CN205721730U - Control device and electronic reader device thereof for automatic page turning - Google Patents
Control device and electronic reader device thereof for automatic page turning Download PDFInfo
- Publication number
- CN205721730U CN205721730U CN201620383976.6U CN201620383976U CN205721730U CN 205721730 U CN205721730 U CN 205721730U CN 201620383976 U CN201620383976 U CN 201620383976U CN 205721730 U CN205721730 U CN 205721730U
- Authority
- CN
- China
- Prior art keywords
- circuit
- page turning
- automatic page
- control device
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The utility model discloses a kind of control device for automatic page turning, including for the signal preprocessor of brain electric information feature extraction with for the brain electric information feature extracted being carried out the field programmable gate array of data pattern classification process；Described signal preprocessor is connected with described field programmable gate array.Described signal preprocessor includes D/A converting circuit, peak detection circuit, range separation circuit, range amplifier circuit and the analog to digital conversion circuit being sequentially connected with；Analog-digital conversion circuit as described is connected with described on-the-spot codified gate array.Use the control device for automatic page turning described in the utility model, by hardware circuit, brain electric information feature is effectively processed, save the time, improve efficiency.The invention also discloses a kind of electronic reader device with automatic page turning, by being effectively combined with the control device being used for automatic page turning by the brain wave acquisition cap gathering EEG signals, thus realize that there is real-time and the high automatic page turning of discrimination.
Description
Technical field
This utility model relates to EEG Processing field, especially relates to a kind of control device for automatic page turning and electronics thereof
Reader device.
Background technology
Man-machine interaction is a current popular topic, utilizes combination one of them focus especially of EEG signals and smart electronics.
EEG signals combines embedded Control as a cross discipline, just by attention and the research of Many researchers international, domestic,
And show important researching value and application prospect in fields such as rehabilitation engineering, assist control, amusement and military affairs.
Relevant accessible technology for people with disability is increasingly paid attention to, and wherein utilizes EEG signals to help to learn wherein
One important break-through point.Utilize EEG signals to combine modern electronic technology, set up a kind of exchange brand-new, that be independent of muscle
With the path controlled, between brain and the external world, transmit information and order, help most of orthoprenia people with disability in trick
In the case of inconvenience, still can independently, learn easily；Along with e-book increasingly by universal, at great majority
In the case of, the most very convenient being used for assists people's reading electronic book, and starts page turning from time to time without people.
The method that the preconditioning technique of EEG signals is current is substantially by the algorithm in computer, utilizes software to imagination brain telecommunications
Breath processes, and when brain electric information data volume is bigger, the method for pretreatment excessively relies on computer software, due to the meter of software
Calculate speed and efficiency of algorithm problem, the problem of simultaneous computer application to be processed, inadequate resource can be caused, it is difficult to meet
The requirement of Real-time System.
Problem of both existing on the sorting technique of brain electricity imaginary signals at present, is on the one hand that the speed processed is the highest, in real time
Property can not get ensure, process the most multidata in the case of this shortcoming can become apparent from.On the other hand it is that the discrimination processed is the highest.
It is present in the contradiction at high speed and between high discrimination based on both the above problem, increasing in particular with data
In the case of, it more difficult to two kinds are guaranteed together.
Utility model content
In order to overcome above-mentioned technological deficiency, this utility model provides a kind of control device for automatic page turning, passes through hardware circuit
Brain electric information feature is effectively processed, saves the time, improve efficiency.
In order to solve the problems referred to above, this utility model is achieved by techniques below scheme:
Control device for automatic page turning described in the utility model, including for locating in advance the signal of brain electric information feature extraction
Manage device and for the brain electric information feature extracted being carried out the field programmable gate array of data pattern classification process；Described signal is pre-
Processor is connected with described field programmable gate array；Described signal preprocessor includes D/A converting circuit, the peak being sequentially connected with
Value testing circuit, range separation circuit, range amplifier circuit and analog to digital conversion circuit；Analog-digital conversion circuit as described and described scene
Codified gate array connects；Brain electric information is converted to analogue signal by described D/A converting circuit, and the transmission of this analogue signal is to described
Peak detection circuit, described peak detection circuit carries out peakvalue's checking to described analogue signal；Signal after this detection transmits to institute
Stating range separation circuit, described range separation circuit is by by Signal separator bigger for amplitude in the signal after detection out, carrying
Amplifying the signal amplitude after separating to range amplifier circuit, transmission to analog-digital conversion circuit as described is converted to digital data transmission extremely
Described on-the-spot codified gate array.
Further, between described D/A converting circuit and described peak detection circuit, it is also associated with the first low-pass filter circuit, uses
In the analogue signal after conversion is carried out filtering of high-frequency noise.
Further, between described range amplifier circuit and analog-digital conversion circuit as described, it is also associated with the second low-pass filter circuit, uses
In the analogue signal separated being carried out the purification that second time filters.
Further, described field programmable gate array includes the memorizer that is sequentially connected with and for separating imagination left hand or the right hand
The sorting circuit of eeg data.
Further, described range separation circuit includes transistor and the circuit of integrated chip composition.
Further, the model that described integrated chip uses is LM1881.
Further, described range amplifier circuit includes the circuit that operational amplifier forms.
In order to overcome above-mentioned technological deficiency, this utility model provides a kind of electronic reader with automatic page turning, by gathering
The brain wave acquisition cap of EEG signals is effectively combined with the control device for automatic page turning, thus realizes having real-time and identification
The automatic page turning that rate is high.
In order to solve the problems referred to above, this utility model is achieved by techniques below scheme:
The electronic reader device with automatic page turning described in the utility model, including electronic reader body, described electronic reading
Device body connects the described control device for automatic page turning；The described control device for automatic page turning connects to be had for gathering
The brain wave acquisition cap of brain electric information.
Further, described electronic reader body and the described control device for automatic page turning pass through wireless connections；Described use
Control device in automatic page turning passes through wireless connections with described brain wave acquisition cap.
Compared with prior art, the beneficial effects of the utility model are:
The electronic reader device with automatic page turning that this utility model is newly described, utilizes hardware circuit to substitute prior art and utilizes
Brain electric information is processed by software, i.e. have employed the hardware circuit in Analog Electronics Technique, is directly realized by hardware bottom layer,
Need not realize as using pure software mode successively to arrive hardware bottom layer from the application layer of computer, save the time, be conducive to improving
Efficiency, it is ensured that real-time；Utilize field programmable gate array hardware to replace computer to realize the classification to EEG signals to process simultaneously,
Improve classification speed.
Meanwhile, use and described control, for automatic page turning, the electronic reader device that device is formed, by brain wave acquisition cap and
Electronic reader body, is also achieved that real-time and the two-forty of automatic page turning.
Accompanying drawing explanation
Below in conjunction with the accompanying drawings detailed description of the invention of the present utility model is described in further detail, wherein:
Fig. 1 is the described structural framing figure controlling device for automatic page turning that this utility model embodiment provides；
Fig. 2 be this utility model embodiment provide described in the control device of automatic page turning, signal preprocessor and scene can
The internal circuit configuration figure of programming gate array；
Fig. 3 be this utility model embodiment provide described for automatic page turning control that peak detection circuit in device realizes former
Reason oscillogram；
What Fig. 4 was that this utility model embodiment provides described controls the most single of peak detection circuit in device for automatic page turning
Unit's circuit；
Fig. 5 be this utility model embodiment provide described for automatic page turning control that range separation circuit in device realizes former
Reason block diagram；
Fig. 6 is described the first low-pass filter circuit and the in the control device of automatic page turning that this utility model embodiment provides
The basic element circuit of two low-pass filter circuits；
Fig. 7 is the described range amplifier circuit and second low in the control device of automatic page turning that this utility model embodiment provides
The theory diagram of bandpass filter circuit filtering and noise reduction；
The structural representation sketch of the electronic reader device of automatic page turning is provided described in the offer of Fig. 8 this utility model embodiment；
In figure:
1: signal preprocessor
11: D/A converting circuit 12: peak detection circuit 13: range separation circuit 14: range amplifier circuit
15: analog to digital conversion circuit 16: the first low pass filter 17: the second low pass filter
2: field programmable gate array
21: memorizer 22: sorting circuit
3: brain wave acquisition cap 4: electronic reader body
Detailed description of the invention
Below in conjunction with accompanying drawing, preferred embodiment of the present utility model is illustrated, it will be appreciated that described herein be preferable to carry out
Example is merely to illustrate and explains this utility model, is not used to limit this utility model.
As it is shown in figure 1, the control device for automatic page turning described in the utility model, including signal preprocessor 1 and scene
Programmable gate array 2, wherein, described preprocessor 1, for the EEG signals of input carries out the extraction of feature, then sends
Carry out classification process to described field programmable gate array, thus export imagination left hand or the information of the imagination right hand.
As in figure 2 it is shown, described signal preprocessor 1 include being sequentially connected with D/A converting circuit 11, peak detection circuit 12,
Range separation circuit 13, range amplifier circuit 14 and analog to digital conversion circuit 15, described D/A converting circuit 11 and brain wave acquisition cap
Connecting, analog-digital conversion circuit as described 15 is connected with described on-the-spot codified gate array 2.
Brain electricity digital signal is converted to brain electric analoging signal by wherein said D/A converting circuit 11, for rear end peakvalue's checking electricity
The process on road 12.
Described peak detection circuit 12 receives described brain electric analoging signal, this brain electric analoging signal is carried out peakvalue's checking, enters simultaneously
Row voltage threshold judges, is compared with predetermined threshold value voltage by the peak value of described brain electric analoging signal, if there is described brain electricity mould
Intend signal amplitude and be less than threshold voltage magnitude (being stored in described field programmable gate array 2), then abandon this brain electrical analogue letter
Number process, be considered as invalid imagination information, otherwise described brain electric analoging signal passed to next module and processes.Because
In this process, effective imagination brain electric analoging signal has bigger range value, and described peak detection circuit can effectively be kept away
Exempt from some interference, promote recognition efficiency.
Meanwhile, the schematic diagram realized in conjunction with the peakvalue's checking described in Fig. 3, what wherein solid line represented is the brain electric analoging signal of the imagination
Waveform, what dotted line represented is after peak detection circuit detects, the electricity of each the brain electric analoging signal received obtained
Voltage crest value.
Shown in Fig. 4, described peak detection circuit 12 is the one-way conduction characteristic utilizing diode, then coordinates electric capacity C's
Charge-discharge characteristic, is charged waveform rising edge when to the maximum (i.e. peak value) rising to this waveform, keeps peak
The magnitude of voltage of value, then detects the peak value of another waveform, finally can obtain the voltage peak of several waveform.Recycling difference
Amplifying circuit, voltage peak and predetermined threshold value voltage to waveform carry out difference, value be stored to memorizer in advance, and utilization scene can be compiled
The threshold voltage magnitude of storage in journey gate array 2, it is judged that the result of output after difference, if greater than zero reservation, less than zero
Give up.If it is determined that be respectively less than zero to whole waveform peak, then abandon the process of this signal, no longer carry out subsequent treatment.From
And play the effect preventing invalid imagination EEG signals, and strengthen anti-interference, the most effectively imagination EEG signals has bigger
Range value, this module can be prevented effectively from some interference.
The imagination brain telecommunications that its described peak detection circuit 12 of reception of described range separation circuit 13 is transmitted through after passing through screening
Number, the range separation circuit 13 built by transistor and integrated chip (model of employing is LM1881), by signal
The signal that Amplitude Ratio is bigger is separated, and obtains a few class signals that signal amplitude is bigger, reaches effectively imagination brain telecommunications
Number extract further and process.
The most described range separation circuit 13 can also select the analog circuit electronic technology principle composition one of differential amplification to compare
Device, as it is shown in figure 5, compare the amplitude of input waveform with threshold voltage, if output is more than zero, triggers field-programmable
Incoming line and outlet line are closed by gate array 2 by the control logic gate switch, and output amplitude is more than threshold voltage part
Waveform；If comparator output voltage equals to or less than zero, then trigger field programmable gate array 2 the control logic gate switch ground connection
Line, order is output as no-voltage.Thus can realize from original total many waveforms, separate signal bigger for some amplitudes
Purpose.
Described range amplifier circuit 14 receives a few class Amplitude Ratios that described range separation circuit 13 is transmitted through and significantly imagines brain electricity
Signal, the signal that the range amplifier circuit 14 coordinating electronic devices and components to build by operational amplifier will receive, carry out width
A certain degree of amplification on degree, makes useful signal become apparent from, and prepares for follow-up purified signal, is also beneficial to follow-up to dividing
The raising of class method discrimination.
Analog-digital conversion circuit as described 15 receives the imagination EEG signals that described low pass filter blocks is transmitted through, and signal is carried out modulus
Conversion, converts analog signals into digital signal, facilitates follow-up classification to process.
In order to ensure the pure property of the EEG signals of input, between described D/A converting circuit 11 and described peak detection circuit 12
It is also associated with the first low-pass filter circuit 16, for the analogue signal after conversion is carried out filtering of high-frequency noise, retains low frequency
Effective brain electricity imaginary signals of part.Concrete circuit is as shown in Figure 6.
Equally, in order to ensure that it receives the amplification signal that described range amplifier circuit 14 is transmitted through, described range amplifier circuit 14
And it is also associated with the second low-pass filter circuit 17 between analog-digital conversion circuit as described 15, carries for signal is carried out secondary filtering
Pure, in order to be delivered in the signal processing of field programmable gate array 2 so that environmental circuitry impact and carry secretly additive noise,
High frequency spurs filters, the classification process that the most described field programmable gate array 2 is follow-up.As it is shown in fig. 7, width in fact
Degree amplifying circuit 14 and the theory diagram of the second low-pass filter circuit 17 filtering and noise reduction.
Described field programmable gate array 2 includes that interconnective memorizer 21 and sorting circuit 22, shown sorting circuit 22 are used
In separating imagination left hand or the eeg data of the right hand.It receives the data of the imagination EEG signals that described A/D module is transmitted through, with
Time read the imagination right-hand man's eeg data in memorizer, compare with handled a few class eeg datas, separate imagination left hand
Or after the data of the right hand, in order to subsequent treatment.
The electronic reader device with automatic page turning described in the utility model, includes brain wave acquisition cap 3 and electronic reader
Body 4, concrete structure is as shown in Figure 8.Wherein said brain wave acquisition cap 3 gathers the brain electric information of human brain by the electrode carried；
Described programmable gate array 2, after the data being obtained imagination left hand or the imagination right hand by split circuit 22, is transmitted to described electricity
Sub-reader body 4 makes page turning to the left or page turning to the right, it is achieved the effect of automatic page turning.
Described electronic reader body 4 passes through wireless connections with the described control device for automatic page turning；Described for automatic turning
The control device of page and described brain wave acquisition cap 3 pass through wireless connections.These wireless connections use bluetooth even in the present embodiment
Connect but it also may use the wireless connections of other equivalences, such as WiFi, ZigBee, NFC etc..
The above, be only preferred embodiment of the present utility model, and this utility model is not made any pro forma restriction,
Therefore it is every without departing from technical solutions of the utility model content, according to appointing that above example is made by technical spirit of the present utility model
What amendment, equivalent variations and modification, all still fall within the range of technical solutions of the utility model.
Claims (9)
1. the control device for automatic page turning, it is characterised in that:
Including for the signal preprocessor of brain electric information feature extraction with for the brain electric information feature extracted being carried out the field programmable gate array of data pattern classification process；
Described signal preprocessor is connected with described field programmable gate array；
Described signal preprocessor includes D/A converting circuit, peak detection circuit, range separation circuit, range amplifier circuit and the analog to digital conversion circuit being sequentially connected with；
Analog-digital conversion circuit as described is connected with described on-the-spot codified gate array；
Brain electric information is converted to analogue signal by described D/A converting circuit, and the transmission of this analogue signal is to described peak detection circuit, and described peak detection circuit carries out peakvalue's checking to described analogue signal；Signal transmission after this detection is to described range separation circuit, described range separation circuit is by by Signal separator bigger for amplitude in the signal after detection out, being delivered to range amplifier circuit to amplify the signal amplitude after separating, transmission to analog-digital conversion circuit as described is converted to digital data transmission to the most described on-the-spot codified gate array.
Control device for automatic page turning the most according to claim 1, it is characterised in that:
The first low-pass filter circuit it is also associated with, for the analogue signal after conversion is carried out filtering of high-frequency noise between described D/A converting circuit and described peak detection circuit.
Control device for automatic page turning the most according to claim 1, it is characterised in that:
The second low-pass filter circuit it is also associated with, for the analogue signal separated being carried out the purification that second time filters between described range amplifier circuit and analog-digital conversion circuit as described.
Control device for automatic page turning the most according to claim 1, it is characterised in that:
Described field programmable gate array includes interconnective memorizer and for separating the sorting circuit of the eeg data of imagination left hand or the right hand.
Control device for automatic page turning the most according to claim 1, it is characterised in that:
Described range separation circuit includes transistor and the circuit of integrated chip composition.
Control device for automatic page turning the most according to claim 5, it is characterised in that:
The model that described integrated chip uses is LM1881.
Control device for automatic page turning the most according to claim 1, it is characterised in that:
Described range amplifier circuit includes the circuit that operational amplifier forms.
8. there is an electronic reader device for automatic page turning, including electronic reader body, it is characterised in that:
Described electronic reader body connects just like the control device for automatic page turning described in claim 1-7 any one；
The described device connection that controls for automatic page turning has the brain wave acquisition cap for gathering brain electric information.
The electronic reader device with automatic page turning the most according to claim 8, it is characterised in that:
Described electronic reader body and the described control device for automatic page turning pass through wireless connections；
The described control device for automatic page turning and described brain wave acquisition cap pass through wireless connections.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620383976.6U CN205721730U (en) | 2016-04-28 | 2016-04-28 | Control device and electronic reader device thereof for automatic page turning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620383976.6U CN205721730U (en) | 2016-04-28 | 2016-04-28 | Control device and electronic reader device thereof for automatic page turning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN205721730U true CN205721730U (en) | 2016-11-23 |
Family
ID=57332126
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201620383976.6U Expired - Fee Related CN205721730U (en) | 2016-04-28 | 2016-04-28 | Control device and electronic reader device thereof for automatic page turning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN205721730U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109567992A (en) * | 2018-12-10 | 2019-04-05 | 长春理工大学 | Body's consciousness controls books automatic page turning system |
| CN113031766A (en) * | 2021-03-15 | 2021-06-25 | 哈尔滨工业大学 | Method for decoding Chinese pronunciation through electroencephalogram |
-
2016
- 2016-04-28 CN CN201620383976.6U patent/CN205721730U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109567992A (en) * | 2018-12-10 | 2019-04-05 | 长春理工大学 | Body's consciousness controls books automatic page turning system |
| CN113031766A (en) * | 2021-03-15 | 2021-06-25 | 哈尔滨工业大学 | Method for decoding Chinese pronunciation through electroencephalogram |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106775023B (en) | Eye electric signal acquisition method and Bluetooth mouse system based on eye electric signal control | |
| CN102542283B (en) | Optimal electrode assembly automatic selecting method of brain-machine interface | |
| CN205721730U (en) | Control device and electronic reader device thereof for automatic page turning | |
| CN103971124A (en) | Multi-class motor imagery brain electrical signal classification method based on phase synchronization | |
| CN104200260B (en) | Demodulator circuit | |
| CN104298962A (en) | Fingerprint detection device and method | |
| CN103400069B (en) | A kind of pulse wave identity recognition device based on power spectrumanalysis and method | |
| CN105138133A (en) | Biological signal gesture recognition device and method | |
| CN113283331A (en) | Multi-class target identification method and system for unattended sensor system | |
| CN105030258A (en) | Double-mode automobile driver driving state detection platform | |
| CN206370034U (en) | The bluetooth mouse system controlled based on electro-ocular signal | |
| CN111222398B (en) | Myoelectric signal decoding method based on time-frequency feature fusion | |
| Kalantari et al. | Hardware-efficient, on-the-fly, on-implant spike sorter dedicated to brain-implantable microsystems | |
| CN106033936A (en) | Power supply with by-pass function and operation method thereof | |
| CN107104657A (en) | A kind of wrong cycle control methods of the digitlization of digital active electromagnetic interface filter | |
| CN209606504U (en) | A kind of peak detection circuit | |
| CN107643908A (en) | Voice application trigger control method, device and terminal | |
| CN104666052A (en) | System and method for processing lower-limb muscle sound signals for exoskeleton robots | |
| CN108490311A (en) | Weak impact signal extraction based on power frequency sampling and separation method | |
| CN103714827A (en) | Coming car recognition device based on sound signal detection | |
| CN103164026B (en) | Based on brain-machine interface method and the device of the fractal intercept feature of box peacekeeping | |
| CN206214307U (en) | A kind of kinetic control system of wheelchair | |
| CN103458430B (en) | The power detecting method of GSM time slot signal and power-sensing circuit | |
| CN204993054U (en) | Level device behind generator commutation | |
| CN202795520U (en) | Facial recognition access control system based on DSP (Digital Signal Processor) |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20161123 Termination date: 20170428 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |