in that：The processing core
Blade unit is digital processing chip.
8. according to claim 1 carry out web-based auxiliary learning system based on brain wave, it is characterised in that：The power supply core
Blade unit is SPX1117M-3.3 photovoltaic conversion chip.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710820621.8A CN107595282A (en) | 2017-09-13 | 2017-09-13 | One kind carries out web-based auxiliary learning system based on brain wave |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710820621.8A CN107595282A (en) | 2017-09-13 | 2017-09-13 | One kind carries out web-based auxiliary learning system based on brain wave |
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| Publication Number | Publication Date |
|---|---|
| CN107595282A true CN107595282A (en) | 2018-01-19 |
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| CN201710820621.8A Pending CN107595282A (en) | 2017-09-13 | 2017-09-13 | One kind carries out web-based auxiliary learning system based on brain wave |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111968422A (en) * | 2020-08-26 | 2020-11-20 | 江苏科技大学 | Biological information perception type bilingual hearing teaching aid and use method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1293551A (en) * | 1998-02-19 | 2001-05-02 | 曼德维福斯有限公司 | Method for determining individuals intensity of concentration |
| CN204332025U (en) * | 2014-05-09 | 2015-05-13 | 郑州信息科技职业学院 | A kind of pupil's wear-type learning state monitoring alarm set |
| US9324244B1 (en) * | 2010-05-15 | 2016-04-26 | David Sol | Distributed multi-nodal operant conditioning system and method |
| CN106910382A (en) * | 2017-05-03 | 2017-06-30 | 深圳市儒侠教育科技有限公司 | The autonomous on-line study method of course based on VR videos |
| CN107080535A (en) * | 2017-04-14 | 2017-08-22 | 东华大学 | A kind of study and work condition monitoring system based on single channel brain wave |
-
2017
- 2017-09-13 CN CN201710820621.8A patent/CN107595282A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1293551A (en) * | 1998-02-19 | 2001-05-02 | 曼德维福斯有限公司 | Method for determining individuals intensity of concentration |
| US9324244B1 (en) * | 2010-05-15 | 2016-04-26 | David Sol | Distributed multi-nodal operant conditioning system and method |
| CN204332025U (en) * | 2014-05-09 | 2015-05-13 | 郑州信息科技职业学院 | A kind of pupil's wear-type learning state monitoring alarm set |
| CN107080535A (en) * | 2017-04-14 | 2017-08-22 | 东华大学 | A kind of study and work condition monitoring system based on single channel brain wave |
| CN106910382A (en) * | 2017-05-03 | 2017-06-30 | 深圳市儒侠教育科技有限公司 | The autonomous on-line study method of course based on VR videos |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111968422A (en) * | 2020-08-26 | 2020-11-20 | 江苏科技大学 | Biological information perception type bilingual hearing teaching aid and use method |
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Application publication date: 20180119 |
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