CN104202644A - Standardized output method, device, set-top box and system for brain wave signals - Google Patents
Standardized output method, device, set-top box and system for brain wave signals Download PDFInfo
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Abstract
The invention relates to the technical field of set-top boxes, and provides a standardized output method, device, set-top box and system for brain wave signals. The standardized output method based on the set-top box comprises the steps of pre-acquisition of brain wave signals of a user, extraction of characteristic values, matching of the characteristic values and standardized output; the standardized output device based on the set-top box comprises a mark display module, a user brain wave signal receiving module, a characteristic value extraction module, a data base, a characteristic value matching module and a standardized output module, and is arranged on the set-top box; the standardized output system based on the set-top box comprises brain wave acquisition equipment and the set-top box. According to the invention, a group of characteristic values of the user is pre-acquired and stored to the data base to form a characteristic value matching base as comparison reference; the brain wave signals can be output in standard; the problem that brain wave signals cannot be output in standard in the prior art is solved.
Description
[technical field]
The present invention relates to set-top box technique field, particularly relate to a kind of eeg signal normalization output method, device, Set Top Box and system.
[background technology]
Acquiring brain waves technology, as current a kind of more novel technology, starts to be dissolved in some electronic equipments at leisure.By this technology, can directly gather the raw electrical signal of human brain, and extract characteristic value according to raw electrical signal, all can correspondingly there is a characteristic value in each group raw electrical signal.Have in the market some acquiring brain waves equipment, these acquiring brain waves equipment possess the characteristic of input equipment.
Using acquiring brain waves equipment as input equipment, for example, compare with current most of input equipment (mouse, keyboard, remote controller etc.), its advantage is that use is convenient, and user does not need to start, only just need to think of and can make corresponding control, and institute thinks to be gained; Its weak point is: brain electricity primary signal, as a complex set of analog signal, is difficult to realize similar keyboard, the such normalization output of remote controller, and the brain electricity primary signal that everyone produces for same control object is also not quite similar.
Given this, overcoming the existing defect of the prior art is the art problem demanding prompt solution.
[summary of the invention]
The technical problem to be solved in the present invention is to provide a kind of eeg signal normalization output method, device, Set Top Box and system, makes the eeg signal that is applied to Set Top Box control can realize normalization output, replaces traditional input equipment.
The present invention adopts following technical scheme:
An eeg signal normalization output method based on Set Top Box, proceeds as follows in advance:
User's eeg signal gathers in advance: on the display device being connected with described Set Top Box, show the corresponding sign of a certain operation, prompting user observes described sign, gathers in advance user's eeg signal as sampled data;
Characteristic value is extracted: the characteristic value of extracting the pre-eeg signal gathering, according to described characteristic value, calculate the concentration degree of attentiveness, when concentration degree stable when characteristic value and attentiveness reaches set point, preserve the database that is operated to of described characteristic value and current sign correspondence;
Carry out following steps:
Characteristic value coupling: the eeg signal that formally gathers user, and the characteristic value of the eeg signal of extraction collection, the characteristic value of the officially drawn sample of extraction is mated with the characteristic value of storing in database, and the match is successful obtains and the corresponding operation of eeg signal gathering;
Normalization output: the operation that coupling is obtained is corresponding with the data of one group of length-specific, exports described data as normalization output signal, carries out corresponding operational order according to described normalization output signal.
The present invention also provides a kind of eeg signal normalization output device based on Set Top Box, comprising:
Sign display module, for showing the corresponding sign of a certain operation on the display device being connected with described Set Top Box, prompting user observes described sign;
User's eeg signal receiver module, for receiving the pre-user's eeg signal gathering of acquiring brain waves equipment as sampled data, and receives the formal user's eeg signal gathering of acquiring brain waves equipment to carry out corresponding operational order;
Characteristic value extraction module, for extracting the characteristic value of the eeg signal of pre-collection, according to described characteristic value, calculate the concentration degree of attentiveness, when concentration degree stable when characteristic value and attentiveness reaches set point, preserve the database that is operated to of described characteristic value and current sign correspondence, and the characteristic value of extracting the formal eeg signal gathering;
Database, for storing the characteristic value of eeg signal of pre-collection and corresponding operation;
Characteristic value matching module, mates for the characteristic value that the characteristic value of the officially drawn sample of extraction is stored with database, and the match is successful obtains and the corresponding operation of eeg signal gathering;
Normalization output module, corresponding with the data of one group of length-specific for the operation that coupling is obtained, export described data as normalization output signal, according to described normalization output signal, carry out corresponding operational order.
The present invention also provides a kind of Set Top Box, is provided with the eeg signal normalization output device based on Set Top Box as above in described Set Top Box.
The present invention also provides a kind of eeg signal normalization output system based on Set Top Box, described system comprises acquiring brain waves equipment and Set Top Box as above, the eeg signal of described acquiring brain waves equipment collection is transferred to Set Top Box by wireless communication mode, eeg signal normalization output device outputting standard signal in described Set Top Box, Set Top Box is carried out and the corresponding operational order of described normalized signal.
Compared with prior art, beneficial effect of the present invention is: the present invention is stored to database by one group of user's of pre-collection characteristic value, form the storehouse reference as a comparison of characteristic value coupling, make the eeg signal can normalization output, solved the problem that eeg signal in prior art varies with each individual, can not normalization output, and the difficult unified problem of the agreement of various input equipments.Use technical solution of the present invention can replace traditional input equipment, improve user's experience.
[accompanying drawing explanation]
Fig. 1 is the flow chart of a kind of eeg signal normalization output method based on Set Top Box of providing of the embodiment of the present invention 1;
Fig. 2 is the method flow diagram of setting up characteristic value coupling storehouse in the embodiment of the present invention 1;
Fig. 3 is the structured flowchart of a kind of eeg signal normalization output device based on Set Top Box of providing of the embodiment of the present invention 2;
Fig. 4 is the schematic diagram of a kind of eeg signal normalization output system based on Set Top Box of providing of the embodiment of the present invention 4.
[embodiment]
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
In addition,, in each execution mode of described the present invention, involved technical characterictic just can not combine mutually as long as do not form each other conflict.
embodiment 1:
The embodiment of the present invention 1 provides a kind of eeg signal normalization output method based on Set Top Box, as shown in Figure 1, proceeds as follows in advance:
Step S1, user's eeg signal gather in advance;
On the display device being connected with Set Top Box, show the corresponding sign of a certain operation, prompting user observes sign, gathers in advance user's eeg signal as sampled data.This sign can be icon, numeral, word etc.This display device can be the devices such as television set.
Step S2, characteristic value are extracted;
Extract the characteristic value of the pre-eeg signal gathering, according to characteristic value, calculate the concentration degree of attentiveness, when concentration degree stable when characteristic value and attentiveness reaches set point, preserve the database that is operated to of characteristic value and current sign correspondence.
Step S1 and S2 loop, until the pre-collection of user's eeg signal of the corresponding sign of all operations of Set Top Box and characteristic value are extracted, all complete.
Carry out following steps:
Step S3, characteristic value coupling;
The formal eeg signal that gathers user, and the characteristic value of the eeg signal of extraction collection, mate the characteristic value of the officially drawn sample of extraction with the characteristic value of storing in database, the match is successful obtains and the corresponding operation of eeg signal gathering.
Step S4, normalization output;
The operation that coupling is obtained is corresponding with the data of one group of length-specific, and output data, as normalization output signal, are carried out corresponding operational order according to normalization output signal.
The database of preserving in characteristic value coupling and the pre-gatherer process of normalization output utilization, carries out contrast characteristic's value, obtains the operational order that user needs.
the foundation in characteristic value coupling storehouse:
Eeg signal same thing being produced at different time for same things or same operational order and same person due to everyone is not quite similar, different people for operational order " on ", in somebody's brain, can think always " on " font, somebody may go to think that some other things describes (for example rocket die etc.).For same person, in the time of different, same thing is also had to the different imaginations.If adopt the icon presetting as corresponding operational order, by its characteristic value of pre-collection, for follow-up contrast, mate, guaranteed the uniformity of signal.Therefore, step S1 and step S2 have set up characteristic value coupling storehouse, and its concrete implementation method as shown in Figure 2, comprises following detailed step:
Steps A 100, draw icons, prompting operation order;
The present embodiment is usingd icon and is described as being designated example.The general control action of Set Top Box has: menu, return, upper and lower, left and right etc., first for specific operational order, find corresponding icon, for example upper and lower, left and right can be depicted as the arrow icon, point to corresponding direction.When carrying out user's eeg signal, gather in advance, Set Top Box starts draw icons on television image, and points out the operation that current icon is corresponding.
Steps A 200, prompting user observe icon;
This step prompting user observation icon of need focusing one's attention on.
Steps A 300, collection eeg signal;
Steps A 400, judge whether signal, if having, performed step A500, otherwise returned to execution step A200;
Steps A 500, extraction characteristic value, calculate attentiveness concentration degree; Whether steps A 600, judging characteristic value are stablized and whether attentiveness is concentrated, if be all to perform step A700, otherwise return to execution step A500;
Also, when characteristic value is stable and the concentration degree of attentiveness reaches set point, preserve this characteristic value and current icon corresponding be operated to database.
Whether steps A 700, judgement collection complete, if perform step A800, otherwise return to execution step A100; Carry out like this test of icon one by one, until the eeg signal collection of all icons completes.
Steps A 800, preservation characteristic value are to database.
The stack features value that the preservation of this step is tested is above to database, for follow-up match control.So far, characteristic value coupling storehouse has been set up.For each user, set up behind its characteristic value coupling storehouse, during follow-up use, without building again storehouse, only need carry out characteristic value coupling and normalization output.
characteristic value is extracted:
Primary signal is exported by acquiring brain waves equipment, acquiring brain waves equipment all can comprise an acquiring brain waves chip, this chip directly connects dry electrode, generally comprises two electrodes: EEG electrode (brain wave acquisition point) and REF electrode (reference point).Two electrodes are sent into acquisition chip after difference gathers eeg signal, chip is through amplifier, filtering, A/D converter (Analog-to-Digital Converter, ADC) process signal is converted into digital signal, obtain after digital signal, acquisition chip internal analysis goes out 8 groups of independence brain wave data such as α, β, δ, γ, θ, and process and export focus and allowance exponent data, finally by universal asynchronous receiving-transmitting transmitter (Universal Asynchronous Receiver/Transmitter, UART) interface, exported.For original eeg signal, analyze focus and allowance index relatively easy, only need carry out common digital filtering and computing just can obtain more stable value.And extract and just need analyze extraction by special method for the characteristic value of α, β, δ, γ, θ signal.
The characteristic value detailed process of extracting α, β, δ, γ, θ signal is as follows:
When user observes different icons, the difference of eeg signal is embodied in the amplitude difference of signal, shape of waveform etc., has some parameters can be used for reflecting these features, for example:
Value and time from datum line (0V) to peak value;
Value and time from datum line (0V) to trough;
Utilize three points in signal waveforms uphill process to calculate the maximum (flex point) of the second order inverse in uphill process;
Utilize three points in signal waveforms decline process to calculate the maximum (flex point) of the second order inverse in decline process, etc.
The step of below characteristic value in the present embodiment being extracted is elaborated: after certain icon appears on television image, start to gather user's eeg signal, sample frequency is 256Hz, obtain α, β, δ, γ, θ etc. independently after brain wave data, start analyzing and processing, the alpha signal of now take describes as example, and acquisition time is 0.5s, can obtain 125 groups of data, concrete steps are as follows:
According to the feature of eeg signal, remove in sampled data the not misdata within preset range of amplitude, retain correct data, wherein preset range is: α ripple signal frequency 8-13Hz, amplitude 10-100uv; β ripple signal frequency 14-30Hz, amplitude 5-25uv; δ ripple signal frequency 0.5-3Hz, amplitude 20-200uv; θ ripple signal frequency 4-7Hz, amplitude 20-100uv;
According to three points in signal waveforms uphill process, calculate the maximum ((Y of second order inverse in uphill process
1-Y
2)/(T
1-T
2)-(Y
2-Y
3)/(T
2-T
3))/(T
1-T
3), Y wherein
1, Y
2and Y
3be the value of three some correspondences, T1, T2 and T3 are the time of three some correspondences;
Find the maximum in all sampled datas, calculate time T ime=N*tone, wherein N is the position of maximum in all sampled datas, and tone is off time, tone=1/f
sampling, f wherein
samplingfor gathering the number of times of eeg signal in the unit interval.
Finally, the maximum calculating and time are saved to database with corresponding operation, and step-up error coefficient μ (or becoming fault-tolerant coefficient).
Reduce as much as possible the parameter of judgement, contribute to the upper system resource overhead that reduces largely.In order to extract as few as possible feature, the differentiation of EEG signals can be realized by screening one group of larger picture of diversity ratio, in order to reduce the complexity of Eigenvalue Extraction Method.
attentiveness concentration degree is calculated:
Specifically can carry out in the following way the calculating of attentiveness concentration degree:
1) the simulation eeg signal collecting is amplified with filtering and process and obtain the simulation eeg signal that comprises α ripple, β ripple, δ ripple and θ ripple within the scope of 0.5Hz-30Hz;
2) by simulation eeg signal carry out after analog-to-digital conversion becomes digital brain electrical ripple signal carrying out the Fourier spectrum that Fourier transform obtains respectively α ripple, β ripple, θ ripple and δ ripple, by signal from space field transformation to frequency domain;
3) to the eeg signal collecting through amplifying after preliminary treatment, interference has obtained inhibition, but can not eliminate, in order to reduce spectrum leakage, to comprising that the digital brain electrical ripple signal of α ripple, β ripple, δ ripple and θ ripple carries out triumphant damp window and processes, through amplitude analysis, time domain analysis and frequency domain analysis, obtain the indices parameter of eeg signal.The brain wave index parameter obtaining in this step comprises allowance level and the focus level of quantification.Focus parameter represents subject's attentiveness concentration degree with the numerical value between 0-100; Allowance parameter represents subject's degree of relaxation with the numerical value between 0-100, numerical value is larger, shows that the current attentiveness concentration degree of user is higher.The set point of the concentration degree of the attentiveness of above mentioning can be set to a higher value, for example numerical value in 80-100.In the present embodiment, when characteristic value is stable and the concentration degree of attentiveness reaches set point 90, preserve this characteristic value and current icon corresponding be operated to database.
characteristic value coupling:
The same with the process of extracting characteristic value, the 0.5s that first samples obtains one group of data, then according to Eigenvalue Extraction Method above, extracts characteristic value;
From database, read successively the characteristic value of the pre-collection of user's eeg signal and the storage of characteristic value extraction step, by following formula, parameters mated:
(1-μ) * N
deposit<N & & N< (1+ μ) * N
deposit, N wherein
depositfor the characteristic value of storing in database, the characteristic value of N for extracting.
If parameter can all the match is successful for certain group, illustrate that user is just wishing to carry out this operation, send corresponding operational order.
normalization output:
Normalization output corresponding with the data of one group of length-specific a series of operational order.For example: the data length of a 24bits of definition, as outputting standard, comprises 4 fields, and each field represents different implications, as shown in table 1:
Table 1: data word segment table
| User ID (8bits) | Device id (8bits) | Key assignments (8bits) | Check digit (8bits) |
User ID: front 8Byte is used for identifying user ID, identifies different users.May one equipment can there are a lot of users simultaneously, in pre-acquisition phase, can be No. ID, one of this user assignment automatically, application can by this ID judgement be which user in operation, operating system also can be to use such as each ID distributing user permission.
Device id: device id is for identifying the equipment that needs control.The present embodiment is to take Set Top Box as example, but acquiring brain waves equipment also may be applied to other equipment, so device id can be used for identifying the equipment that needs control.
Key assignments: key value is for identifying the operation that needs execution.This value is relevant to the eeg signal collecting, and first needs analytical characteristic value and focus, while reaching matching condition, starts to mate with internal database, in the time of matching a certain operation, obtains corresponding key assignments, for normalization output.
Check digit: check digit is for guaranteeing that data are in the accuracy of transmitting procedure, and check digit generates by CRC check or parity check.
The present embodiment is stored to database by one group of user's of pre-collection characteristic value, form the storehouse reference as a comparison of characteristic value coupling, make the eeg signal can normalization output, solved the problem that eeg signal in prior art varies with each individual, can not normalization output, and the difficult unified problem of the agreement of various input equipments.The technical scheme of using the present embodiment to provide can replace traditional input equipment, improves user's experience.
embodiment 2:
The embodiment of the present invention 2 provides a kind of eeg signal normalization output device based on Set Top Box, comprises sign display module 100, user's eeg signal receiver module 200, characteristic value extraction module 300, database 400, characteristic value matching module 500 and normalization output module 600.Wherein:
Sign display module 100 is for showing the corresponding sign of a certain operation on the display device being connected with Set Top Box, and prompting user observes sign;
User's eeg signal receiver module 200 is for receiving the pre-user's eeg signal gathering of acquiring brain waves equipment as sampled data, and the user's eeg signal that receives the formal collection of acquiring brain waves equipment is to carry out corresponding operational order; Between user's eeg signal receiver module 200 and acquiring brain waves equipment, can pass through wireless mode communication, such as bluetooth, infrared, the mode such as Wifi, ZigBee, preferably adopt bluetooth.
Characteristic value extraction module 300 is for extracting the characteristic value of the eeg signal of pre-collection, according to characteristic value, calculate the concentration degree of attentiveness, when concentration degree stable when characteristic value and attentiveness reaches set point, preserve the database that is operated to of characteristic value and current sign correspondence, and the characteristic value of extracting the formal eeg signal gathering;
Database 400 is for storing the characteristic value of eeg signal of pre-collection and corresponding operation;
Characteristic value matching module 500 mates for the characteristic value that the characteristic value of the officially drawn sample of extraction is stored with database, and the match is successful obtains and the corresponding operation of eeg signal gathering;
Normalization output module 600 is corresponding with the data of one group of length-specific for the operation that coupling is obtained, and output data, as normalization output signal, are carried out corresponding operational order according to normalization output signal.
What deserves to be explained is, the contents such as the information interaction between the module in said apparatus, implementation, due to processing method embodiment of the present invention based on same design, particular content can, referring to the narration in the inventive method embodiment, repeat no more herein.
embodiment 3:
The embodiment of the present invention 3 provides a kind of Set Top Box, is provided with the eeg signal normalization output device based on Set Top Box that embodiment 2 provides in this Set Top Box, and this device can be used as application and is built in Set Top Box.
embodiment 4:
The embodiment of the present invention 4 provides a kind of eeg signal normalization output system based on Set Top Box, as shown in Figure 4, this system comprises the Set Top Box that acquiring brain waves equipment and embodiment 3 provide, the eeg signal of acquiring brain waves equipment is transferred to Set Top Box by wireless communication mode, eeg signal normalization output device outputting standard signal in Set Top Box, Set Top Box is carried out and the corresponding operational order of this normalized signal.
Wherein, wireless communication mode comprises bluetooth, infrared, the mode such as Wifi, ZigBee, preferably adopts bluetooth.
One of ordinary skill in the art will appreciate that all or part of step in the whole bag of tricks of embodiment is to come the hardware that instruction is relevant to complete by program, this program can be stored in a computer-readable recording medium, storage medium can comprise: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any modifications of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. the eeg signal normalization output method based on Set Top Box, is characterized in that, proceeds as follows in advance:
User's eeg signal gathers in advance: on the display device being connected with described Set Top Box, show the corresponding sign of a certain operation, prompting user observes described sign, gathers in advance user's eeg signal as sampled data;
Characteristic value is extracted: the characteristic value of extracting the pre-eeg signal gathering, according to described characteristic value, calculate the concentration degree of attentiveness, when concentration degree stable when characteristic value and attentiveness reaches set point, preserve the database that is operated to of described characteristic value and current sign correspondence;
Carry out following steps:
Characteristic value coupling: the eeg signal that formally gathers user, and the characteristic value of the eeg signal of extraction collection, the characteristic value of the officially drawn sample of extraction is mated with the characteristic value of storing in database, and the match is successful obtains and the corresponding operation of eeg signal gathering;
Normalization output: the operation that coupling is obtained is corresponding with the data of one group of length-specific, exports described data as normalization output signal, carries out corresponding operational order according to described normalization output signal.
2. the eeg signal normalization output method based on Set Top Box according to claim 1, it is characterized in that, the step cycle that the pre-collection of described user's eeg signal and characteristic value are extracted is carried out, until the pre-collection of user's eeg signal of the corresponding sign of all operations of described Set Top Box and characteristic value are extracted, all completes.
3. the eeg signal normalization output method based on Set Top Box according to claim 1, it is characterized in that, the characteristic value of extracting the eeg signal of collection in described characteristic value extraction step in the characteristic value of the pre-eeg signal gathering of extraction and described characteristic value coupling step specifically comprises:
According to the feature of eeg signal, remove in sampled data the not misdata within preset range of amplitude, retain correct data;
According to three points in signal waveforms uphill process, calculate the maximum ((Y of second order inverse in uphill process
1-Y
2)/(T
1-T
2)-(Y
2-Y
3)/(T
2-T
3))/(T
1-T
3), Y wherein
1, Y
2and Y
3for the value of described three some correspondences, T
1, T
2and T
3for the time of described three some correspondences;
Find the described maximum in all sampled datas, calculate time T ime=N*tone, wherein N is the position of maximum in all sampled datas, and tone is off time, tone=1/f
sampling, f wherein
samplingfor gathering the number of times of eeg signal in the unit interval.
4. the eeg signal normalization output method based on Set Top Box according to claim 3, is characterized in that, the step that is operated to database of the described characteristic value of described preservation and current sign correspondence specifically comprises:
The described maximum calculating and time are saved to database with corresponding operation, and step-up error coefficient μ.
5. the eeg signal normalization output method based on Set Top Box according to claim 4, is characterized in that, in described characteristic value coupling step, the characteristic value of extraction is mated specifically and is comprised with the characteristic value of storage in database:
From database, read successively the characteristic value of the pre-collection of user's eeg signal and the storage of characteristic value extraction step, by following formula, parameters mated:
(1-μ) * N
deposit<N & & N< (1+ μ) * N
deposit, N wherein
depositfor the characteristic value of storing in database, the characteristic value of N for extracting.
6. the eeg signal normalization output method based on Set Top Box according to claim 1, is characterized in that, the data of described length-specific comprise 4 fields:
User ID: described user ID is that pre-acquisition phase is No. ID of each user assignment automatically, for identifying different users;
Device id: described device id is for identifying the equipment that needs control;
Key assignments: described key value is for identifying the operation that needs execution;
Check digit: described check digit is for guaranteeing that data are in the accuracy of transmitting procedure, and check digit generates by CRC check or parity check.
7. the eeg signal normalization output device based on Set Top Box, is characterized in that, comprising:
Sign display module, for showing the corresponding sign of a certain operation on the display device being connected with described Set Top Box, prompting user observes described sign;
User's eeg signal receiver module, for receiving the pre-user's eeg signal gathering of acquiring brain waves equipment as sampled data, and receives the formal user's eeg signal gathering of acquiring brain waves equipment to carry out corresponding operational order;
Characteristic value extraction module, for extracting the characteristic value of the eeg signal of pre-collection, according to described characteristic value, calculate the concentration degree of attentiveness, when concentration degree stable when characteristic value and attentiveness reaches set point, preserve the database that is operated to of described characteristic value and current sign correspondence, and the characteristic value of extracting the formal eeg signal gathering;
Database, for storing the characteristic value of eeg signal of pre-collection and corresponding operation;
Characteristic value matching module, mates for the characteristic value that the characteristic value of the officially drawn sample of extraction is stored with database, and the match is successful obtains and the corresponding operation of eeg signal gathering;
Normalization output module, corresponding with the data of one group of length-specific for the operation that coupling is obtained, export described data as normalization output signal, according to described normalization output signal, carry out corresponding operational order.
8. the eeg signal normalization output device based on Set Top Box as claimed in claim 7, is characterized in that, described characteristic value extraction module extracts the characteristic value of eeg signal in the following way:
According to the feature of eeg signal, remove in sampled data the not misdata within preset range of amplitude, retain correct data;
According to three points in signal waveforms uphill process, calculate the maximum ((Y of second order inverse in uphill process
1-Y
2)/(T
1-T
2)-(Y
2-Y
3)/(T
2-T
3))/(T
1-T
3), Y wherein
1, Y
2and Y
3for the value of described three some correspondences, T
1, T
2and T
3for the time of described three some correspondences;
Find the described maximum in all sampled datas, calculate time T ime=N*tone, wherein N is the position of maximum in all sampled datas, and tone is off time, tone=1/f
sampling, f wherein
samplingfor gathering the number of times of eeg signal in the unit interval;
Characteristic value extraction module is preserved the database that is operated to of characteristic value and current sign correspondence in the following way: the described maximum calculating and time are saved to database with corresponding operation, and step-up error coefficient μ;
Described characteristic value matching module mates the characteristic value of extraction in the following way with the characteristic value of storage in database:
From database, read successively the characteristic value of the pre-collection of user's eeg signal and the storage of characteristic value extraction step, by following formula, parameters mated:
(1-μ) * N
deposit<N & & N< (1+ μ) * N
deposit, N wherein
depositfor the characteristic value of storing in database, the characteristic value of N for extracting.
9. a Set Top Box, is characterized in that, is provided with the eeg signal normalization output device based on Set Top Box as described in claim 7-8 any one in described Set Top Box.
10. the eeg signal normalization output system based on Set Top Box, it is characterized in that, described system comprises acquiring brain waves equipment and Set Top Box as claimed in claim 9, the eeg signal of described acquiring brain waves equipment collection is transferred to Set Top Box by wireless communication mode, eeg signal normalization output device outputting standard signal in described Set Top Box, Set Top Box is carried out and the corresponding operational order of described normalized signal.
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| CN105721108A (en) * | 2016-02-04 | 2016-06-29 | 深圳创达云睿智能科技有限公司 | Electroencephalogram information data transmission method and system |
| CN107024987A (en) * | 2017-03-20 | 2017-08-08 | 南京邮电大学 | A kind of real-time human brain Test of attention and training system based on EEG |
| CN108021127A (en) * | 2016-11-01 | 2018-05-11 | 江振豪 | The device and method moved using E.E.G control platform |
| CN108363530A (en) * | 2018-02-13 | 2018-08-03 | 广东欧珀移动通信有限公司 | Electronic device, method for playing music and related product |
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