CN104202644B - Eeg signal normalization output method, device, Set Top Box and system - Google Patents

Eeg signal normalization output method, device, Set Top Box and system Download PDF

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Publication number
CN104202644B
CN104202644B CN201410515182.6A CN201410515182A CN104202644B CN 104202644 B CN104202644 B CN 104202644B CN 201410515182 A CN201410515182 A CN 201410515182A CN 104202644 B CN104202644 B CN 104202644B
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eeg signal
characteristic value
top box
set top
database
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CN104202644A (en
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武照元
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Shenzhen Jiuzhou Electric Appliance Co Ltd
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Shenzhen Jiuzhou Electric Appliance Co Ltd
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Abstract

The present invention relates to set-top box technique field, there is provided a kind of eeg signal normalization output method, device, Set Top Box and system.Eeg signal normalization output method based on Set Top Box includes user's eeg signal pre-acquired, characteristics extraction, characteristic value matching and normalization output;Eeg signal normalization output device based on Set Top Box includes mark display module, user's eeg signal receiver module, characteristics extraction module, database, characteristic value matching module and normalization output module;Set Top Box is provided with the eeg signal normalization output device based on Set Top Box as described above;Eeg signal normalization output system based on Set Top Box includes acquiring brain waves equipment and Set Top Box as described above.The present invention is stored to database by the characteristic value of one group of user of pre-acquired, is formed characteristic value matching library and is referred to as a comparison, enables eeg signal normalization output, solves the problems, such as that eeg signal is unable to normalization output in the prior art.

Description

Eeg signal normalization output method, device, Set Top Box and system
【Technical field】
The present invention relates to set-top box technique field, more particularly to a kind of eeg signal normalization output method, device, Set Top Box and system.
【Background technology】
Acquiring brain waves technology starts to be dissolved into some electronic equipments at leisure as a kind of current relatively new technology In.The raw electrical signal of human brain can be directly gathered by this technology, and characteristic value is extracted according to raw electrical signal, it is each Group raw electrical signal can all be corresponded to has a characteristic value.Some acquiring brain waves equipment, these brains electricity are had in the market Ripple collecting device possesses the characteristic of input equipment.
Using acquiring brain waves equipment as input equipment, with current most of input equipment (such as mouse, keyboard, distant Control device etc.) compare, its advantage is that user need not start using more facilitating, only need to think of can just make it is corresponding Control, think i.e. gained;Its weak point is:Brain electricity primary signal is difficult to realize class as a complex set of analog signal The normalization output like as keyboard, remote control, and everyone is for the brain electricity primary signal produced by same control purpose Also it is not quite similar.
In consideration of it, it is the art problem demanding prompt solution to overcome the defect existing for the prior art.
【The content 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, the eeg signal for being applied to Set Top Box control is realized normalization output, replace conventional input device.
The present invention is adopted the following technical scheme that:
A kind of eeg signal normalization output method based on Set Top Box, proceeds as follows in advance:
User's eeg signal pre-acquired:Shown on the display device being connected with the Set Top Box corresponding to a certain operation Mark, point out user to observe the mark, the eeg signal of pre-acquired user is used as sampled data;
Characteristics extraction:The characteristic value of the eeg signal of pre-acquired is extracted, notice is calculated according to the characteristic value Concentration degree, when the concentration degree of feature value stabilization and notice reaches setting value, preserves the characteristic value corresponding with current identification Operation to database;
Perform following steps:
Characteristic value is matched:The eeg signal of formal collection user, and the characteristic value of the eeg signal of collection is extracted, will The characteristic value of the officially drawn sample of extraction is matched with the characteristic value stored in database, and the match is successful then obtains and the brain for gathering Operation corresponding to electric wave signal;
Normalization output:The operation for obtaining will be matched corresponding with the data of one group of length-specific, export the data conduct Normalization output signal, corresponding operational order is performed according to the normalization output signal.
Present invention also offers a kind of eeg signal normalization output device based on Set Top Box, including:
Mark display module, for showing the mark corresponding to a certain operation on the display device being connected with the Set Top Box Know, point out user to observe the mark;
User's eeg signal receiver module, the user's eeg signal for receiving acquiring brain waves equipment pre-acquired is made It is sampled data, and receives user's eeg signal of the formal collection of acquiring brain waves equipment to perform corresponding operation life Order;
Characteristics extraction module, the characteristic value of the eeg signal for extracting pre-acquired is calculated according to the characteristic value The concentration degree of notice, when the concentration degree of feature value stabilization and notice reaches setting value, preserves the characteristic value and current The corresponding operation of mark is to database, and the characteristic value for extracting the eeg signal of formal collection;
Database, for the characteristic value for storing the eeg signal of pre-acquired and corresponding operation;
Characteristic value matching module, for the characteristic value of the officially drawn sample of extraction to be carried out with the characteristic value of storage in database Matching, the match is successful then obtains and the operation corresponding to the eeg signal for gathering;
Normalization output module, the operation for that will match acquisition is corresponding with the data of one group of length-specific, and output is described Data perform corresponding operational order as normalization output signal according to the normalization output signal.
Present invention also offers a kind of Set Top Box, the brain electricity based on Set Top Box as described above is provided with the Set Top Box Ripple signal normalization output device.
Present invention also offers a kind of eeg signal normalization output system based on Set Top Box, the system includes brain Electric wave collecting device and Set Top Box as described above, the eeg signal of the acquiring brain waves equipment collection pass through wireless telecommunications Mode is transferred to Set Top Box, the eeg signal normalization output device outputting standard signal in the Set Top Box, Set Top Box Perform operational order corresponding with the normalized signal.
Compared with prior art, the beneficial effects of the present invention are:The present invention passes through one group of characteristic value of user of pre-acquired Store to database, form characteristic value matching library and refer to as a comparison, enable eeg signal normalization output, solve existing There is eeg signal in technology to vary with each individual, be unable to the problem of normalization output, and the agreement of various input equipments is difficult unified Problem.Can replace conventional input device using technical solution of the present invention, improve Consumer's Experience.
【Brief description of the drawings】
Fig. 1 is a kind of stream of eeg signal normalization output method based on Set Top Box that the embodiment of the present invention 1 is provided Cheng Tu;
Fig. 2 is the method flow diagram that characteristic value matching library is set up in the embodiment of the present invention 1;
Fig. 3 is a kind of knot of eeg signal normalization output device based on Set Top Box that the embodiment of the present invention 2 is provided Structure block diagram;
Fig. 4 is a kind of showing for eeg signal normalization output system based on Set Top Box that the embodiment of the present invention 4 is provided It is intended to.
【Specific embodiment】
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.
As long as additionally, technical characteristic involved in invention described below each implementation method is each other not Constituting conflict can just be mutually combined.
Embodiment 1:
The embodiment of the present invention 1 provides a kind of eeg signal normalization output method based on Set Top Box, such as Fig. 1 institutes Show, proceed as follows in advance:
Step S1, user's eeg signal pre-acquired;
The mark corresponding to a certain operation is shown on the display device being connected with Set Top Box, user is pointed out observation mark, The eeg signal of pre-acquired user is used as sampled data.The mark can be icon, numeral, word etc..The display device can Being the devices such as television set.
Step S2, characteristics extraction;
The characteristic value of the eeg signal of pre-acquired is extracted, the concentration degree of notice is calculated according to characteristic value, work as characteristic value When the concentration degree of stabilization and notice reaches setting value, characteristic value and the corresponding operation of current identification to database are preserved.
Step S1 and S2 circulation are carried out, until user's eeg signal of the mark corresponding to all operations of Set Top Box is pre- Collection and characteristics extraction are fully completed.
Perform following steps:
Step S3, characteristic value matching;
The eeg signal of formal collection user, and the characteristic value of the eeg signal of collection is extracted, it is formal by what is extracted The characteristic value of sampling is matched with the characteristic value stored in database, and the match is successful then obtains and the eeg signal institute for gathering Corresponding operation.
Step S4, normalization output;
Will match obtain operation it is corresponding with the data of one group of length-specific, output data as normalization output signal, Corresponding operational order is performed according to normalization output signal.
Characteristic value is matched and normalization output is using the database preserved during pre-acquired, carries out contrast characteristic's value, is obtained To the operational order that user needs.
The foundation of characteristic value matching library:
Due to everyone for same things or same operational order and same person in different time to same Eeg signal produced by one things is not quite similar, different people to operational order " on " for, meeting in the brain of somebody Think always " on " font, somebody may remove to think some other things describing in (such as rocket die etc.). For same person, the different imaginations are also had when different to same thing.If made using the icon for presetting It is corresponding operational order, by pre-acquired, its characteristic value is used for follow-up contrast matching, then ensure that the uniformity of signal.Cause This, step S1 and step S2 establish characteristic value matching library, and its concrete implementation method is as shown in Fig. 2 including following detailed Step:
Step A100, drafting icon, point out operational order;
The present embodiment using icon as mark as a example by illustrate.The general control action of Set Top Box has:Menu, return, Upper and lower, left and right etc., corresponding icon is found first against specific operational order, and such as upper and lower, left and right can draw Into the arrow icon, corresponding direction is pointed to.When user's eeg signal pre-acquired is carried out, Set Top Box starts to paint on television image Drawing mark, and point out current icon corresponding operation.
Step A200, prompting user's observation icon;
This step prompting user need to focus on observing icon.
Step A300, collection eeg signal;
Step A400, signal is determined whether, step A500 is performed if having, otherwise returned and perform step A200;
Step A500, extraction characteristic value, calculate notice concentration degree;Whether step A600, judging characteristic value are stable and note Whether meaning power is concentrated, and step A700 is performed if being all, is otherwise returned and is performed step A500;
That is, when the concentration degree of feature value stabilization and notice reaches setting value, preserving this feature value and current icon It is corresponding to operate to database.
Step A700, judge whether collection completes, if then performing step A800, otherwise return and perform step A100;This Sample carries out the test of icon one by one, until the eeg signal collection of all icons is completed.
Step A800, preservation characteristic value to database.
This step preserves the one group of characteristic value above tested to database, for follow-up match control.So far, characteristic value Matching library is set up and is completed.For each user, after setting up its characteristic value matching library, without building storehouse again when subsequently using, need to only enter Row characteristic value is matched and normalization output.
Characteristics extraction:
Primary signal is exported by acquiring brain waves equipment, and acquiring brain waves equipment can all include an acquiring brain waves Chip, the chip is directly connected to dry electrode, generally comprises two electrodes:EEG electrodes (brain wave acquisition point) and (reference of REF electrodes Point)., by sending into acquisition chip after difference collection eeg signal, chip is through amplifier, filtering, A/D converter for two electrodes (Analog-to-Digital Converter, ADC) treatment converts the signal to data signal, after obtaining data signal, collection Chip internal analyzes 8 groups of independence brain wave datas such as α, β, δ, γ, θ, and processes output focus and allowance exponent data, Finally connect by universal asynchronous receiving-transmitting transmitter (Universal Asynchronous Receiver/Transmitter, UART) Mouth output.For original eeg signal, analysis focus and allowance index are relatively easy, need to only carry out common numeral filter Ripple and computing just can obtain relatively stable value.And just needed by special side for the characteristics extraction of α, β, δ, γ, θ signal Method is analyzed extraction.
The characteristic value detailed process for 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, the shape of waveform Etc., there are some parameters can be for reflecting these features, such as:
Value and time from datum line (0V) to peak value;
Value and time from datum line (0V) to trough;
The maximum for calculating the second dervative in uphill process using three points in signal waveforms uphill process (is turned Point);
The maximum that three points during being declined using signal waveforms calculate the second dervative during declining (is turned Point), etc..
Below to being described in detail the step of characteristics extraction in the present embodiment:When certain icon appears in television image After upper, start to gather the eeg signal of user, sample frequency is 256Hz, obtains the independent brain wave such as α, β, δ, γ, θ After data, start analyzing and processing, now illustrated by taking alpha signal as an example, acquisition time is 0.5s, can obtain 125 groups of data, Comprise the following steps that:
According to the feature of eeg signal, remove wrong data of the amplitude not within preset range in sampled data, protect Correct data is stayed, wherein preset range is:α ripples signal frequency 8-13Hz, amplitude 10-100uv;β ripple signal frequency 14-30Hz, Amplitude 5-25uv;δ ripples signal frequency 0.5-3Hz, amplitude 20-200uv;θ ripples signal frequency 4-7Hz, amplitude 20-100uv;
Three points in signal waveforms uphill process calculate the maximum ((Y of second dervative in uphill process1- Y2)/(T1-T2)-(Y2-Y3)/(T2-T3))/(T1-T3), wherein Y1、Y2And Y3It is the corresponding value of three points, T1, T2 and T3 are three The individual point corresponding time;
The maximum in all sampled datas is found, time Time=N*tone is calculated, wherein N is maximum all Position in sampled data, tone is off time, tone=1/fSampling, wherein fSamplingTo gather eeg signal in the unit time Number of times.
Finally, the maximum and time that will be calculated are preserved to database, and step-up error coefficient μ with corresponding operation (or as fault-tolerant coefficient).
The parameter for judging is reduced as far as, helps largely to reduce system resource overhead.In order to as few as possible Ground extracts feature, can realize the differentiation of EEG signals by screening one group of larger picture of diversity ratio, is used to reduce feature It is worth the complexity of extracting method.
Notice concentration degree is calculated:
Specifically can in the following way carry out the calculating of notice concentration degree:
1) the simulation eeg signal that will be collected is amplified the bag obtained with filtering process in the range of 0.5Hz-30Hz Include the simulation eeg signal of α ripples, β ripples, δ ripples and θ ripples;
2) simulation eeg signal is carried out into analog-to-digital conversion into carrying out Fourier transformation after digital brain electrical ripple signal respectively To the Fourier spectrum of α ripples, β ripples, θ ripples and δ ripples, by signal from space field transformation to frequency domain;
3) to the eeg signal that collects after amplifying pretreatment, interference is suppressed, but will not be eliminated, and is Reduction spectrum leakage, carries out to the digital brain electrical ripple signal including α ripples, β ripples, δ ripples and θ ripples triumphant damp window treatment, through amplitude point Analysis, time domain analysis and frequency domain analysis obtain the indices parameter of eeg signal.The brain wave obtained in this step refers to Mark parameter includes the allowance level and focus level that quantify.Focus parameter represents tested with the numerical value between 0-100 The notice concentration degree of person;Allowance parameter represents the degree of relaxation of subject with the numerical value between 0-100, and numerical value is bigger, Then show that the current notice concentration degree of user is higher.The setting value of the concentration degree of the notice being mentioned above may be configured as one Numerical value in value higher, such as 80-100.In the present embodiment, when the concentration degree of feature value stabilization and notice reaches setting value When 90, this feature value and the corresponding operation of current icon to database are preserved.
Characteristic value is matched:
As the process of characteristic value is extracted, the 0.5s that samples first obtains one group of data, then according to characteristic value above Extracting method extracts characteristic value;
The characteristic value of user's eeg signal pre-acquired and the storage of characteristics extraction step is successively read from database, is led to Below equation is crossed to match parameters:
(1-μ)*NDeposit<N&&N<(1+μ)*NDeposit, wherein NDepositIt is the characteristic value stored in database, N is the characteristic value extracted.
If parameter can all the match is successful for certain group, illustrate that user is just being desired with this operation, send corresponding Operational order.
Normalization output:
Normalization output is that a series of operational order is corresponding with the data of one group of length-specific.For example:Define one The data length of 24bits is used as outputting standard, including 4 fields, the different implication of each field references, as shown in table 1:
Table 1:Data word segment table
ID (8bits) Device id (8bits) Key assignments (8bits) Check bit (8bits)
ID:Preceding 8Byte is used for identifying user ID, identifies different users.A possible equipment can exist very simultaneously Multiple users, the pre-acquired stage can automatically for the user distribute one No. ID, using can by this ID judge which be Individual user can also use in operation, operating system to each ID distributing user permission etc..
Device id:Device id needs device to be controlled for mark.The present embodiment be by taking Set Top Box as an example, but brain wave Collecting device is likely to that other equipment can be applied to, therefore device id can be used to mark and need device to be controlled.
Key assignments:Key assignments needs operation to be performed for mark.The value is related to the eeg signal for collecting, and needs first point Analysis characteristic value and focus, when reaching matching condition, start to match with internal database, when can match a certain operation, obtain To corresponding key assignments, for normalization output.
Check bit:Check bit is used to ensure accuracy of the data in transmitting procedure that check bit to pass through CRC check or odd even Verification generation.
The present embodiment is stored to database by the characteristic value of one group of user of pre-acquired, forms characteristic value matching library as right Than reference, enable eeg signal normalization output, solve eeg signal in the prior art and vary with each individual, be unable to standard Change the problem of output, and various input equipments the difficult unified problem of agreement.The technical scheme energy provided using the present embodiment Enough replace conventional input device, improve Consumer'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, including mark Display module 100, user's eeg signal receiver module 200, characteristics extraction module 300, the matching of database 400, characteristic value Module 500 and normalization output module 600.Wherein:
Mark display module 100 is used to show the mark corresponding to a certain operation on the display device being connected with Set Top Box Know, point out user observation mark;
User's eeg signal receiver module 200 is used to receive user's eeg signal of acquiring brain waves equipment pre-acquired As sampled data, and user's eeg signal of the formal collection of acquiring brain waves equipment is received to perform corresponding operation life Order;Can wirelessly be communicated between user's eeg signal receiver module 200 and acquiring brain waves equipment, such as bluetooth, The modes such as infrared, Wifi, ZigBee, it is preferred to use bluetooth.
Characteristics extraction module 300 is used for the characteristic value of the eeg signal for extracting pre-acquired, is calculated according to characteristic value and noted The concentration degree of power of anticipating, when the concentration degree of feature value stabilization and notice reaches setting value, preserves characteristic value and current identification pair The operation answered is to database, and the characteristic value for extracting the eeg signal of formal collection;
Database 400 is used for the characteristic value of the eeg signal for storing pre-acquired and corresponding operation;
Characteristic value matching module 500 is used to enter the characteristic value of the officially drawn sample of extraction with the characteristic value of storage in database Row matching, the match is successful then obtains and the operation corresponding to the eeg signal for gathering;
The operation that normalization output module 600 is used to match acquisition is corresponding with the data of one group of length-specific, exports number According to as normalization output signal, corresponding operational order is performed according to normalization output signal.
What deserves to be explained is, the content such as the information exchange between module, implementation procedure in said apparatus, due to this hair Bright processing method embodiment is based on same design, and particular content can be found in the narration in the inventive method embodiment, herein not Repeat again.
Embodiment 3:
The embodiment of the present invention 3 provide a kind of Set Top Box, be provided with the Set Top Box embodiment 2 offer based on Set Top Box Eeg signal normalization output device, the device can as application be built into 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, such as Fig. 4 institutes Show, the system includes the Set Top Box that acquiring brain waves equipment and embodiment 3 are provided, the eeg signal of acquiring brain waves equipment leads to Cross wireless communication mode and be transferred to Set Top Box, the eeg signal normalization output device outputting standard signal in Set Top Box, Set Top Box performs operational order corresponding with the normalized signal.
Wherein, the wireless communication mode mode such as including bluetooth, infrared, Wifi, ZigBee, it is preferred to use bluetooth.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of embodiment can be logical Program is crossed to instruct the hardware of correlation to complete, the program can be stored in a computer-readable recording medium, storage medium Can include:Read-only storage (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or CD etc..
Presently preferred embodiments of the present invention is the foregoing is only, is not intended to limit the invention, it is all in essence of the invention Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.

Claims (9)

1. a kind of eeg signal normalization output method based on Set Top Box, it is characterised in that proceed as follows in advance:
User's eeg signal pre-acquired:The mark corresponding to a certain operation is shown on the display device being connected with the Set Top Box Know, point out user to observe the mark, the eeg signal corresponding with the mark of pre-acquired user is used as sampled data;
Characteristics extraction:The characteristic value of the eeg signal of pre-acquired is extracted, the concentration of notice is calculated according to the characteristic value Degree, when the concentration degree of feature value stabilization and notice reaches setting value, preserves the characteristic value and the corresponding behaviour of current identification Make to database, the database is directed to the database of each user foundation;Wherein, the brain wave letter for extracting pre-acquired Number characteristic value specifically include:
According to the feature of user's eeg signal, remove error number of the amplitude not within preset range in the sampled data According to reservation correct data;
Three points in signal waveforms uphill process calculate the maximum ((Y of second dervative in uphill process1-Y2)/ (T1-T2)-(Y2-Y3)/(T2-T3))/(T1-T3), wherein Y1、Y2And Y3It is the corresponding value of three points, T1、T2And T3For described Three points corresponding time;
The maximum in all sampled datas is found, time Time=N*tone is calculated, wherein N is maximum all Position in sampled data, tone is off time, tone=1/fSampling, wherein fSamplingTo gather eeg signal in the unit time Number of times;
Perform following steps:
Characteristic value is matched:The eeg signal of formal collection user, and by the characteristic value phase with the eeg signal of pre-acquired With mode extract formal collection eeg signal characteristic value, will be deposited in the characteristic value of the officially drawn sample of extraction and database The characteristic value of storage is matched, and the match is successful then obtains and the operation corresponding to the eeg signal for gathering;
Normalization output:The operation for obtaining will be matched corresponding with the data of one group of length-specific, export the data as standard Change output signal, corresponding operational order is performed according to the normalization output signal.
2. the eeg signal normalization output method based on Set Top Box according to claim 1, it is characterised in that described The circulation of the step of user's eeg signal pre-acquired and characteristics extraction is carried out, until corresponding to all operations of the Set Top Box Mark user's eeg signal pre-acquired and characteristics extraction be fully completed.
3. the eeg signal normalization output method based on Set Top Box according to claim 1, it is characterised in that described The step of characteristic value and the corresponding operation of current identification are preserved to database specifically includes:
The maximum being calculated and time are preserved to database, and step-up error coefficient μ with corresponding operation.
4. the eeg signal normalization output method based on Set Top Box according to claim 3, it is characterised in that described In characteristic value matching step, the characteristic value of extraction match specifically including with the characteristic value of the storage in database:
Be successively read from database user's eeg signal pre-acquired and characteristics extraction step storage characteristic value, by with Lower formula is matched to parameters:
(1-μ)*NDeposit<N&&N<(1+μ)*NDeposit, wherein NDepositIt is the characteristic value stored in database, N is the characteristic value extracted.
5. the eeg signal normalization output method based on Set Top Box according to claim 1, it is characterised in that described The data of length-specific include 4 fields:
ID:The ID is automatically No. ID of each user distribution for the pre-acquired stage, for identifying different users;
Device id:The device id needs device to be controlled for mark;
Key assignments:The key assignments needs operation to be performed for mark;
Check bit:The check bit is used to ensure accuracy of the data in transmitting procedure that check bit to pass through CRC check or odd even Verification generation.
6. a kind of eeg signal normalization output device based on Set Top Box, it is characterised in that including:
Mark display module, for showing the mark corresponding to a certain operation on the display device being connected with the Set Top Box, Prompting user observes the mark;
User's eeg signal receiver module, for receiving user's eeg signal of acquiring brain waves equipment pre-acquired as adopting Sample data, and user's eeg signal of the formal collection of acquiring brain waves equipment is received to perform corresponding operational order;
Characteristics extraction module, the characteristic value of the eeg signal for extracting pre-acquired is calculated according to the characteristic value and noted The concentration degree of power, when the concentration degree of feature value stabilization and notice reaches setting value, preserves the characteristic value and current identification Corresponding operation is to database, and extracts the characteristic value of the eeg signal of formal collection, and the characteristics extraction module is led to Cross the characteristic value that following manner extracts eeg signal;
According to the feature of eeg signal, remove wrong data of the amplitude not within preset range in sampled data, retain just Exact figures evidence;
Three points in signal waveforms uphill process calculate the maximum ((Y of second dervative in uphill process1-Y2)/ (T1-T2)-(Y2-Y3)/(T2-T3))/(T1-T3), wherein Y1、Y2And Y3It is the corresponding value of three points, T1、T2And T3For described Three points corresponding time;
The maximum in all sampled datas is found, time Time=N*tone is calculated, wherein N is maximum all Position in sampled data, tone is off time, tone=1/fSampling, wherein fSamplingTo gather eeg signal in the unit time Number of times;
Database, for the characteristic value for storing the eeg signal of pre-acquired and corresponding operation, the database is directed to often The database that individual user sets up;
A characteristic value matching module, for the characteristic value stored in the characteristic value of the officially drawn sample of extraction and database to be carried out Match somebody with somebody, the match is successful then obtains and the operation corresponding to the eeg signal for gathering;
Normalization output module, the operation for that will match acquisition is corresponding with the data of one group of length-specific, exports the data As normalization output signal, corresponding operational order is performed according to the normalization output signal.
7. the eeg signal normalization output device of Set Top Box is based on as claimed in claim 6, it is characterised in that the spy Value indicative extraction module preserves characteristic value and the corresponding operation of current identification to database in the following way:
The maximum being calculated and time are preserved to database, and step-up error coefficient μ with corresponding operation;
Characteristic value of the characteristic value matching module in the following way by the storage in the characteristic value of extraction and database is carried out Matching:
Be successively read from database user's eeg signal pre-acquired and characteristics extraction step storage characteristic value, by with Lower formula is matched to parameters:
(1-μ)*NDeposit<N&&N<(1+μ)*NDeposit, wherein NDepositIt is the characteristic value stored in database, N is the characteristic value extracted.
8. a kind of Set Top Box, it is characterised in that be provided with the Set Top Box as described in claim any one of 6-7 based on machine The eeg signal normalization output device of top box.
9. a kind of eeg signal normalization output system based on Set Top Box, it is characterised in that the system includes brain wave Collecting device and Set Top Box as claimed in claim 8, the eeg signal of the acquiring brain waves equipment collection is by wireless Communication modes are transferred to Set Top Box, the eeg signal normalization output device outputting standard signal in the Set Top Box, machine Top box performs operational order corresponding with the normalized signal.
CN201410515182.6A 2014-09-29 2014-09-29 Eeg signal normalization output method, device, Set Top Box and system Expired - Fee Related CN104202644B (en)

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