CN204480175U - A kind of view-based access control model brings out the intelligent electrical appliance control device of brain-computer interface - Google Patents

A kind of view-based access control model brings out the intelligent electrical appliance control device of brain-computer interface Download PDF

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Publication number
CN204480175U
CN204480175U CN201420396294.XU CN201420396294U CN204480175U CN 204480175 U CN204480175 U CN 204480175U CN 201420396294 U CN201420396294 U CN 201420396294U CN 204480175 U CN204480175 U CN 204480175U
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module
brain
computer interface
appliance control
electrical appliance
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CN201420396294.XU
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Chinese (zh)
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邢潇
赵丽
孙永
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Tianjin University of Technology
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Tianjin University of Technology
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Abstract

The utility model relates to the intelligent electrical appliance control device that a kind of view-based access control model brings out brain-computer interface, described device comprises the signal acquisition module (1), brain electric treatment module (2) and the intelligent appliance control module (4) that are sequentially connected in series, and makes brain produce the visual stimulator module (3) of vision induced signal by visual stimulus.The frequency of setting visual stimulator, makes 12 different LED light-emitting blocks glimmer with different frequency stabilizations; A scalp electrode is placed on occipital region after brain, two ear electrodes are as reference electrode, and making the vision of people, parallel to face toward 12 different LED luminous fast, gather EEG signals by scalp electrode and the EEG signals collected is amplified and A D change after enter brain electric treatment module and carry out data processing; By wireless module, home appliance is passed in instruction, control its intelligent behaviour.The utility model does not need language and limb action as information transmission media, just realizes the control of people domestic environment and equipment to external world by means of only EEG signals.

Description

A kind of view-based access control model brings out the intelligent electrical appliance control device of brain-computer interface
Technical field
The utility model relates to the intelligent electrical appliance control device that a kind of view-based access control model brings out brain-computer interface.Particularly relating to a kind of can reaching does not need the limb action of people only to rely on vision and people's EEG signals and external device to carry out a kind of approach exchanged, and achieves a kind of device utilizing brain electric control intelligent appliance.
Background technology
The intelligent electrical appliance control device that a kind of view-based access control model brings out brain-computer interface utilizes visual stimulator to bring out human brain to produce specific EEG signals and realize the people's control of domestic environment and method exchanged to external world.The rehabilitation life of this method to disabled person serves very large help, decreases the nursing work load of medical personnel and family members, helps extremity disabled persons independently to live, improve their quality of life and give them the right enjoyed life.Steady State Visual Evoked Potential (steady state visual evoked potential, SSVEP) (frequency of stimulation > 8Hz) has high rate of information transmission, comparatively Short Training time and feature and is easy to the advantages such as extraction, and only needs the signal being positioned at a few electrode of occipital ctx position just can extract.Therefore, the input signal of other interactive system of Steady State Visual Evoked Potential Chang Zuowei.In brain-computer interface, the extraction of signal is very crucial technology, and be the process identifying human brain intention during the extraction of signal, the EEG signals extracted can realize the control to external unit, as household electrical appliances, wheelchair etc.Based on the Smart Home technology of brain-computer interface, be on traditional Smart Home basis, brain-computer interface technology introduce wherein, for help the disabled and amusement provide amenities for the people propose a kind of brand-new solution route.
Summary of the invention
Technical problem to be solved in the utility model is, provides a kind of device utilizing human brain VEP real-time high-efficiency to control intelligent appliance.
The technical scheme that the utility model adopts is, a kind of view-based access control model brings out the intelligent electrical appliance control device of brain-computer interface, include the signal acquisition module, brain electric treatment module and the intelligent appliance control module that are sequentially connected in series, and make brain produce the visual stimulator module of Visual Evoked Potential Signal by visual stimulus.
Described signal acquisition module includes the acquisition electrode that the scalp electrode that is connected with human brain and two ear electrodes form, and the eeg amplifier of the signal sent by this scalp electrode that to be connected with scalp electrode, and the brain wave acquisition module to be connected with eeg amplifier, the output terminal of described brain wave acquisition module connects brain electric treatment module input.
Described acquisition electrode is made up of silver chloride electrode.Described eeg amplifier comprises pre-amplification circuit, notch filter circuit, filtering circuit and rearmounted amplifying circuit; Described brain wave acquisition module comprise A D change-over circuit.
Described visual stimulator module comprises 12 groups of LED light module of different frequency, and described light emitting module drives white led lamps to realize by triode.12 different frequencies shown by LED light-emitting block are from 13Hz-18.5Hz, and every 0.5Hz is a unit gap flicker.
Described intelligent appliance control module comprises infrared module, independent current source module, the radio receiver module of the wireless module accepting instruction, the relay module controlling electric light and electric fan, control TV.
Accompanying drawing explanation
Fig. 1 is entire block diagram of the present utility model
Fig. 2 is the utility model electroencephalogramsignal signal acquisition module theory diagram
Fig. 3 is the utility model pre-amplification circuit U1A schematic diagram
Fig. 4 is the utility model pre-amplification circuit U2A schematic diagram
Fig. 5 is the utility model notch filter circuit U 10 schematic diagram
Fig. 6 is the utility model filtering circuit U9A schematic diagram
Fig. 7 is the utility model rearmounted amplifying circuit U3A schematic diagram
Fig. 8 be the utility model A D change-over circuit U26 schematic diagram
Fig. 9 is the utility model visual stimulator modular circuit schematic diagram
Figure 10 is the utility model wireless module P5 circuit theory diagrams
Figure 11 is the utility model independent current source module U2 circuit theory diagrams
Figure 12 is the utility model radio receiver module R1 circuit theory diagrams
Figure 13 is the utility model infrared module I1 circuit theory diagrams
Figure 14 is the utility model relay module J1 circuit theory diagrams
Wherein:
1: signal acquisition module 2: brain electric treatment module
3: visual stimulator module 4: intelligent appliance control module
11: acquisition electrode 12: eeg amplifier
121: one-level amplifies U1A 122: secondary amplifies U2A
123: trap circuit U10 124: filtering circuit U9A
125: three grades are amplified U3A
Embodiment
Below in conjunction with accompanying drawing and experiment, the intelligent electrical appliance control device that a kind of view-based access control model of the utility model brings out brain-computer interface is described in detail.
As shown in Figure 1, a kind of view-based access control model of the utility model brings out the intelligent electrical appliance control device the general frame of brain-computer interface, includes the signal acquisition module (1), brain electric treatment module (2), visual stimulator module (3) and the intelligent appliance control module (4) that are sequentially connected in series.Wherein said signal acquisition module (1) primary responsibility gathers the bioelectrical signals of human brain, and carries out amplifying and analog to digital conversion, completes the conversion of biological EEG signals to digital signal.Described brain electric treatment module (2) mainly processes the digital brain electrical signal received from signal acquisition module (1), goes out eigenwert and be converted into control command to control intelligent appliance control module (4) through processing and identification.
Described signal acquisition module (1) comprises the acquisition electrode (11) that the scalp electrode that is connected with human brain and ear electrode are formed, be connected with acquisition electrode (11) eeg amplifier (12) receiving this signal, and the brain wave acquisition module (13) be connected with eeg amplifier (12).Acquisition electrode (11) adopts silver chloride electrode.
As shown in Figure 2, described eeg amplifier (12) comprises pre-amplification circuit (U1A, U2A), notch filter circuit (U10), filtering circuit (U9A) and rearmounted amplifying circuit (U3A).Described brain wave acquisition module (13) comprise A D change-over circuit (U26).Described signal acquisition module (1) comprises following process: EEG signals enters pre-amplification circuit (U1A, U2A) after being gathered by acquisition electrode (11), after enlarge leadingly, enter notch filter circuit (U10) and filtering circuit (U9A), eventually pass rearmounted amplifying circuit (U3A) and enter A D change-over circuit (U26) and be converted into digital signal by bioelectrical signals.Described brain wave acquisition module (13) output terminal connects the signal input part of EEG Processing module (2).
As shown in Figures 3 to 8, the EEG signals collected first carries out elementary amplification through first order amplifying circuit U1A (Fig. 3), and for improving common-mode rejection ratio and high input impedance, acp chip selects AD620 chip.Second level amplifying circuit U2A (Fig. 4) adopts AD210 chip, and circuit plays isolation coupling effect.Notch filter circuit U 10 (Fig. 5) chip adopts special trap module MXT050.Filtering circuit U9A (Fig. 6) and post amplifier U3A (Fig. 7) acp chip all adopt double operational chip TL062.A D change-over circuit U26 (Fig. 8) adopt 16-bit AD converter AD976 chip.
As shown in Figure 9, described visual stimulator module (3) comprises 12 groups of LED light module of display 12 different frequencies, and the flicker frequency of each light emitting module is fixed.The triode of driving LED lamp adopts S8050 chip.According to the mechanism of production of Steady State Visual Evoked Potential, frequency distributes between 13Hz-18.5Hz.In order to avoid the interference between adjacent LED, light-emitting block is packaged into the square that the length of side is 2 centimetres, the distance between adjacent light-emitting block is 2 centimetres.Experimenter by watch attentively the different LED of 12 frequencies luminous fast in a frequency display module select corresponding control command.
As shown in FIG. 10 to 14, what the wireless module P5 (Figure 10) receiving instruction in described intelligent appliance control module (4) adopted is NRF24L01 module.Control the employing relay module J1 (Figure 14) of electric light and electric fan.The infrared module I1 (Figure 13) controlling TV adopts CHQ1838, and infrared module I1 (Figure 13) sends instruction through decoding and controls the switch of TV and browse after the instruction receiving wireless module P5 (Figure 10).Independent current source module U2 (Figure 11) is responsible for the voltage transitions between the independent power supply of equipment and modules, and the chip selected is L78L05AC.Radio receiver module R1 (Figure 12) core adopts TEA5787 chip.
Verify by experiment, after tested training, a kind of view-based access control model of the utility model brings out the intelligent electrical appliance control device accuracy of brain-computer interface up to 100%, within sending the time average 5s of individual instructions, transmit command range farthest and can reach about 50 meters, and experimenter almost all can complete the trigger switch activation of a complete set of equipment at the appointed time, achieves the object only controlling household electrical appliance without the need to limb action by EEG signals in real time.The utility model indicates feasibility based on the intelligent electrical appliance control device of brain-computer interface and practicality, real-time and discrimination good, accurately judge the intention of people, there is good use value.

Claims (5)

1. a view-based access control model brings out the intelligent electrical appliance control device of brain-computer interface, it is characterized in that, include the signal acquisition module (1), brain electric treatment module (2), the intelligent appliance control module (4) that are sequentially connected in series, and make brain produce the visual stimulator module (3) of Visual Evoked Potential Signal by visual stimulus.
2. a kind of view-based access control model according to claim 1 brings out the intelligent electrical appliance control device of brain-computer interface, it is characterized in that, belonging to signal acquisition module (1) include the acquisition electrode module (11) that reference electrode that the scalp electrode that is connected with human brain and about two ears connect forms, be connected with acquisition electrode module (11) eeg amplifier (12) receiving the signal that this scalp electrode sends, and the brain wave acquisition module (13) to be connected with eeg amplifier (12), the output terminal of described brain wave acquisition module (13) connects the signal input part of brain electric treatment module (2).
3. a kind of view-based access control model according to claim 2 brings out the intelligent electrical appliance control device of brain-computer interface, it is characterized in that, described eeg amplifier (12) comprises pre-amplification circuit (U1A, U2A), notch filter circuit (U10), filtering circuit (U9A) and rearmounted amplifying circuit (U3A); Described brain wave acquisition module (13) comprise A D change-over circuit (U26).
4. a kind of view-based access control model according to claim 1 brings out the intelligent electrical appliance control device of brain-computer interface, it is characterized in that, described visual stimulator module (3) comprises 12 groups of LED light module of different frequency, and described light emitting module is realized by triode (Q1-Q12) driving LED light emitting module (D1-D12); Frequency is that unit is spaced apart from the every 0.5HZ of 13Hz-18.5Hz.
5. a kind of view-based access control model according to claim 1 brings out the intelligent electrical appliance control device of brain-computer interface, it is characterized in that, described intelligent appliance control module (4) comprises infrared module (I1), independent current source module (U2), the radio receiver module (R1) of the wireless module (P5) accepting instruction, the relay module (J1) controlling electric light and electric fan, control TV.
CN201420396294.XU 2014-07-16 2014-07-16 A kind of view-based access control model brings out the intelligent electrical appliance control device of brain-computer interface Expired - Fee Related CN204480175U (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105159135A (en) * 2015-10-21 2015-12-16 珠海格力电器股份有限公司 Intelligent household electrical appliance control method and system
CN105446158A (en) * 2015-12-31 2016-03-30 华南理工大学 Intelligent household electric appliance control nursing device and method based on multi-mode brain-computer interface
CN105549733A (en) * 2015-12-08 2016-05-04 西安交通大学 Brain-computer interface system and method based on steady state visual evoked in intelligent space
WO2017113138A1 (en) * 2015-12-30 2017-07-06 深圳市赛亿科技开发有限公司 Method, device, and system for controlling home appliance
CN107066093A (en) * 2017-03-22 2017-08-18 南京邮电大学 A kind of SSVEP intelligent home service systems based on improvement CCA
CN107168134A (en) * 2017-06-27 2017-09-15 福州大学 The household electric appliance control method of brain eye combination drive

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105159135A (en) * 2015-10-21 2015-12-16 珠海格力电器股份有限公司 Intelligent household electrical appliance control method and system
CN105549733A (en) * 2015-12-08 2016-05-04 西安交通大学 Brain-computer interface system and method based on steady state visual evoked in intelligent space
CN105549733B (en) * 2015-12-08 2018-06-26 西安交通大学 Brain-computer interface system and method based on stable state vision inducting under a kind of intelligent space
WO2017113138A1 (en) * 2015-12-30 2017-07-06 深圳市赛亿科技开发有限公司 Method, device, and system for controlling home appliance
CN105446158A (en) * 2015-12-31 2016-03-30 华南理工大学 Intelligent household electric appliance control nursing device and method based on multi-mode brain-computer interface
CN107066093A (en) * 2017-03-22 2017-08-18 南京邮电大学 A kind of SSVEP intelligent home service systems based on improvement CCA
CN107168134A (en) * 2017-06-27 2017-09-15 福州大学 The household electric appliance control method of brain eye combination drive

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