CN103294192A - LED lamp switch control device and control method thereof based on motor imagery - Google Patents
LED lamp switch control device and control method thereof based on motor imagery Download PDFInfo
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- CN103294192A CN103294192A CN2013101459161A CN201310145916A CN103294192A CN 103294192 A CN103294192 A CN 103294192A CN 2013101459161 A CN2013101459161 A CN 2013101459161A CN 201310145916 A CN201310145916 A CN 201310145916A CN 103294192 A CN103294192 A CN 103294192A
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Abstract
The invention discloses an LED (Light-emitting Diode) lamp switch control device and a control method thereof based on motor imagery. The device comprises an electrode cap, electrocerebral acquisition equipment, a PC (Personal Computer), a bluetooth control module and an LED lamp control system, wherein the electrode cap is connected with the electrocerebral acquisition equipment, and performs band-pass filtering on a signal; the PC is internally provided with a preprocessing module, a characteristic extraction module, a pattern classification module and an I/O (Input/Output) interface which are connected sequentially; the bluetooth control module comprises a bluetooth emitting module and a bluetooth receiving module; the bluetooth emitting module is connected with the I/O interface; and the bluetooth receiving module is connected with an LED lamp. According to the device and the method, a noninvasive mode wearing the electrode cap is adopted; an acquired electrocerebral signal is subjected to ERD/ERS (Event Related Desynchronization/Event Related Synchronization) characteristic signal extraction and pattern classification by an experiential model decomposition method and a Fisher linear discriminant analysis method respectively, so that the accuracy of outputting an instruction is improved; and a bluetooth wireless transmission mode is adopted, so that the operation flexibility and the adaptability to a surrounding environment are improved.
Description
Technical field
The invention belongs to the applied research field of motion imagination brain-computer interface, particularly a kind of LED lamp switch control device and control method thereof based on the motion imagination.
Background technology
Brain-computer interface (Brain-Computer Interface, BCI) refer to do not relying on conventional brain information output channel such as peripheral nerve nuclear musculature, and the application engineering technological means is set up and can directly be allowed thought become the external information interchange of action and control new way between human brain and computing machine or other electromechanical equipment.
Surplus the research of brain-computer interface continued 30 year, in the last few years, the brain-computer interface technology had obtained develop rapidly.Nineteen ninety-five is less than 6 research groups, surpassed 20 to the quantity of research group in 1999, and more or less a hundred research group is arranged now all over the world.1999,2000, holding to the development of BCI of four BCI international conferences in 2006 and 2009 added fuel to the flames.For example: researchers such as Cincotta use the motion imagination in a research locked-in patient.This patient's quadriplegia and deafness, but she can blink and carry out vertical eye movement according to order.After one month, the diductor muscle of the electromyogram of apoplexy and transcranial magnetic stimulation record projection right hand little finger does not have motor activity.Yet, when requiring the little finger motion of the lively as far as possible imagination of patient paralysis, latent period with bring out activity level and compare with relaxation state and have clear improvement.This studies show that: for the brain paralysis patient, can recapture control ability by the border effect of the motion imagination, even if for brain paralysis patient [6].Electroencephalogram has obtained further investigation as potential non-intrusion type brain-computer interface, and this mainly is because good temporal resolution, ease for use, portability and the relative cheap price of this technology.In the surplus invention achievements exhibition of the European Studies in June, 2006 meeting, U.S. scientist Peter Brunner forms a simple message by the information on the selected display.The brainstrust of the neural Graduate School of Engineering of medical college of Tsing-Hua University has successfully been developed the brain-computer interface system, has realized the process that thinking control robot dog is played soccer.In July, 2011, National Foundation includes the brain and cognition scientific research in 12 development plans, and at the coming five years, the brain and cognition science will become one of important discipline development of nineteen.
Be a class the most widely based on the brain-computer interface of the motion imagination, a lot of research institutions are in the research of carrying out this respect in the world.Brain is to intersect to control to the control of limb motion, i.e. left limb motion is by right hemisphere control, and then by left hemisphere control, the feature that the hands movement function of two brain hemisphere represents the cortical area has than big difference the right side limb motion.Mainly show as when people do the one-sided limb motion imagination, the mu rhythm and pace of moving things and the beta rhythm and pace of moving things amplitude of brain offside master sensorimotor cortex obviously reduce, the mu rhythm and pace of moving things of homonymy master sensorimotor cortex and beta rhythm and pace of moving things amplitude obviously increase, this phenomenon is called as relevant (the Event related desynchronization that desynchronizes of event, ERD) and the event related synchronization (Event related synchronization, ERS).The right-hand man moves and imagines the Classification and Identification of EEG signals in the research brain-computer interface system, because imagination right-hand man motion or actual making when this moves can change the neuronic activity in the main sensorimotor area of brain, accurately identifying the brain power mode classification relevant with the imagination of moving is to utilize it to realize the key of brain-computer interface system.The important research direction of brain-computer interface realizes the multiple degrees of freedom instruction fetch such as fusion event related potential and the motion imagination at present.Control external unit as car mould, mechanical arm, robot, wheelchair etc. with this.As new subject commanding elevation and point of economic increase, the surplus rehabilitation project of helping the disabled is becoming state key gradually and is helping industry at present, and this is transformed to product by theory to brain-computer interface research and brings new opportunity, is conducive to the deeply further of correlative study.
Summary of the invention
Deficiency at prior art midbrain-machine interfacing existence, the invention provides a kind of employing empirical mode decomposition method and Fisher linear discriminant analysis method EEG signals is carried out feature extraction and pattern classification processing respectively, thereby realize accurately device and the control method thereof of control LED lamp switch by bluetooth communication module to the LED control system.
Technical scheme of the present invention is:
A kind of LED lamp switch control device based on the motion imagination comprises electrode cap, brain wave acquisition equipment, PC, Bluetooth control module and LED lamp control system; Wherein, electrode cap and user's brain scalp joins, and is used for gathering the scalp EEG signals, and electrode cap is connected with brain wave acquisition equipment and signal is carried out bandpass filtering; Described PC inside is provided with pretreatment module, characteristic extracting module, pattern classification module, the I/O interface that connects successively, Bluetooth control module comprises Bluetooth transmission module and bluetooth receiver module, the Bluetooth transmission module links to each other with described I/O interface, and the bluetooth receiver module links to each other with the LED lamp.
Further, the corresponding LED lamp of the left hand motion imagination is opened, and the corresponding LED lamp of right hand imagination motion is closed.
Further, the used frequency range of filtering is 8-30Hz.
A kind of control method of the LED lamp switch control device of imagining based on moving specifically comprises the steps:
(1) the brain scalp with electrode cap and user joins;
(2) brain wave acquisition equipment is gathered EEG signals;
(3) EEG signals of Cai Jiing is delivered to the EEG Processing module by Computer I/O interface and carries out pre-service;
(4) EEG signals is delivered to characteristic extracting module again and extracts the ERD/ERS characteristic information;
(5) the Classification and Identification module is classified to the ERD/ERS characteristic information, and converts instruction to;
(6) EEG signals is transferred to the transmission of Bluetooth transmission module by the I/O interface of computing machine;
(7) after the bluetooth receiver module receives the signal instruction that sends over, the corresponding switch of control LED lamp.
Further, described method adopts the empirical mode analytical approach to extract motion imagination ERD/ERS information characteristics, adopt Fisher linear analysis discriminant analysis method that characteristic signal is classified, analyze and wherein comprise which kind of motion imagination task, export LED lamp open command if classification results is judged as left hand, export the out code of LED lamp if classification results is judged as the right hand.
The invention has the beneficial effects as follows:
(1) EEG signals adopts the nothing wound mode of wearing electrode cap;
(2) the present invention adopts empirical mode decomposition and Fisher linear discriminant analysis method respectively the EEG signals of gathering to be extracted ERD/ERS characteristic signal and pattern classification, has improved the accuracy of output order;
(3) adopt the Bluetooth wireless transmission mode, not only improved flexibility of operation and also improved adaptability to surrounding environment simultaneously.
Description of drawings
Fig. 1 is the workflow diagram of a kind of LED lamp switch control device of imagining based on moving of the present invention;
Fig. 2 is the visual stimulus working interface of a kind of LED lamp switch control device of imagining based on moving of the present invention;
Fig. 3 is the circuit diagram of bluetooth receiver module in the device of the present invention;
Fig. 4 is the circuit connection diagram of power module part in the device of the present invention;
Fig. 5 is the software flow pattern in the device of the present invention.
Embodiment
Below in conjunction with accompanying drawing the present invention is described in further detail.
The invention provides and a kind ofly adopt empirical mode decomposition and Fisher linear analysis method of discrimination carries out online feature extraction and classification to EEG signals software and hardware system, apparatus of the present invention are according to tested EEG signals, judge tested control intention, by the bluetooth communication mode, the precision maneuver of control LED lamp switch.
A kind of LED lamp switch control device based on the motion imagination of the present invention, mainly contain electrode cap, brain wave acquisition equipment, PC, Bluetooth control module, led drive circuit, wherein, electrode cap contacts and gathers EEG signals with tested scalp non-invasive, and electrode cap is connected with brain wave acquisition equipment and signal is carried out processing such as filtering, amplification and analog to digital conversion; Described computer-internal is provided with the EEG signals pretreatment module that connects successively, characteristic extracting module, the pattern classification module, the EEG signals of above-mentioned collection is delivered to the EEG Processing module by Computer I/O interface goes an electrical interference, pre-service such as myoelectricity interference, be delivered to characteristic extracting module again and extract the ERD/ERS characteristic information, the Classification and Identification module is classified to the ERD/ERS characteristic information again, and convert instruction to, I/O interface by computing machine is transferred to the transmission of Bluetooth transmission module again, after the bluetooth receiver module receives the signal instruction that sends over, the corresponding switch of control LED lamp.
As shown in Figure 1, detailed process is: tested worn electrode cap after, start-up system, testedly imagine motion by watching vision induced stimulation to carry out the right-hand man, represent tested control intention, EEG signals is carried out filtering by brain wave acquisition equipment and to it, amplify, after analog to digital conversion etc. are handled, be delivered to the EEG signals pretreatment module by Computer I/O interface and go an electrical interference, pre-service such as myoelectricity interference, be delivered to characteristic extracting module again and extract the characteristic signal of ERD/ERS event related potential, the Classification and Identification module is classified to the ERD/ERS characteristic signal again, and convert instruction to, this instruction is transferred to the Bluetooth transmission module by Computer I/O interface, realize the data transmission between Bluetooth transmission module and the receiver module, after the bluetooth receiver module was received instruction, control LED lamp control system was carried out respective switch control, tested can be by watching the switch of LED lamp, whether the control intention that contrasts oneself is correct, thereby realized closed-loop control.Wherein characteristic signal being carried out pattern classification is to adopt Fisher linear discriminant analysis method, and its concrete steps are as follows:
(1) sample is pressed under
With
Two classes are divided into two training sample subclass
With
(2) obtain all kinds of averages
With
(3) ask all kinds of interior divergence matrixes
With
(4) total divergence matrix in the compute classes
(5) calculate
Inverse matrix
(6) ask the Fisher matrix of a linear transformation
(7) ask the Fisher linear transformation value of all kinds of sample points
(8) determine separation
(9) decision rule: when
, declare
Belong to
When
, declare
Belong to
When
, uncertain.
As shown in Figure 2, event related potential brings out the visual stimulus interface 2 directionkeys, one of them arrow points left side, and the expression imagination is namely controlled electric light and is opened to left movement, another arrow points right side, the expression imagination moves right, and namely controls closing of electric light.
As shown in Figure 3 and Figure 4, Fig. 3 is bluetooth receiver module chip, is used for accepting the signal instruction that transmitter module sends, and Fig. 4 is power module, and input is 5V, and output is 3.3V.Transmitting terminal is to send N small data packets and a big packet each second, and two data that need all in big packet, therefore, find unique big packet in N+1 packet.Every big packet, its data layout is all as follows: AA AA 20 02 C8 83 18 00 31 6C 00 BF 2E 00 5F 58 00 73 8F 00 21 FC 00 32 CF 00 1D 92 00 18 1E 04 00 05 00 4B.Always have 36 bytes and form, find 04 and 05 this two number successively, 04 back is the left hand signal that we want, and namely realizes the unlatching of LED lamp, and 05 back then is the right hand signal that we want, and namely realizes closing of LED lamp.
As shown in Figure 5, after system starts, bring out the stimulation interface by the event related potential of watching Fig. 2, produce relevant side-to-side movement imagination data, through after the above-mentioned signal processing signal being transferred to the LED lamp control module through bluetooth module, in this process, when receiving that instruction is the signal of above-mentioned 04 back, namely open the LED lamp, the signal of 05 back at that time, namely close the LED lamp, when the two is not, enter dormant state.
Above-described embodiment is preferred implementation of the present invention; but embodiments of the present invention are not restricted to the described embodiments; other are any not to deviate from change, the modification done under spiritual essence of the present invention and the principle, substitute, combination, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (5)
1. the LED lamp switch control device based on the motion imagination is characterized in that: comprise electrode cap, brain wave acquisition equipment, PC, Bluetooth control module and LED lamp control system; Wherein, electrode cap and user's brain scalp joins, and is used for gathering the scalp EEG signals, and electrode cap is connected with brain wave acquisition equipment and signal is carried out bandpass filtering; Described PC inside is provided with pretreatment module, characteristic extracting module, pattern classification module, the I/O interface that connects successively, Bluetooth control module comprises Bluetooth transmission module and bluetooth receiver module, the Bluetooth transmission module links to each other with described I/O interface, and the bluetooth receiver module links to each other with the LED lamp.
2. a kind of LED lamp switch control device based on the motion imagination according to claim 1, it is characterized in that: the corresponding LED lamp of the left hand motion imagination is opened, and the corresponding LED lamp of right hand imagination motion is closed.
3. according to claim 1 a kind of based on the LED lamp switch control device that moves and imagine, it is characterized in that: the used frequency range of filtering is 8-30Hz.
4. the control method based on the LED lamp switch control device of the motion imagination specifically comprises the steps:
(1) the brain scalp with electrode cap and user joins;
(2) brain wave acquisition equipment is gathered EEG signals;
(3) EEG signals of Cai Jiing is delivered to the EEG Processing module by Computer I/O interface and carries out pre-service;
(4) EEG signals is delivered to characteristic extracting module again and extracts the ERD/ERS characteristic information;
(5) the Classification and Identification module is classified to the ERD/ERS characteristic information, and converts instruction to;
(6) EEG signals is transferred to the transmission of Bluetooth transmission module by the I/O interface of computing machine;
(7) after the bluetooth receiver module receives the signal instruction that sends over, the corresponding switch of control LED lamp.
5. according to claim 1 a kind of based on the LED lamp switch control device that moves and imagine, it is characterized in that: adopt the empirical mode analytical approach to extract motion imagination ERD/ERS information characteristics, adopt Fisher linear analysis discriminant analysis method that characteristic signal is classified, analyze and wherein comprise which kind of motion imagination task, export LED lamp open command if classification results is judged as left hand, export the out code of LED lamp if classification results is judged as the right hand.
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| CN104181819A (en) * | 2014-08-05 | 2014-12-03 | 常州大学 | Human brain attention assessment system in simulated driving environment, and vehicle model driving environment thereof |
| CN104984535A (en) * | 2015-06-13 | 2015-10-21 | 常州大学 | Application system of table tennis serving machine based on brain wave control |
| CN105395195A (en) * | 2015-12-18 | 2016-03-16 | 南京医科大学 | System and method for controlling switch through brain waves |
| CN106095086A (en) * | 2016-06-06 | 2016-11-09 | 深圳先进技术研究院 | A kind of Mental imagery brain-computer interface control method based on noinvasive electricity irritation |
| CN107483992A (en) * | 2017-07-11 | 2017-12-15 | 昆明理工大学 | A kind of Intelligent TV remote control method based on SSVEP and Mental imagery |
| CN107506028A (en) * | 2017-07-31 | 2017-12-22 | 上海交通大学 | Robot painting system and method based on self start type brain-computer interface |
| CN110403740A (en) * | 2019-07-24 | 2019-11-05 | 张�杰 | A kind of control system based on brain wave |
| CN113082536A (en) * | 2021-04-01 | 2021-07-09 | 中国科学院半导体研究所 | Wireless closed-loop control system and method |
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Cited By (10)
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| CN104181819A (en) * | 2014-08-05 | 2014-12-03 | 常州大学 | Human brain attention assessment system in simulated driving environment, and vehicle model driving environment thereof |
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| CN106095086B (en) * | 2016-06-06 | 2019-07-12 | 深圳先进技术研究院 | A kind of Mental imagery brain-computer interface control method based on noninvasive electro photoluminescence |
| CN107483992A (en) * | 2017-07-11 | 2017-12-15 | 昆明理工大学 | A kind of Intelligent TV remote control method based on SSVEP and Mental imagery |
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| CN107506028B (en) * | 2017-07-31 | 2021-07-06 | 上海交通大学 | Robot drawing system and method based on self-sending brain-computer interface |
| CN110403740A (en) * | 2019-07-24 | 2019-11-05 | 张�杰 | A kind of control system based on brain wave |
| CN113082536A (en) * | 2021-04-01 | 2021-07-09 | 中国科学院半导体研究所 | Wireless closed-loop control system and method |
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Application publication date: 20130911 |