CN105302088A - Smart home system and control method based on brain-computer interface and Zigbee - Google Patents
Smart home system and control method based on brain-computer interface and Zigbee Download PDFInfo
- Publication number
- CN105302088A CN105302088A CN201410342708.5A CN201410342708A CN105302088A CN 105302088 A CN105302088 A CN 105302088A CN 201410342708 A CN201410342708 A CN 201410342708A CN 105302088 A CN105302088 A CN 105302088A
- Authority
- CN
- China
- Prior art keywords
- brain
- module
- intelligent domestic
- instruction
- control method
- 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.)
- Pending
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention provides a smart home system and a control method based on a brain-computer interface and Zigbee. The system comprises an electroencephalogram acquisition module, an electroencephalographic signal processing module, a display module, a smart home controller, home equipment and a visual stimulator module which enables a brain to generate electroencephalographic signals through visual stimulation, wherein the electroencephalogram acquisition module, the electroencephalographic signal processing module, the display module, the smart home controller and the home equipment are connected in series in sequence; and the display module feeds back the collected signal to a subject through visual sense, and meanwhile, displays a triggered household appliance instruction. The method is characterized in that frequency of a visual stimulator is set to enable 12 LED light-emitting blocks to flicker stably with different frequencies; when human eyes stare at a flicker module, the electroencephalogram acquisition module collects steady state visual evoked potential signals of the brain; the collected electroencephalographic signals are subjected to analog-digital conversion and the obtained signals are input to the electroencephalographic signal processing module; after the signals are subjected to band-pass filtering and power spectrum estimation processing, the instruction is sent to the smart home controller via a serial port; and the controller sends the instruction to the specified home equipment in a wireless manner. The smart home system and control method do not need to treat language and body movement as information transmission media, and the invention provides the method which utilizes electroencephalogram to control external home environment and devices.
Description
Technical field
The present invention relates to a kind of intelligent domestic system based on brain-computer interface and Zigbee and control method.Particularly relate to a kind of method controlling family's Smart Home by means of only EEG signals, the disabled person for physical handicaps provides a kind of method exchanged with the external world.
Background technology
In recent years, brain-computer interface was application-oriented gradually by laboratory stage, was particularly developed widely as a new technology in control field, controlled space robotics, intelligent wheel chair etc. as utilized EEG signals.Because it does not need limb action only to rely on bioelectrical signals just can reach, the field of many particular surroundings operations is extensively incorporated into the control of designated equipment, is brought huge portable, also for a difficult problem for many applications proposes new technical solution scheme.
Utilize 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 based on the intelligent domestic system of brain-computer interface and Zigbee and control method.It only relies on the vision of people and EEG signals as transmission medium, realize human brain to external world equipment control with exchange.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 has high rate of information transmission, comparatively Short Training time and feature as the usual input signals of man-machine interactive system 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.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 matters to be solved by this invention is, provides a kind of method of brain electric control intelligent domestic system, reaches and only utilizes Steady State Visual Evoked Potential to control the system of Smart Home without the need to limb action.
The technical solution adopted in the present invention is, based on intelligent domestic system and the control method of brain-computer interface and Zigbee, include be sequentially connected in series signal acquisition module, brain electric treatment module, display module, wireless sensor network composition the intelligent domestic appliance controller and home equipment, and making brain produce the visual stimulator module of EEG signals by visual stimulus, described display module is also by EEG signals that vision collects to subject feedback.
Described signal acquisition module includes the scalp electrode and two ear electrodes that are connected with human brain, and prime amplifier, notch filter circuit, filtering circuit, post amplifier and A D modular converter.The output terminal of described signal acquisition module connects brain electric treatment module input.
Described brain electric treatment module is built on LabVIEW software, comprises the steps:
I) from signal acquisition module image data, and store;
Ii) judge whether the sampling time is greater than the time of setting, or not do not proceed data and store;
Iii) judge that the sampling time is greater than the time of setting, read data;
Iv) process the data deposited, use free transmission range is 10-20Hz, stopband attenuation is 60dB, the bandpass filter of passband ripple 1dB carries out filtering and noise reduction;
V) filtered data power Spectral Estimation is carried out feature extraction.Calculate the power spectrum of the EEG signals collected, extract frequency values corresponding to peak power as eigenwert, utilize the method for template matches to turn and changed into control signal;
Vi) find out according to result the instruction that human brain sends, and be presented on display module;
Vii) utilize serial communication that the control signal after template matches is sent to the intelligent domestic appliance controller;
The instruction if the complete rear output that is the EEG Processing of 13Hz of described template matching method is turned on light, the instruction if the complete rear output of the EEG Processing of 13.5Hz is turned off the light, the like, every 0.5Hz is a unit gap, represents instruction respectively from 13Hz-18.5Hz: desk lamp is opened, desk lamp closes, electric fan is opened, electric fan closes, radio is opened, radio frequency modulation, TV are opened, TV closes, television sound volume adds, television sound volume subtracts, television channel change adds, television channel change subtracts.
Described visual stimulator comprises 12 class frequency display modules of display 12 kinds of different frequencies, and each display module is all realized by triode (Q1-Q12) driving LED light emitting module (D1-D12).12 luminous fast shown frequencies of different LED represent respectively: desk lamp is opened, desk lamp closes, electric fan is opened, electric fan closes, radio is opened, radio tune platform (plus-minus), TV is opened, TV closes, television channel adds, television channel subtracts, television sound volume adds, television sound volume subtracts.
Based on intelligent domestic system and the control method of brain-computer interface and Zigbee, it is characterized in that, comprise as the next stage:
One) frequency of visual stimulator is set, 12 different LED light-emitting blocks are glimmered with respective frequency stabilization;
Two) scalp electrode is placed on the occipital region of people's hindbrain, two ear electrodes are placed on left and right ear, and make the parallel LED to looking 12 frequencies different of the vision of people luminous fast, the EEG signals collected by scalp electrode and the EEG signals collected is amplified and A send into brain electric treatment module after D conversion and process;
Three) by the instruction of the intelligent domestic system of display module display human brain triggering;
Described the intelligent domestic appliance controller is responsible for and brain electric treatment module communication, and the instruction of the brain processed out electricity is sent to home equipment.
Described home equipment is made up of Zigbee wireless network, comprises desk lamp module, electric fan module, radio receiver module, television module.
The present invention is based on intelligent domestic system and the control method of brain-computer interface and Zigbee, for Intelligent housing brings a kind of new method, there is practicality and applicability widely.The crowd that the present invention can help to have dyskinetic individuals with disabilities and have specific demand, particularly needs the disabled person guarded to realize daily living on one's own life.For orthoscopic ordinary people in action inconvenience when, the present invention also can provide a kind of effective and extraneous approach exchanged.
Accompanying drawing explanation
Fig. 1 is entire block diagram of the present invention
Fig. 2 is signal acquisition module theory diagram of the present invention
Fig. 3 is display module order button figure of the present invention
Fig. 4 is home equipment theory diagram of the present invention
Fig. 5 is overall control flow chart of the present invention
Wherein:
1: signal acquisition module 2: brain electric treatment device
3: display module 4: visual stimulator
5: the intelligent domestic appliance controller 6: home equipment
11: prime amplifier 12: notch filter circuit
13: filtering circuit 14: post amplifier
61: desk lamp 62: electric fan
63: radio 64: TV
Embodiment
Below in conjunction with accompanying drawing and experiment, the intelligent domestic system and control method that the present invention is based on brain-computer interface and Zigbee are described in detail.
The present invention is based on the intelligent domestic system of brain-computer interface and Zigbee and control method be utilize iridescent visual to stimulate human eye to produce Steady State Visual Evoked Potential phenomenon in conjunction with Zigbee internet of things intelligent household technology, devise a set of system utilizing brain electric control household electrical appliance.The present invention utilizes silver chloride electrode only to gather the signal of O1 position, experimenter's hindbrain occipital region, and just achieves the extraction to people's brain signal in conjunction with Liang Ge ear reference electrode.
As shown in Figure 1, the present invention is based on intelligent domestic system and the control method of brain-computer interface and Zigbee, include the signal acquisition module (1), brain electric treatment module (2), display module (3), visual stimulator module (4), the intelligent domestic appliance controller (5) and the home equipment (6) that are sequentially connected in series.Wherein said signal acquisition module (1) primary responsibility gathers the bioelectrical signals of human brain from silver chloride electrode, and carries out analog to digital conversion, completes the conversion of biological EEG signals to digital signal.Described EEG Processing 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 slave computer home equipment (6) through processing and identification.The household electrical appliances instruction of the signal that described display module (3) is collected to subject feedback by vision and triggering.
As shown in Figure 2, described signal acquisition module (1) comprise prime amplifier (11), notch filter circuit (12), filtering circuit (13), post amplifier (14) and A D modular converter (15).Modules is passed through successively after EEG signals entering signal acquisition module.Output terminal connects the signal input part of EEG Processing module (2) by a USB data line.
Described visual stimulator (4) comprises 12 groups of LED light module of display 12 different frequencies, according to the mechanism of production of Steady State Visual Evoked Potential, frequency is spaced apart in units of every 0.5Hz between 13Hz-18.5Hz respectively, represents instruction respectively: desk lamp is opened, desk lamp closes, electric fan is opened, electric fan closes, radio is opened, radio frequency modulation, TV are opened, TV closes, television sound volume adds, television sound volume subtracts, television channel change adds, television channel change subtracts.Wherein, light emitting module adopts white led lamps.Triode adopts S8050 chip.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.
The present invention is based on intelligent domestic system and the control method of brain-computer interface and Zigbee, comprise as the next stage:
One) design the frequency of stimulator, make 12 white LED luminary module be spaced apart unit with every 0.5Hz and glimmer with different frequency stabilizations from 13Hz-18.5Hz.
Two) make the vision of people parallel to looking 12 different luminesence stimulation modules.Gather EEG signals by scalp electrode and the EEG signals collected is amplified and sends into brain electric treatment module (2) after A/D conversion and carry out brain electric treatment;
Three) as shown in Figure 3, by the instruction of the intelligent domestic system of display module (3) display human brain triggering;
As shown in Figure 5, the process (2) of described EEG signals comprises as the next stage:
I) from signal acquisition module image data, and store;
Ii) judge whether the sampling time is greater than the time of setting, or not do not proceed data and store;
Iii) judge that the sampling time is greater than the time of setting, read data;
Iv) process the data deposited, use free transmission range is 10-20Hz, stopband attenuation is 60dB, the bandpass filter of passband ripple 1dB carries out filtering and noise reduction;
V) filtered data power Spectral Estimation is carried out feature extraction.Calculate the power spectrum of the EEG signals collected, extract frequency values corresponding to peak power as eigenwert, utilize the method for template matches to be changed into control signal.The Power Spectrum Estimation Method of described calculating feature extraction is calculated by following formula:
N number of observation data of signal x (n) is considered as the sequence of finite energy, directly calculate the discrete Fourier transform (DFT) x (k) of x (n), and then get its amplitude square, and divided by N, as the estimation of sequence x (n) real power spectrum.The instruction if the complete rear output that is the EEG Processing of 13Hz of described template matching method is turned on light, the instruction if the complete rear output of the EEG Processing of 13.5Hz is turned off the light, the like, every 0.5Hz is a unit gap;
Vi) find out according to result the instruction that human brain sends, and be presented on display module (3);
Vii) utilize serial communication that the control signal after template matches is sent to the intelligent domestic appliance controller (5);
Brain electric treatment module of the present invention is all built on host computer LabVIEW software.The program of Steady State Visual Evoked Potential acquisition and processing, EEG signals process in real time and experimental result is fed back to one.When completing acquiring brain waves, brain wave acquisition passage can be completed, the setting of sample frequency and time.Standard configuration is the real-time process that every 2S clock carries out an EEG signals in the present system.Brain electricity viewing area synchronously can show the instruction of brain electricity in real time.As shown in Figure 4, instruction is passed to the intelligent domestic appliance controller (5) by serial communication by the EEG signals that feature extraction goes out after template matches, utilizes Zigbee wireless network to pass to each home equipment (6) afterwards.Desk lamp (61), electric fan (62) are realized by Zigbee module pilot relay, and radio (63) is by Zigbee module control realization, and televisor (64) controls infrared module by Zigbee module and realizes.
Verify by experiment, the intelligent domestic system of brain-computer interface and Zigbee and control method accuracy is the present invention is based on up to 100% through tested training, within experimenter sends the time average 5s of individual instructions, transmit command range farthest and can reach about 50 meters, and experimenter all can complete the trigger switch activation of a complete set of equipment at the appointed time through training, achieves the object only controlling household electrical appliance without the need to limb action by EEG signals in real time.Present invention shows that the feasibility based on the intelligent home system control method of brain-computer interface and practicality, real-time and discrimination well, accurately judge the intention of people, have good use value.
Claims (8)
1. based on intelligent domestic system and the control method of brain-computer interface and Zigbee, it is characterized in that, include the signal acquisition module (1), brain electric treatment module (2), display module (3), the intelligent domestic appliance controller (5), the home equipment (6) that are sequentially connected in series, and make brain produce the visual stimulator module (4) of EEG signals by visual stimulus, the signal that described display module (3) is collected to subject feedback by vision and instruction.
2. the intelligent domestic system based on brain-computer interface and Zigbee according to claim 1 and control method, it is characterized in that, described signal acquisition module (1) comprise prime amplifier (11), notch filter circuit (12), filtering circuit (13), post amplifier (14) and A D modular converter (15).EEG signals after treatment enters brain electric treatment module (2) by a USB data line.
3. the intelligent domestic system based on brain-computer interface and Zigbee according to claim 1 and control method, it is characterized in that, described brain electric treatment module (2) is built on LabVIEW software, comprises the steps:
I) from signal acquisition module image data, and store;
Ii) judge whether the sampling time is greater than the time of setting, or not do not proceed data and store;
Iii) judge that the sampling time is greater than the time of setting, read data;
Iv) process the data deposited, use free transmission range is 10-20Hz, stopband attenuation is 60dB, the bandpass filter of passband ripple 1dB carries out filtering and noise reduction;
V) filtered data power Spectral Estimation is carried out feature extraction.Calculate the power spectrum of the EEG signals collected, extract frequency values corresponding to peak power as eigenwert, utilize the method for template matches to turn and changed into control signal;
Vi) find out according to result the instruction that human brain sends, and be presented on display module (3);
Vii) utilize serial communication that the control signal after template matches is sent to the intelligent domestic appliance controller (5).
4. the intelligent domestic system based on brain-computer interface and Zigbee according to claim 3 and control method, it is characterized in that, the instruction if the complete rear output that is the EEG Processing of 13Hz of described template matching method is turned on light, the instruction if the complete rear output of the EEG Processing of 13.5Hz is turned off the light, the like, every 0.5Hz is a unit gap, instruction is represented respectively: desk lamp is opened from 13Hz-18.5Hz, desk lamp closes, electric fan is opened, electric fan closes, radio is opened, radio frequency modulation, TV is opened, TV closes, television sound volume adds, television sound volume subtracts, television channel change adds, television channel change subtracts.
5. the intelligent domestic system based on brain-computer interface and Zigbee according to claim 1 and control method, it is characterized in that, described visual stimulator (4) comprises 12 class frequency display modules of display 12 kinds of different frequencies, and each display module is all realized by triode (Q1-Q12) driving LED light emitting module (D1-D12).Described 12 different frequencies shown by LED light-emitting block represent respectively: desk lamp is opened, desk lamp closes, electric fan is opened, electric fan closes, radio is opened, radio frequency modulation, TV are opened, TV closes, television sound volume adds, television sound volume subtracts, television channel change adds, television channel change subtracts.
6., for the intelligent domestic system based on brain-computer interface and Zigbee according to claim 1 and a control method, it is characterized in that, comprise as the next stage:
One) frequency of visual stimulator is set, 12 different LED light-emitting blocks are glimmered with respective frequency stabilization;
Two) scalp electrode is placed on the occipital region of people's hindbrain, two ear electrodes are placed on left and right ear, and make the parallel LED to looking 12 frequencies different of the vision of people luminous fast, the EEG signals collected by scalp electrode and the EEG signals collected is amplified and A send into brain electric treatment module (2) after D conversion and carry out brain electric treatment;
Three) by the instruction of the intelligent domestic system of display module (3) display human brain triggering, and by the intelligent domestic appliance controller (5), instruction is sent to home equipment (4).
7. the intelligent domestic system based on brain-computer interface and Zigbee according to claim 1 and control method, it is characterized in that, described the intelligent domestic appliance controller (5) is responsible for communicating with brain electric treatment module (2), and the instruction of the brain processed out electricity is sent to home equipment (6) by Zigbee wireless module.
8. the intelligent domestic system based on brain-computer interface and Zigbee according to claim 1 and control method, it is characterized in that, described home equipment (6) is made up of Zigbee wireless network, comprises desk lamp module (61), electric fan module (62), radio receiver module (63), television module (64).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410342708.5A CN105302088A (en) | 2014-07-15 | 2014-07-15 | Smart home system and control method based on brain-computer interface and Zigbee |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410342708.5A CN105302088A (en) | 2014-07-15 | 2014-07-15 | Smart home system and control method based on brain-computer interface and Zigbee |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105302088A true CN105302088A (en) | 2016-02-03 |
Family
ID=55199475
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410342708.5A Pending CN105302088A (en) | 2014-07-15 | 2014-07-15 | Smart home system and control method based on brain-computer interface and Zigbee |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105302088A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106200400A (en) * | 2016-08-18 | 2016-12-07 | 南昌大学 | A kind of house control system based on brain electricity APP |
| CN106476281A (en) * | 2016-09-14 | 2017-03-08 | 西安科技大学 | Based on blink identification and vision induced 3D printer control method |
| CN107168134A (en) * | 2017-06-27 | 2017-09-15 | 福州大学 | The household electric appliance control method of brain eye combination drive |
| 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 |
| CN108089451A (en) * | 2017-01-11 | 2018-05-29 | 浙江师范大学 | A kind of intelligent sleep environmental control system based on real-time neuroelectricity signal processing |
| CN109164912A (en) * | 2018-07-19 | 2019-01-08 | 中国矿业大学 | Indoor light self-checking device based on brain-computer interface |
| CN110275621A (en) * | 2019-06-26 | 2019-09-24 | 陕西科技大学 | Barrier movable platform is helped based on electro-ocular signal control |
| CN111240462A (en) * | 2018-11-29 | 2020-06-05 | 天津职业技术师范大学 | Brain-computer interface platform based on mixed reality and control method thereof |
| CN111596572A (en) * | 2020-05-29 | 2020-08-28 | 黄淮学院 | Intelligent home simulation experiment system suitable for brain control |
| CN115296953A (en) * | 2022-09-29 | 2022-11-04 | 深圳市瑞亿科技电子有限公司 | Intelligent household equipment control system and method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201275369Y (en) * | 2008-10-13 | 2009-07-22 | 邓海洲 | Study and remembering aid with same-frequency stimulation |
| US20100292751A1 (en) * | 2009-05-12 | 2010-11-18 | National Chiao Tung University | Parameter adjustment device and method thereof |
| CN102799274A (en) * | 2012-07-17 | 2012-11-28 | 华南理工大学 | Method of asynchronous brain switch based on steady state visual evoked potentials |
| CN103190903A (en) * | 2013-01-24 | 2013-07-10 | 上海帝仪科技有限公司 | EEG signal amplifier and method for amplifying EEG signal |
| JP5451013B2 (en) * | 2007-09-06 | 2014-03-26 | 英次 麻野井 | Apparatus, method, computer program, respiratory assistance device, respiratory assistance device for patients with chronic heart disease, sleep introduction device, massage device, testing device used for evaluating sleep quality |
-
2014
- 2014-07-15 CN CN201410342708.5A patent/CN105302088A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5451013B2 (en) * | 2007-09-06 | 2014-03-26 | 英次 麻野井 | Apparatus, method, computer program, respiratory assistance device, respiratory assistance device for patients with chronic heart disease, sleep introduction device, massage device, testing device used for evaluating sleep quality |
| CN201275369Y (en) * | 2008-10-13 | 2009-07-22 | 邓海洲 | Study and remembering aid with same-frequency stimulation |
| US20100292751A1 (en) * | 2009-05-12 | 2010-11-18 | National Chiao Tung University | Parameter adjustment device and method thereof |
| CN102799274A (en) * | 2012-07-17 | 2012-11-28 | 华南理工大学 | Method of asynchronous brain switch based on steady state visual evoked potentials |
| CN103190903A (en) * | 2013-01-24 | 2013-07-10 | 上海帝仪科技有限公司 | EEG signal amplifier and method for amplifying EEG signal |
Non-Patent Citations (2)
| Title |
|---|
| 赵丽等: "基于稳态视觉诱发电位的手机拨号系统研究", 《中国生物医学工程学报》 * |
| 邹鹤良: "脑-机接口家电集成控制系统的研究与设计", 《中国优秀硕士学位论文全文数据库（电子期刊）信息科技辑》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106200400A (en) * | 2016-08-18 | 2016-12-07 | 南昌大学 | A kind of house control system based on brain electricity APP |
| CN106476281A (en) * | 2016-09-14 | 2017-03-08 | 西安科技大学 | Based on blink identification and vision induced 3D printer control method |
| CN106476281B (en) * | 2016-09-14 | 2018-07-10 | 西安科技大学 | Based on blink identification and vision induced 3D printer control method |
| CN108089451A (en) * | 2017-01-11 | 2018-05-29 | 浙江师范大学 | A kind of intelligent sleep environmental control system based on real-time neuroelectricity signal processing |
| CN107168134A (en) * | 2017-06-27 | 2017-09-15 | 福州大学 | The household electric appliance control method of brain eye combination drive |
| 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 |
| CN109164912A (en) * | 2018-07-19 | 2019-01-08 | 中国矿业大学 | Indoor light self-checking device based on brain-computer interface |
| CN111240462A (en) * | 2018-11-29 | 2020-06-05 | 天津职业技术师范大学 | Brain-computer interface platform based on mixed reality and control method thereof |
| CN110275621A (en) * | 2019-06-26 | 2019-09-24 | 陕西科技大学 | Barrier movable platform is helped based on electro-ocular signal control |
| CN111596572A (en) * | 2020-05-29 | 2020-08-28 | 黄淮学院 | Intelligent home simulation experiment system suitable for brain control |
| CN115296953A (en) * | 2022-09-29 | 2022-11-04 | 深圳市瑞亿科技电子有限公司 | Intelligent household equipment control system and method |
| CN115296953B (en) * | 2022-09-29 | 2023-01-03 | 深圳市瑞亿科技电子有限公司 | Intelligent household equipment control system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105302088A (en) | Smart home system and control method based on brain-computer interface and Zigbee | |
| CN105816170B (en) | Schizophrenia early detection assessment system based on wearable NIRS-EEG | |
| CN204480175U (en) | A kind of view-based access control model brings out the intelligent electrical appliance control device of brain-computer interface | |
| CN101576772A (en) | Brain-computer interface system based on virtual instrument steady-state visual evoked potentials and control method thereof | |
| CN105549743A (en) | Robot system based on brain-computer interface and implementation method | |
| CN110368577A (en) | Programmable flexibility electrical transcranial stimulation and brain wave acquisition integrated system | |
| CN110403740B (en) | Control system based on brain waves | |
| CN107145239A (en) | A kind of intelligence system and its control method that sensor is read based on brain | |
| CN113274032A (en) | Cerebral apoplexy rehabilitation training system and method based on SSVEP + MI brain-computer interface | |
| Ramesh et al. | Brain computer interface system for mind controlled robot using Bluetooth | |
| CN106109164A (en) | Rehabilitation system and the control method of rehabilitation system | |
| CN107510555B (en) | Wheelchair electroencephalogram control device and control method | |
| CN104013400A (en) | High-precision low-power-consumption multi-channel brain deep electroneurographic signal wireless collecting system | |
| CN103055421A (en) | Magnetic needle diagnosis and treatment system | |
| CN211024807U (en) | Intelligent electric stimulation hand trainer with multiple trigger modes | |
| CN212941005U (en) | Myoelectric biofeedback therapeutic instrument | |
| CN103294192A (en) | LED lamp switch control device and control method thereof based on motor imagery | |
| Varada et al. | Measuring and processing the brains EEG signals with visual feedback for human machine interface | |
| CN113359991B (en) | Intelligent brain-controlled mechanical arm auxiliary feeding system and method for disabled people | |
| CN105066359A (en) | Air-conditioning remote control method based on electroencephalograph control | |
| CN103582212A (en) | Light control system and method | |
| CN104752905A (en) | Intelligent socket matched with intelligent wearable equipment for use, and use method of intelligent socket | |
| CN103479471B (en) | Intelligent amblyopic treatment instrument and control method thereof | |
| Edlinger et al. | A hybrid brain-computer interface for improving the usability of a smart home control | |
| CN105125186A (en) | Method and system for determining intervention treatment mode |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| DD01 | Delivery of document by public notice |
Addressee: Tianjin University of Technology and Education Document name: Notification of Decision on Request for Restoration of Right |
|
| DD01 | Delivery of document by public notice | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160203 |
|
| RJ01 | Rejection of invention patent application after publication |