CN106601075A - Brain wave input trainer - Google Patents
Brain wave input trainer Download PDFInfo
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- CN106601075A CN106601075A CN201710064784.8A CN201710064784A CN106601075A CN 106601075 A CN106601075 A CN 106601075A CN 201710064784 A CN201710064784 A CN 201710064784A CN 106601075 A CN106601075 A CN 106601075A
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- brain wave
- processor
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- mike
- input
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- 210000004556 brain Anatomy 0.000 title claims abstract description 90
- 238000012549 training Methods 0.000 claims abstract description 26
- 238000000034 method Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 description 9
- 230000007958 sleep Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 210000004027 cell Anatomy 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 230000002490 cerebral effect Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 230000003902 lesion Effects 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000001242 postsynaptic effect Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000033764 rhythmic process Effects 0.000 description 2
- 206010008190 Cerebrovascular accident Diseases 0.000 description 1
- 241000283153 Cetacea Species 0.000 description 1
- 241000699670 Mus sp. Species 0.000 description 1
- 208000006011 Stroke Diseases 0.000 description 1
- 230000000844 anti-bacterial effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000004958 brain cell Anatomy 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 210000003710 cerebral cortex Anatomy 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 210000003792 cranial nerve Anatomy 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000005059 dormancy Effects 0.000 description 1
- 206010014599 encephalitis Diseases 0.000 description 1
- 206010015037 epilepsy Diseases 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000007917 intracranial administration Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 210000002569 neuron Anatomy 0.000 description 1
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- 210000002763 pyramidal cell Anatomy 0.000 description 1
- 210000004761 scalp Anatomy 0.000 description 1
- 230000000542 thalamic effect Effects 0.000 description 1
- 230000001225 therapeutic effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
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- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses a brain wave input trainer which comprises a brain wave sensor which is connected to a processor. The processor is connected to a microphone which collects voice information. The brain wave sensor collects a brain wave. The processor carries out individual feature data modeling of the brain wave and the microphone voice information. According to the brain wave input trainer, the brain wave sensor is used to collect the brain wave, the microphone is used to collect the voice information, the processor carries out one-to-one matching and storing on the brain wave and the microphone voice information, thus the individual feature database of a user is formed, and after training is completed, a user can input a signal only by using the brain wave.
Description
Technical field
The present invention relates to training aidss field, more particularly to a kind of brain wave input training apparatus.
Background technology
Bio-electric phenomenon is one of basic feature of vital movement, and various biologies have the performance of electrical activity, greatly to whale,
It is little to antibacterial, have or strong or weak bio electricity.In fact, the English words of cell cell mono- also have the implication of battery, countless cells
A successively miniature baby battery is equivalent to, is bioelectric source.
Have in human brain many neurocytes activity, form the variation of electrical equipment, that is to say, that have the pendulum of electrical equipment
It is dynamic to exist, and this swing is presented on scientific instrument, it appears that just as fluctuation, the electrical equipment in brain shakes us and is referred to as
For E.E.G, with short to illustrate E.E.G, perhaps it may be said that it is the bioenergy by produced by brain cell, or brain
The rhythm of cellular activity.
Generally speaking, brain wave be brain in activity, the postsynaptic potential that a large amount of neurons synchronously occur is Jing after summation
Formed, electric wave change during its record cerebral activity is the bioelectrical activity of cranial nerve cell in cerebral cortex or scalp table
The overall reflection in face;Postsynaptic potential of the brain wave from pyramidal cell top dendron.The formation of the synchronization of brain wave rhythm and pace of moving things is also
It is relevant with the activity of cortex thalamic nonspecific projection system.
In time application, brain wave or electroencephalogram are a kind of than more sensitive objective indicator, can be not only used for brain section
Fundamental research, and prior meaning is the application of its clinical practice, the life and health breath breath with the mankind
It is related;Brain wave is necessity foundation for diagnosing epilepsy, and brain wave is for various intracranial lesions, such as apoplexy, encephalitis, cerebroma, generation
Thanking property cerebral lesion etc., also has very big diagnosis to help;E.E.G figure is still the most objective foundation of research sleep at present, is slept by monitoring
E.E.G change in dormancy, people can distinguish the different times in sleep.
The sleep state detector for sleep state analysis of the patent No. 201610843335.9, above carries from low frequency EEG signals
Brain wave is taken, K complex waves and δ ripples and statistical magnitude are detected from the brain wave, sentenced when quantity exceedes default amount threshold
The fixed user is currently at sleep state;One kind of the patent No. 201521141087.0 is known based on brain wave and iris and face
It is other it is compound discern can type self-destroyed identification system, then the preliminary technology of identification of brain wave is used in identification system;
A kind of therapeutic room that disease is treated by human body quantum effect of the patent No. 201610682795.8, then be used for medical science by brain wave
Field.
In December, 2015, in the 4th " Heavenly Palace cup " postgraduate's innovative experiment contest scene of Nanjing Aero-Space University, south
Boat student utilizes eeg signal, is successfully realized the takeoff and landing of manipulation unmanned plane;And in December, 2016 No. 18, CCTV
《Challenge is impossible》In program, complete jointly from the teachers and students of Zhejiang University and walk labyrinth with brain wave manipulation white mice, and
Scene, spreads Benin and sends instruction by the brain wave idea of oneself, successfully controls electrode other end experience brain wave equipment
The finger of Wang Lihong, this also illustrates people when different instructions are made, and the brain wave of formation is discrepant, and different
, when identical thing is done, brain wave is although similar but still has differences, if it is desired that trick is represented with brain wave carrying out for people
Control, then need certain training.
The content of the invention
The present invention is a kind of brain wave input training apparatus of offer that solve the above problems, using brain wave sensor collection brain electricity
Ripple, gathers voice messaging, so as to form the individual characteristicss data base of a user within a processor using mike.
For achieving the above object, the effect above is reached, the present invention is achieved through the following technical solutions:
A kind of brain wave input training apparatus, including brain wave sensor, the brain wave sensor is connected with processor, and processor connects
It is connected to mike, mike collection voice messaging, brain wave sensor collection brain wave, processor is by brain wave and mike language
Message breath carries out individual characteristicss data modeling.
Used as a kind of optimal way of the present invention, brain wave input training apparatus also include suggestion device, the suggestion device
Wirelessly it is connected with processor, suggestion device is the speaker that can send voice message or the display device that can carry out screen prompt,
User is set to be trained according to prompting, so as to reach more preferably training effect.
The brain wave carried out using brain wave input training apparatus is input into training method, comprises the following steps:
S1, user wear brain wave sensor, and start mike and processor;
S2, voice message user are with reading;
, when carrying out with reading, mike gathers voice messaging of the user with reading for S3, user, and brain wave sensor gathers the brain of user
Electric wave;
S4, processor the voice messaging for receiving and brain wave are matched one by one it is corresponding, so as to set up individual characteristicss number
According to modeling storehouse.
After training terminates, user can be carrying out input control using brain wave.
A kind of optimal way of training method is input into as brain wave, step S1 can be replaced with:Screen prompt user
Read shown information.
The invention has the beneficial effects as follows:
A kind of brain wave input training apparatus, using brain wave sensor brain wave is gathered, and using mike voice messaging, place are gathered
Brain wave and mike voice messaging are matched one by one and stored by reason device, so as to form the individual characteristicss data of a user
Storehouse, after the completion of training, user just only can use brain wave input signal.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of description, below with presently preferred embodiments of the present invention and coordinate accompanying drawing describe in detail as after,
The specific embodiment of the present invention is shown in detail in by following examples and its accompanying drawing.
Description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this
Bright schematic description and description does not constitute inappropriate limitation of the present invention for explaining the present invention.In the accompanying drawings:
Fig. 1 is the schematic diagram of brain wave input training apparatus according to the present invention;
Wherein, above-mentioned accompanying drawing includes drawings described below labelling:Mike 1, brain wave sensor 2, processor 3, computer 4.
Specific embodiment
Below with reference to the accompanying drawings and in conjunction with the embodiments describing the present invention in detail:
It is the preferred embodiments of the present invention as shown in figure 1, a kind of brain wave input training apparatus, including mike 1, brain wave is passed
Sensor 2, processor 3, and make suggestion device using computer 4, wherein, mike 1, brain wave sensor 2 are connected with processor,
Computer 4 is wirelessly connected with processor 3.
Wherein, computer 4 shows the information to be gathered, and the collection user of mike 1 reads the voice messaging of the information, brain wave
Sensor 2 is used for gathering the brain wave of the information, and voice messaging and brain wave are transmitted together to processor 3, will be closed by processor 3
Matched one by one in the voice messaging and brain wave of the information, so as to set up the individual characteristicss data base of user, in training
After the completion of, user only can carry out input control using brain wave.
According to above-mentioned brain wave input training apparatus, training method is input into regard to the brain wave of user, is comprised the following steps that:
S1, user wear brain wave sensor(2), and start mike(1)And processor(3);
S2, on computer 4 show the information to be gathered;
When S3, user read the information to be gathered, mike(1)Gather voice messaging of the user with reading, brain wave sensor(2)
The brain wave of collection user;
S4, processor(3)The voice messaging for receiving and brain wave are matched one by one it is corresponding, so as to set up individual characteristicss
Data modeling storehouse.
For the ease of further instruction, the actual object being introduced in life is further described with reference to the present invention, than
As on computers typewriting input is to use keyboard, user reads after brain wave sensor 2, one by one on wearing and own on keyboard
Key mapping information, and while gather brain wave information, after the completion of collection is finished and trained, user carry out in brain phonetic or
Five, it is possible to get the word on computers, ibid, the key mapping of Training Control TV remote controller makes user not being open,
Just television set can be remotely controlled by remote control.
The second embodiment of the present invention, in preferred embodiment, by computer 4 speaker is changed into, speaker with process
Device connects, and points out user to carry out with reading by voice.
The third embodiment of the present invention, in preferred embodiment, removes computer, increases a display interface or voice
Interface after user's grafting for using.
The above, only presently preferred embodiments of the present invention not makees any pro forma restriction to the present invention;It is all
The those of ordinary skill of the industry can shown in by specification accompanying drawing and the above and swimmingly implement the present invention;But, it is all
Those skilled in the art are done in the range of without departing from technical solution of the present invention using disclosed above technology contents
A little change, modification and the equivalent variations for developing for going out, are the Equivalent embodiments of the present invention;Meanwhile, it is all according to the present invention's
Change, modification and differentiation of any equivalent variations that substantial technological is made to above example etc., still fall within the skill of the present invention
Within the protection domain of art scheme.
Claims (4)
1. a kind of brain wave input training apparatus, including brain wave sensor(2), it is characterised in that:The brain wave sensor(2)
It is connected with processor(3), the processor(3)It is connected with mike(1), the processor(3)By brain wave sensor(2)Adopt
The brain wave and mike of collection(1)The voice signal for collecting carries out individual characteristicss data modeling.
2. brain wave input training apparatus according to claim 1, it is characterised in that:The brain wave input training apparatus are also wrapped
Suggestion device is included, the suggestion device is wirelessly connected with processor, the suggestion device is to send raising one's voice for voice message
Device can carry out the display device of screen prompt.
3. a kind of brain wave is input into training method, it is characterised in that:Comprise the following steps:
S1, user wear brain wave sensor(2), and start mike(1)And processor(3);
S2, voice message user are with reading;
S3, user carry out with read when, mike(1)Gather voice messaging of the user with reading, brain wave sensor(2)Collection is used
The brain wave at family;
S4, processor(3)The voice messaging for receiving and brain wave are matched one by one it is corresponding, so as to set up individual characteristicss
Data modeling storehouse.
4. brain wave according to claim 3 is input into training method, it is characterised in that:Step S2 is replaced with:Screen is carried
Show that user reads shown information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710064784.8A CN106601075A (en) | 2017-02-05 | 2017-02-05 | Brain wave input trainer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710064784.8A CN106601075A (en) | 2017-02-05 | 2017-02-05 | Brain wave input trainer |
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| Publication Number | Publication Date |
|---|---|
| CN106601075A true CN106601075A (en) | 2017-04-26 |
Family
ID=58586804
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710064784.8A Pending CN106601075A (en) | 2017-02-05 | 2017-02-05 | Brain wave input trainer |
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| Country | Link |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110413125A (en) * | 2019-08-02 | 2019-11-05 | 广州市纳能环保技术开发有限公司 | Brainwave-based conversion method, electronic device and storage medium |
| CN113589935A (en) * | 2021-08-03 | 2021-11-02 | 李俊豪 | Brain wave interaction method based on artificial intelligence and brain-computer interface cloud server |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102474696A (en) * | 2009-07-13 | 2012-05-23 | 唯听助听器公司 | Hearing aid adapted to detect brain waves and method for adapting such hearing aid |
| CN102999701A (en) * | 2012-11-28 | 2013-03-27 | 电子科技大学 | Brain wave music generation method |
| CN103646587A (en) * | 2013-12-05 | 2014-03-19 | 北京京东方光电科技有限公司 | deaf-mute people |
| CN203988071U (en) * | 2014-01-13 | 2014-12-10 | 张健 | Simulated environment hearing aid fitting instrument |
| CN104606763A (en) * | 2015-01-30 | 2015-05-13 | 上海泰亿格康复医疗科技股份有限公司 | Audio-visual comprehensive training aid based on brain wave induction and audio visualization technology |
-
2017
- 2017-02-05 CN CN201710064784.8A patent/CN106601075A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102474696A (en) * | 2009-07-13 | 2012-05-23 | 唯听助听器公司 | Hearing aid adapted to detect brain waves and method for adapting such hearing aid |
| CN102999701A (en) * | 2012-11-28 | 2013-03-27 | 电子科技大学 | Brain wave music generation method |
| CN103646587A (en) * | 2013-12-05 | 2014-03-19 | 北京京东方光电科技有限公司 | deaf-mute people |
| CN203988071U (en) * | 2014-01-13 | 2014-12-10 | 张健 | Simulated environment hearing aid fitting instrument |
| CN104606763A (en) * | 2015-01-30 | 2015-05-13 | 上海泰亿格康复医疗科技股份有限公司 | Audio-visual comprehensive training aid based on brain wave induction and audio visualization technology |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110413125A (en) * | 2019-08-02 | 2019-11-05 | 广州市纳能环保技术开发有限公司 | Brainwave-based conversion method, electronic device and storage medium |
| CN113589935A (en) * | 2021-08-03 | 2021-11-02 | 李俊豪 | Brain wave interaction method based on artificial intelligence and brain-computer interface cloud server |
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Application publication date: 20170426 |
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