CN204543562U - Based on the railcar pwm control circuit of brain-computer interface - Google Patents
Based on the railcar pwm control circuit of brain-computer interface Download PDFInfo
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- CN204543562U CN204543562U CN201520243583.0U CN201520243583U CN204543562U CN 204543562 U CN204543562 U CN 204543562U CN 201520243583 U CN201520243583 U CN 201520243583U CN 204543562 U CN204543562 U CN 204543562U
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Abstract
The utility model discloses a kind of railcar pwm control circuit based on brain-computer interface, comprise EEG signals acquisition device, to being controlled the PWM controller that railcar carries out on off control and the electronic switch controlled by PWM controller, electronic switch is serially connected in by control railcar with the power supply circuits be connected between driving power, and EEG signals acquisition device connects with PWM controller; Electronic switch is Darlington transistor TIP122, and the base stage of Darlington transistor TIP122 connects with PWM controller and its current collection very negative supply output, and driving power is positive supply output just very; Connected with negative supply output and negative power end respectively by two feeder ears controlling railcar; Described EEG signals acquisition device is TGAM module or Mindwave Mobile brain cubic earphone.The utility model structure is simple, reasonable in design, be easy to carry and easy and simple to handle, result of use good, easyly can carry out on off control to railcar.
Description
Technical field
The utility model relates to a kind of control circuit, especially relates to a kind of railcar pwm control circuit based on brain-computer interface.
Background technology
At present, brain-computer interface technology is in the development starting stage at home, and relevant research is also fewer.Traditional subcutaneous E.E.G acquisition method both complexity has inconvenience, is therefore difficult to be generalized to other field.Increasingly mature along with human-machine interface technology, E.E.G acquisition technique also obtains develop rapidly.TGAM (ThinkGear AM) module is the brain-wave sensor ASIC module of U.S. NeuroSky (god reads science and technology) company designed by general marketplace application, also claims TGAM brain electricity module.This TGAM (ThinkGearAM) module can process and export the eSense parameter of frequency of brain wave spectrum, EEG signals quality, original brain wave and three Neurosky: focus, allowance and nictation are detected.The interface of TGAM (ThinkGearAM) module and human body only needs a simple stem grafting contact, can be easy to apply in toy, video-game and healthy equipment, again because energy consumption is little, be suitable for use in in the application of battery powered portable consumer devices.Easy and simple to handle for using, NeuroSky company of the U.S. releases a Mindwave Mobile brain cubic earphone, it can export electroencephalogram initial data, the E.E.G energy value of 8 wave bands and 2 biofeedback values, and 2 biofeedback values are respectively focus and allowance.
Nowadays, there is a large amount of game railcars (hereinafter referred to as railcar) on the market, this railcar refers to and connect power supply on moving track, under normal circumstances on moving track connect power supply current supply circuit be in open-circuit condition, two wheels of railcar are as two wiring points in the current supply circuit of connected power supply, railcar be positioned over after on moving track, this current supply circuit closes, railcar setting in motion.At present, when railcar is controlled, a data processor is generally all adopted to export the connector of pwm control signal to MOSFET pipe (for amplifying and switching electrical signals) with the control to railcar, wiring between MOSFET pipe and railcar is comparatively complicated, and wherein the connector of MOSFET pipe is the drive circuit of MOSFET pipe.During actual use, there is the problems such as circuit complexity, wiring is inconvenient, result of use is poor in the control circuit of above-mentioned railcar.In addition, nowadays the occurred little vehicle drive control system based on brain-computer interface is primarily of E.E.G Acquisition Circuit, PC and little vehicle drive circuit three parts composition, and volume is comparatively large, is not easy to carry, and overall structure and circuit design are all comparatively complicated.
Utility model content
Technical problem to be solved in the utility model is for above-mentioned deficiency of the prior art, a kind of railcar pwm control circuit based on brain-computer interface is provided, its structure is simple, reasonable in design, be easy to carry and easy and simple to handle, result of use good, easyly can carry out on off control to railcar.
For solving the problems of the technologies described above, the technical solution adopted in the utility model is: a kind of railcar pwm control circuit based on brain-computer interface, it is characterized in that: comprise the EEG signals of railcar manipulator are gathered and pretreated EEG signals acquisition device, to being controlled the PWM controller that railcar carries out on off control and the electronic switch controlled by PWM controller, described electronic switch be serially connected in described by control railcar with the power supply circuits be connected between driving power, described EEG signals acquisition device connects with PWM controller, described electronic switch is Darlington transistor TIP122, and the base stage of described Darlington transistor TIP122 connects with PWM controller and its grounded emitter, the current collection very negative supply output of described Darlington transistor TIP122, described driving power is dc source and its just very positive supply output, the minus earth of described dc source, described two feeder ears by control railcar connect with described positive supply output and described negative power end respectively, described EEG signals acquisition device is TGAM module or Mindwave Mobile brain cubic earphone, described TGAM module comprises the EEG signals extraction element that extracts the EEG signals of railcar manipulator and samples and pretreated EEG signals pretreatment unit to EEG signals signal that extraction element extracts, described EEG signals pretreatment unit connects with EEG signals extraction element, described EEG signals extraction element comprise on the left of railcar manipulator or the current potential in frontal lobe district, right side carry out the first electrode for encephalograms of real-time sampling and the second electrode for encephalograms of real-time sampling and tritencepehalon electricity electrode carried out to ear's current potential of railcar manipulator, described first electrode for encephalograms, second electrode for encephalograms and tritencepehalon electricity electrode all connect with EEG signals pretreatment unit.
The above-mentioned railcar pwm control circuit based on brain-computer interface, is characterized in that: the described guide rail being comprised the parallel laying of twice by the track controlling railcar, and guide rail described in twice connects with positive supply output and negative supply output respectively; Described two wheels by control railcar are conduction wheel and the two is respectively described by two feeder ears of control railcar.
The above-mentioned railcar pwm control circuit based on brain-computer interface, is characterized in that: described PWM controller is chip STC89C52.
The above-mentioned railcar pwm control circuit based on brain-computer interface, is characterized in that: the 32nd pin of described chip STC89C52 connects with the base stage of Darlington transistor TIP122 after resistance R10.
The above-mentioned railcar pwm control circuit based on brain-computer interface, is characterized in that: described EEG signals acquisition device wirelessly communicates with between PWM controller.
The above-mentioned railcar pwm control circuit based on brain-computer interface, it is characterized in that: also comprise the second wireless communication module connected with PWM controller and the first wireless communication module connected with EEG signals acquisition device, PWM controller is communicated with EEG signals acquisition device with the first wireless communication module by the second wireless communication module, and described first wireless communication module and the second wireless communication module are Bluetooth wireless communication module.
The above-mentioned railcar pwm control circuit based on brain-computer interface, is characterized in that: also comprise the display connected with PWM controller.
The above-mentioned railcar pwm control circuit based on brain-computer interface, is characterized in that: described EEG signals pretreatment unit is the TGAM chip of NeuroSky company of U.S. research and development.
The above-mentioned railcar pwm control circuit based on brain-computer interface, it is characterized in that: the EEG pin of the output termination TGAM chip of described first electrode for encephalograms, the REF pin of the output termination TGAM chip of the second electrode for encephalograms, the EEG_GND pin of the output termination TGAM chip of tritencepehalon electricity electrode.
The utility model compared with prior art has the following advantages:
1, simple, reasonable in design, the easy-to-connect of circuit and use easy and simple to handle, result of use good, easyly can carry out on off control to railcar, input cost is lower.
2, PWM controller output pwm signal controls Darlington transistor TIP122, especially by the break-make controlling Darlington transistor TIP122, realizes the on off control of railcar.The Darlington transistor TIP122 adopted self has the advantages such as cost is low, stable work in work, wiring is simple, realization is convenient.
3, volume is little, is easy to carry and wiring is easy.
4, can match with PWM controller with existing EEG signals acquisition device, realize railcar brain wave and control, and use easy and simple to handle, input cost is lower.
In sum, the utility model structure is simple, reasonable in design, be easy to carry and easy and simple to handle, result of use good, easyly can carry out on off control to railcar.
Below by drawings and Examples, the technical solution of the utility model is described in further detail.
Accompanying drawing explanation
Fig. 1 is schematic block circuit diagram of the present utility model.
Fig. 2 is the circuit theory diagrams of the utility model EEG signals acquisition device.
Fig. 3 is the circuit theory diagrams of the utility model PWM controller, electronic switch and the second wireless communication module.
Description of reference numerals:
1-EEG signals acquisition device; 1-1-EEG signals extraction element;
1-11-the first electrode for encephalograms; 1-12-the second electrode for encephalograms; 1-13-tritencepehalon electricity electrode;
1-2-EEG signals pretreatment unit; 2-display;
3-PWM controller; 4-electronic switch; 5-track;
6-the second wireless communication module; 7-the first wireless communication module.
Detailed description of the invention
As shown in Figure 1, Figure 2 and Figure 3, the utility model comprise the EEG signals of railcar manipulator are gathered and pretreated EEG signals acquisition device 1, to being controlled the PWM controller 3 that railcar carries out on off control and the electronic switch 4 controlled by PWM controller 3, described electronic switch 4 be serially connected in described by control railcar with the power supply circuits be connected between driving power, described EEG signals acquisition device 1 connects with PWM controller 3.Described electronic switch 4 is Darlington transistor TIP122, and the base stage of described Darlington transistor TIP122 connects and its grounded emitter with PWM controller 3, the current collection very negative supply output of described Darlington transistor TIP122.Described driving power is dc source and its just very positive supply output, the minus earth of described dc source.Described two feeder ears by control railcar connect with described positive supply output and described negative power end respectively.Described EEG signals acquisition device 1 is TGAM module or Mindwave Mobile brain cubic earphone.Described TGAM module comprises the EEG signals extraction element 1-1 that extracts the EEG signals of railcar manipulator and samples and pretreated EEG signals pretreatment unit 1-2 to EEG signals extraction element signal that 1-1 extracts, described EEG signals pretreatment unit 1-2 connects with EEG signals extraction element 1-1, described EEG signals extraction element 1-1 comprise on the left of railcar manipulator or the current potential in frontal lobe district, right side carry out the first electrode for encephalograms 1-11 of real-time sampling and the second electrode for encephalograms 1-12 of real-time sampling and tritencepehalon electricity electrode 1-13 carried out to ear's current potential of railcar manipulator, described first electrode for encephalograms 1-11, second electrode for encephalograms 1-12 and tritencepehalon electricity electrode 1-13 all connects with EEG signals pretreatment unit 1-2.
In the present embodiment, described EEG signals acquisition device 1 wirelessly communicates with between PWM controller 3.
Simultaneously, the utility model also comprises the second wireless communication module 6 connected with PWM controller 3 and the first wireless communication module 7 connected with EEG signals acquisition device 1, PWM controller 3 is communicated with EEG signals acquisition device 1 with the first wireless communication module 7 by the second wireless communication module 6, and described first wireless communication module 7 and the second wireless communication module 6 are Bluetooth wireless communication module.
In the present embodiment, described EEG signals acquisition device 1 is TGAM module.
Nowadays, NeuroSky company of the U.S. has developed the TGAM module of finished product, and physical cabling is very easy.
During actual use, described EEG signals acquisition device 1 also can be Mindwave Mobile brain cubic earphone.When described EEG signals acquisition device 1 is Mindwave Mobile brain cubic earphone, described first wireless communication module 7 is the Bluetooth wireless communication module that Mindwave Mobile brain cubic earphone carries.
Described Mindwave Mobile brain cubic earphone is the brain cubic earphone of U.S. NeuroSky (Chinese name: god reads science and technology) company's research and development.Described brain cubic earphone gathers EEG signals (also claiming brain wave data), the brain wave acquisition chip (as TGAM module) that described brain cubic earphone comprises electrode for encephalograms and connects with electrode for encephalograms from the forehead of testee.Described brain cubic earphone can go the process such as pseudo wave, amplification, FFT (Fast Fourier Transform (FFT)) to gathered EEG signals, and can carry out filtering to 50Hz power frequency interference signals.Meanwhile, described brain cubic earphone can also according to current gathered EEG signals the corresponding numerical value providing focus and allowance.Thus, the perfect in shape and function of this brain cubic earphone, and use easy and simple to handle.
As shown in Figure 2, described EEG signals pretreatment unit 1-2 is the TGAM chip of NeuroSky company of U.S. research and development.
During physical cabling, the EEG pin of the output termination TGAM chip of described first electrode for encephalograms 1-11, the REF pin of the output termination TGAM chip of the second electrode for encephalograms 1-12, the EEG_GND pin of the output termination TGAM chip of tritencepehalon electricity electrode 1-13.During actual use, described second electrode for encephalograms 1-12 is reference electrode.
In actual use procedure, the EEG signals that the EEG of described TGAM chip holds input first electrode for encephalograms 1-11 to sample, the effect of EEG_shiled end be shielding the first electrode for encephalograms 1-11 institute sample EEG signals input TGAM chip before interference during this period of time; The EEG signals that REF holds input second electrode for encephalograms 1-2 to sample, ear's EEG signals of being sampled by the second electrode for encephalograms 1-12, can effective filtering self start type brain wave as with reference to current potential; REF_shiled end mainly shield the second electrode for encephalograms 1-12 institute sample EEG signals input TGAM chip before interference during this period of time; E.E.G ground wire is also connected to the ear of human body, the i.e. tritencepehalon electricity electrode 1-13 EEG signals of sampling, main effect is the impact in order to shield the following electric wave of human body head, such as electrocardio ripple is exactly a kind of stronger disturbing wave, and the connection of E.E.G ground wire can effective filtering electrocardio ripple.That is, tritencepehalon electricity electrode 1-13 is the electrode gathering brain wave ground signalling.
In the present embodiment, the model of described TGAM chip is TGAM1, and described first wireless communication module 7 and the second wireless communication module 6 are BlueTooth chip.During physical cabling, the TXD pin of described TGAM chip connects with the RXD pin of the first wireless communication module 7.The power end of described TGAM chip and the VCC pin of TGAM chip all connect+3.3V power end.
Meanwhile, the utility model also comprises the display 2 connected with PWM controller 3.
In the present embodiment, the described guide rail being comprised the parallel laying of twice by the track controlling railcar, guide rail described in twice connects with positive supply output and negative supply output respectively; Described two wheels by control railcar are conduction wheel and the two is respectively described by two feeder ears of control railcar.
In the present embodiment, described track 5 is circular orbit, and the quantity of track 5 is two, and two described tracks 5 comprise the outer side track outside an inner track and a described inner track in outside.
As everyone knows, pwm signal can carry out digital coding to analog signal level, and the data signal that PWM controller 3 exports can control analog circuit, thus without the need to carrying out digital-to-analogue conversion, influence of noise can be dropped to minimum.
In the present embodiment, described PWM controller 3 is chip STC89C52.
Actual when using, described PWM controller 3 also can adopt the controller chip of other type, as 51 series monolithics, can export the chip carrying out the pwm signal of break-make control to electronic switch 4 and all can be used as PWM controller 3 and use.Wherein, when PWM controller 3 output pwm signal control electronic switch 4 be in cut-off state time, described by control railcar stop; And when PWM controller 3 output pwm signal control electronic switch 4 be in conducting state time, described by control railcar start.
The Darlington transistor TIP122 adopted has the advantages such as cost is low, stable work in work, operating current are easy to adjust, wiring is simple, realization is convenient.
In the present embodiment, the 32nd pin of described chip STC89C52 connects with the base stage of Darlington transistor TIP122 after resistance R10.
During physical cabling, the 18th pin of described chip STC89C52 and the 19th pin connect with two terminals of crystal oscillator X1 respectively, and the 18th pin of chip STC89C52 and the 19th pin ground connection after electric capacity C6 and C5 respectively.9th pin of described chip STC89C52 divides three tunnels, and a road connects+5V power end after electric capacity C7, and another road is ground connection after resistance R12, and the 3rd tunnel connects+5V power end after reset key S1 and resistance R11.40th pin of described chip STC89C52 connects+5V power end and its 20th pin ground connection.10th pin of described chip STC89C52 and the 11st pin connect with the 4th pin of the second wireless communication module 6 and the 5th pin respectively.
Meanwhile, the utility model also comprises a control panel.Described control panel is provided with two power interfaces, each power interface includes a positive supply output and a negative supply output.Two described tracks 5 use a power interface respectively.Positive supply output on described control panel all connects the positive pole of described dc source, and the negative supply output on described control panel all connects the 3rd pole of Darlington transistor TIP122.
During physical cabling, for described inner track, a guide rail of described inner track connects negative supply output by wire, and another guide rail of described inner track connects positive supply output after resistance R1.Further, fuse PTC1 is connected between another guide rail of described inner track and positive supply output.Meanwhile, electric capacity C1 is connected between two guide rails of described inner track.
Correspondingly, a guide rail of described outer side track connects negative supply output by wire, and another guide rail of described inner track connects positive supply output.Further, fuse PTC2 is connected between another guide rail of described outer side track and positive supply output.Meanwhile, electric capacity C2 is connected between two guide rails of described outer side track.
Meanwhile, described control panel also comprises two groups of control ends, and one group of control end comprises A, B and C terminals, and one group of control end is A ', B ' and C ' terminals, is connected to resistance R2 between B ' and C ' terminals.Herein, two groups of control ends all do not use.
In actual use procedure, carry out gathering to the EEG signals manipulated by railcar by EEG signals acquisition device 1 and the focus D of testee under automatically exporting current state, and focus D is sent to PWM controller 3; After described PWM controller 3 receives the focus D that EEG signals acquisition device 1 transmits, intuitively shown by the focus D of testee under display 2 pairs of current states, and by PWM controller 3, the attention rate D under current state is carried out threshold value with the compare threshold originally set and compare, and according to comparative result, break-make control is carried out to electronic switch 4.Actual when using, described PWM controller 3 is a comparison controller, thus any there is numerical value comparing function comparator or control chip all can substitute described data processor.
The above; it is only preferred embodiment of the present utility model; not the utility model is imposed any restrictions; every above embodiment is done according to the utility model technical spirit any simple modification, change and equivalent structure change, all still belong in the protection domain of technical solutions of the utility model.
Claims (9)
1. the railcar pwm control circuit based on brain-computer interface, it is characterized in that: comprise the EEG signals of railcar manipulator are gathered and pretreated EEG signals acquisition device (1), to being controlled the PWM controller (3) that railcar carries out on off control and the electronic switch (4) controlled by PWM controller (3), described electronic switch (4) be serially connected in described by control railcar with the power supply circuits be connected between driving power, described EEG signals acquisition device (1) connects with PWM controller (3), described electronic switch (4) is Darlington transistor TIP122, and the base stage of described Darlington transistor TIP122 connects and its grounded emitter with PWM controller (3), the current collection very negative supply output of described Darlington transistor TIP122, described driving power is dc source and its just very positive supply output, the minus earth of described dc source, described two feeder ears by control railcar connect with described positive supply output and described negative power end respectively, described EEG signals acquisition device (1) is TGAM module or Mindwave Mobi le brain cubic earphone, described TGAM module comprise EEG signals extraction element (1-1) that the EEG signals of railcar manipulator are extracted and to EEG signals extraction element (1-1) extract signal and sample and pretreated EEG signals pretreatment unit (1-2), described EEG signals pretreatment unit (1-2) connects with EEG signals extraction element (1-1), described EEG signals extraction element (1-1) comprise on the left of railcar manipulator or the current potential in frontal lobe district, right side carry out first electrode for encephalograms (1-11) of real-time sampling and second electrode for encephalograms (1-12) of real-time sampling and tritencepehalon electricity electrode (1-13) carried out to ear's current potential of railcar manipulator, described first electrode for encephalograms (1-11), second electrode for encephalograms (1-12) and tritencepehalon electricity electrode (1-13) all connect with EEG signals pretreatment unit (1-2).
2. according to the railcar pwm control circuit based on brain-computer interface according to claim 1, it is characterized in that: the described guide rail being comprised the parallel laying of twice by the track controlling railcar, guide rail described in twice connects with positive supply output and negative supply output respectively; Described two wheels by control railcar are conduction wheel and the two is respectively described by two feeder ears of control railcar.
3. according to the railcar pwm control circuit based on brain-computer interface described in claim 1 or 2, it is characterized in that: described PWM controller (3) is chip STC89C52.
4. according to the railcar pwm control circuit based on brain-computer interface according to claim 3, it is characterized in that: the 32nd pin of described chip STC89C52 connects with the base stage of Darlington transistor TIP122 after resistance R10.
5. according to the railcar pwm control circuit based on brain-computer interface described in claim 1 or 2, it is characterized in that: described EEG signals acquisition device (1) wirelessly communicates with between PWM controller (3).
6. according to the railcar pwm control circuit based on brain-computer interface according to claim 5, it is characterized in that: also comprise the second wireless communication module (6) connected with PWM controller (3) and the first wireless communication module (7) connected with EEG signals acquisition device (1), PWM controller (3) is communicated with EEG signals acquisition device (1) with the first wireless communication module (7) by the second wireless communication module (6), described first wireless communication module (7) and the second wireless communication module (6) are Bluetooth wireless communication module.
7. according to the railcar pwm control circuit based on brain-computer interface described in claim 1 or 2, it is characterized in that: also comprise the display (2) connected with PWM controller (3).
8. according to the railcar pwm control circuit based on brain-computer interface described in claim 1 or 2, it is characterized in that: the TGAM chip that described EEG signals pretreatment unit (1-2) is researched and developed for NeuroSky company of the U.S..
9. according to the railcar pwm control circuit based on brain-computer interface according to claim 8, it is characterized in that: the EEG pin of the output termination TGAM chip of described first electrode for encephalograms (1-11), the REF pin of the output termination TGAM chip of the second electrode for encephalograms (1-12), the EEG_GND pin of the output termination TGAM chip of tritencepehalon electricity electrode (1-13).
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105287067A (en) * | 2015-10-13 | 2016-02-03 | 西安交通大学 | Intelligent home system aiming at patient suffering from amyotrophic lateral sclerosis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105287067A (en) * | 2015-10-13 | 2016-02-03 | 西安交通大学 | Intelligent home system aiming at patient suffering from amyotrophic lateral sclerosis |
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