CN102728068A - Control system and control method for electric toy car - Google Patents
Control system and control method for electric toy car Download PDFInfo
- Publication number
- CN102728068A CN102728068A CN2012102263267A CN201210226326A CN102728068A CN 102728068 A CN102728068 A CN 102728068A CN 2012102263267 A CN2012102263267 A CN 2012102263267A CN 201210226326 A CN201210226326 A CN 201210226326A CN 102728068 A CN102728068 A CN 102728068A
- Authority
- CN
- China
- Prior art keywords
- signal
- unit
- control
- communication unit
- toy car
- 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.)
- Granted
Links
Images
Abstract
The invention relates to a control system and a control method for an electric toy car. The control system comprises electric wave collection equipment, an electric wave signal processing device and a car control device, wherein the electric wave collection equipment is used for collecting, acquiring, filtering and amplifying a brain wave signal and an electromyographic signal of a user ; the wave signal processing device is used for carrying out lowpass filtering, decomposition, characteristic extraction and linear perception categorization processing on the amplified brain wave signal and electromyographic signal to obtain a corresponding control instruction signal; the car control device is used for converting the control instruction signal into a pulse control signal matched with the car speed to control a motor of the toy car; and a first communication unit, a second communication unit and a third communication unit arranged are successively conducted and connected through wireless Bluetooth transceivers arranged on the control system. Therefore, real-time attention, relaxation degree and control on the toy car can be directly detected by collecting the brain wave and electromyographic wave of the user, and the traditional controllers such as mouse, remote control unit and the like are omitted. The control system disclosed by the invention is simple and convenient in operation, has the advantages of strong entertainment, wide application and obvious effects on training the attention and the relaxation degree of children and on the auxiliary treatment of the hyperactivity.
Description
Technical field
The present invention relates to the electric toy car technical field, relate in particular to a kind of control system and control method of electric toy car.
Background technology
Along with progress of science and technology and development; Novel toy emerges in an endless stream; The remote-control toy of acousto-optic electricity one becomes the main flow in market already; People are also actively expanding new toy industry in development traditional toy industry, therefore intelligent toy becomes each new developing goal of big toy manufacturer.Compared to the traditional intelligence toy, brain electric control intelligent toy possesses inborn huge advantage.The traditional intelligence toy needs the player to possess certain manipulative ability and theoretical foundation, and this just defines the exclusive product that the traditional intelligence toy can only be adult or young scientific and technological fan.Brain electric control toy does not then possess above restriction, and brain electric control toy has obtained liking of children with its unique novel control mode.Brain electric control toy is not only that toy is in a form and a technical innovation; Just expression of children education expert is arranged; It controls the form of expression of toy through the brain electricity; To a certain degree to cultivating the coordination of child's brain and hand, thereby and induce child to focus one's attention on and to play certain curative effect aspect " ADD " treating.At present, the domestic head of a family is increasingly high requiring aspect " intelligence development " to toy, and the appearance of brain electronic game tool will be the trend that has led toy product of new generation undoubtedly.
A kind of directly dolly of seeking based on the brain electric control has appearred at present; Be absorbed in eeg signal when doing something through gathering the user; Pass to the toy dolly through Radio Transmission Technology, the dolly single-chip microcomputer is handled eeg signal, extracts characteristic signal wherein; And mate, thereby realize control to little vehicle speed with corresponding specific speed value.Infrared photoelectric sensor transmitter emission on the dolly car body is infrared to map; Running into the white background black line then transmits to receiver; Signal receiver sends signal to single-chip microcomputer again, and single-chip microcomputer is handled the control dolly left and right sides, back motor speed, turns about the realization dolly.
Existing brain electric control dolly is a speed of controlling dolly through the degree of notice, and through sensor seek the footpath realize dolly about turn.Sensor seek the footpath realize dolly about turn that this has just limited dolly operation in certain scene that has set again, and can not be artificial go control dolly about turn, this has lowered the play and the interest of brain electric control dolly greatly.
Summary of the invention
For solving the problems referred to above that exist in the prior art; The invention provides a kind of operation letter, convenient; Applied range, recreational strong, for the control system and the control method of the assisting in diagnosis and treatment outstanding effect electric toy car of the training of child attention and allowance and hyperactivity.
For solving the problems of the technologies described above, the present invention adopts following technical scheme:
A kind of control system of electric toy car includes electric wave collecting device, electric wave signal treating apparatus and controller of vehicle that conducting successively connects; Wherein,
Said electric wave collecting device include one be used to obtain user's eeg signal and myoelectricity ripple signal electric wave collecting unit, be used for the eeg signal and the myoelectricity ripple signal that obtain are filtered amplifying signal amplification filtering unit; And one first communication unit, and said electric wave collecting unit, signal amplification filtering unit are connected with first communication unit conducting successively;
Said electric wave signal treating apparatus includes one and is used for the low-pass filter unit, that the high-frequency signal with eeg signal after amplifying and myoelectricity ripple signal filters out and is used for eeg signal after the filtration treatment and myoelectricity ripple signal are decomposed; The resolving cell, one that obtains corresponding wave band coefficient data is used for being used for the categorization of perception unit, that the myoelectricity ripple signal subband energy feature vector that extracts carries out linear categorization of perception is used for exporting according to the linear categorization of perception of obtaining from the feature extraction unit, that the wave band coefficient data that eeg signal and myoelectricity ripple signal decomposition go out extracts the sub belt energy characteristic vector control signal unit of corresponding control instruction signal, and a second communication unit;
Said control device is installed on the said toy car; Including one is used for the control signal modulating unit, that the control instruction signal converts the pulse-modulated signal of the corresponding coupling speed of a motor vehicle to is used for a motor control unit and the third communication unit the toy car motor controlled according to pulse-modulated signal; Said motor control unit is connected with the conducting of control signal modulating unit with third communication unit, and said motor control unit is connected with the motor conducting of said toy car;
Said first communication unit, second communication unit and third communication unit conducting successively are connected.
Further; Said electric wave signal treating apparatus also includes a data processing unit; Said data processing unit is connected with said low-pass filter unit, signal decomposition unit, feature extraction unit, categorization of perception unit, control signal unit and second communication cell conduction, the common handled of accomplishing said eeg signal and myoelectricity ripple signal that cooperates.
Further, said electric wave collecting unit is the single pass dried electrode that is placed on user's brain forehead place, and said signal amplification filtering unit is the TGAM chip.
Further, said low-pass filter unit is for filtering the low pass filter of the above high-frequency signal of 50Hz, and said categorization of perception unit is linear categorization of perception device.
Further; Said electric wave signal treating apparatus be one be equipped with control systems soft ware PC, said data processing unit, low-pass filter unit, signal decomposition unit, feature extraction unit, categorization of perception unit, control signal unit and second communication unit all are located in the said PC.
Further, said first communication unit, second communication unit and third communication unit are the wireless blue tooth transceiver that matees each other.
Further, this control system also includes one and is used for taking in real time the image unit of said toy car running status, and said image unit is connected with the conducting of said eeg signal treating apparatus.
Further, said first communication unit, second communication unit and third communication unit are the wireless blue tooth transceiver that matees each other, and said image unit is the wireless camera that matees each other with said second communication unit.
A kind of control method of electric toy car includes following steps:
A. gather, obtain user's eeg signal and myoelectricity ripple signal, and filter, processing and amplifying;
B. eeg signal after amplifying and myoelectricity ripple signal are carried out LPF, decomposition, feature extraction, linear categorization of perception processing successively, obtain user real time notice and allowance, and the corresponding control instruction signal of said toy car;
C. this control instruction signal is converted to the pulse control signal of the coupling speed of a motor vehicle, the motor of said toy car is controlled.
Further, said resolution process is specially: with the one-dimensional discrete small echo data of filtering are carried out 6 layers decomposition, obtain the wave band coefficient data of corresponding D elta, Theta, Alpha, the Beta rhythm and pace of moving things.
The invention has the beneficial effects as follows:
The present invention is through technique scheme, and said control system and control method directly detect user real time notice, allowance through gathering user's brain wave and myoelectricity ripple, and realization is to the startup of toy car, a left side/turn right with control such as stop; Controllers such as traditional mouse, remote controller had both been broken away from; Also no longer need sensor to limit and turn about toy car is realized, the driving range and the path of restriction toy car are controlled very simple, easy, convenient; Recreational stronger; And the application scenario is extensive, and is like fields such as amusement, education, obvious for the assisting in diagnosis and treatment effect of the training of child attention and allowance and hyperactivity.
Description of drawings
Fig. 1 is the structural principle block diagram of the control system of the said electric toy car of the embodiment of the invention;
Fig. 2 is the effect sketch map at the pseudo operation interface of the said control of embodiment of the invention system;
Fig. 3 is the effect sketch map of the real-time video operation interface of the said control of embodiment of the invention system;
Fig. 4 is the schematic flow sheet of the control method of the said a kind of electric toy car of the embodiment of the invention;
Fig. 5 is the schematic flow sheet of step B in the said control method of Fig. 4 embodiment of the invention;
Fig. 6 is the principle schematic of resolution process in the said control method of Fig. 5 embodiment of the invention;
Fig. 7 is the algorithm flow sketch map of categorization of perception in the said control method of Fig. 5 embodiment of the invention.
The specific embodiment
In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing and embodiment.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
Referring to Fig. 1 to Fig. 3, the control system of the described a kind of electric toy car of the embodiment of the invention includes electric wave collecting device 1, electric wave signal treating apparatus 2 and controller of vehicle 3 that conducting successively connects.Wherein, Said electric wave collecting device 1 includes electric wave collecting unit 11, signal amplification filtering unit 12 and first communication unit 13; And said electric wave collecting unit 11, signal amplification filtering unit 12 are connected with first communication unit 13 conducting successively; Said electric wave collecting unit 11 is the single pass dried electrode that is placed on user's brain forehead place; Be mainly used in and obtain user's eeg signal and myoelectricity ripple signal, said signal amplification filtering unit 12 is the TGAM chip, and the eeg signal and the myoelectricity ripple signal that are mainly used in obtaining filter amplification; Said electric wave signal treating apparatus 2 one is equipped with the PC of control systems soft ware; Include low-pass filter unit 21, resolving cell 22, feature extraction unit 23, categorization of perception unit 24, control signal unit 25, data processing unit 26 and second communication unit 27; Said low-pass filter unit 21 is for filtering the low pass filter of the above high-frequency signal of 50Hz; The eeg signal and the high-frequency signal in the myoelectricity ripple signal that will be mainly used in after will amplifying filter out; Said resolving cell 22 is mainly used in eeg signal after the filtration treatment and myoelectricity ripple signal is decomposed; Obtain corresponding wave band coefficient data; Said feature extraction unit 23 is mainly used in the wave band coefficient data that goes out from eeg signal and myoelectricity ripple signal decomposition and extracts the sub belt energy characteristic vector; Said categorization of perception unit 24 is linear categorization of perception device; Be mainly used in the myoelectricity ripple signal subband energy feature vector that extracts is carried out linear categorization of perception, said control signal unit 25 is mainly used in according to the linear categorization of perception of obtaining and exports corresponding control instruction signal, and said data processing unit 26 27 conductings are connected with the second communication unit with low-pass filter unit 21, signal decomposition unit 22, feature extraction unit 23, categorization of perception unit 24, control signal unit 25; And be located in the PC the common handled of accomplishing eeg signal and myoelectricity ripple signal that cooperates; Said control device 3 is installed on the said toy car; Include control signal modulating unit 31, motor control unit 32 and third communication unit 33; Said control signal modulating unit 31 is Arduino control panels; Be mainly used in the pulse-modulated signal that the control instruction signal is converted to the corresponding coupling speed of a motor vehicle; Said motor control unit 32 is mainly used in according to pulse-modulated signal to be controlled the toy car motor, and said motor control unit 32 is connected with 31 conductings of control signal modulating unit with third communication unit 33, and said motor control unit 32 is connected with the motor conducting of toy car; Said first communication unit 13, second communication unit 27 and third communication unit 33 are the wireless blue tooth transceiver (as: BLK-MD-BC04-B bluetooth module) of coupling each other, and conducting connects successively.
In addition; This control system also includes one and is used for taking in real time the image unit 4 of said toy car running status, and said image unit 4 is the wireless camera that matees each other with second communication unit 27, is connected with PC (electric wave signal treating apparatus) 2 conductings; The toy car running state data of taking is in real time transferred on the PC 2; And 28 demonstrations at the policer operation interface, carry out real-time video monitoring, simultaneously; Policer operation interface 28 is provided with the display window 29 of user real time focus signal value and allowance signal value, and the signal value scope is 0～100; And the user also can carry out the switching of virtual display frame and scene display frame in real time through virtual/outdoor scene button 20 that operation supervise and control operation interface 28 is provided with, and controls flexibly, and interest is stronger.
During use; At first be worn over electric wave collecting device 1 on the head; And dried electrode (electric wave collecting unit) 11 is placed into forehead (because the myoelectricity ripple that forehead produces is the main position of gathering notice and allowance); Gather, obtain user's eeg signal and myoelectricity ripple signal, and filter, after the processing and amplifying, be sent to eeg signal and myoelectricity ripple signal after amplifying on the PC (electric wave signal treating apparatus) 2 through wireless blue tooth transceiver (first communication unit) 13; Then; PC carries out LPF, decomposition, feature extraction, linear categorization of perception processing successively to eeg signal after amplifying and myoelectricity ripple signal; Thereby set up the corresponding rule of eeg data and brain notice, allowance; Judges state nictation draws the corresponding control instruction signal of toy car simultaneously, and is sent to the control instruction signal on the controller of vehicle 3 through wireless blue tooth transceiver (second communication unit) 27; At last, controller of vehicle 3 converts this control instruction signal to mate the speed of a motor vehicle pulse control signal, and the motor of said toy car is controlled, and realizes the control to toy car.
Referring to Fig. 4 to Fig. 7, the control method of the described a kind of electric toy car of the embodiment of the invention includes following steps:
Steps A. gather, obtain user's eeg signal and myoelectricity ripple signal, and filter, processing and amplifying;
Step B. carries out LPF, decomposition, feature extraction, linear categorization of perception processing successively to eeg signal after amplifying and myoelectricity ripple signal, obtains user real time notice and allowance, and the corresponding control instruction signal of toy car;
Step C. converts this control instruction signal to mate the speed of a motor vehicle pulse control signal, and the motor of said toy car is controlled.
Wherein, Said eeg signal after amplifying and myoelectricity ripple signal are carried out LPF, decomposition, feature extraction, linear categorization of perception processing successively; Obtain user real time notice and allowance; And the corresponding control instruction signal of toy car, specifically can for: at first, through low pass filter the high-frequency signal more than the 50Hz is filtered out behind the loading data; Eeg signal and the myoelectricity ripple signal of resolving cell after with filtration treatment carries out 6 layers decomposition with the one-dimensional discrete small echo to the data of filtering then, obtains the wave band coefficient data of corresponding D elta, Theta, Alpha, the Beta rhythm and pace of moving things; Then feature extraction unit extracts the sub belt energy characteristic vector of brain wave from this wave band coefficient data, thereby sets up the corresponding rule of brain wave data and brain notice, allowance; Follow linear categorization of perception device again and the myoelectricity marble band energy feature vector that extracts is carried out linear categorization of perception, identify user's state of blinking according to linear categorization of perception algorithm; Corresponding control instruction signal is exported according to the linear categorization of perception of obtaining in the final control signal unit.
Said linear categorization of perception algorithm specifically can for: at first; A two-dimensional array W of initialization [2] [n] is as the computing constant; And from the myoelectricity marble band energy feature vector that extracts, read K sample data, while initialization one-dimensional distance data D [2] to one-dimensional data X [2] [n]; Then, through D [i] +=W [i] [n] * X [i] [n] formula calculates the distance of each sample data, and the distance B [2] of this sample data and the distance B [1] of a last sample data compared judgement; As D [1] during greater than D [2]; This sample data is carried out the test sample book computing, as D [1] during smaller or equal to D [2], definition W [1] [n] +=X [1] [n] and W [2] [n]-=X [1] [n]; And judge that whether cycle-index is greater than set point number (as 2000 times); Return smaller or equal to set point number when cycle-index and to read next sample data, repeat aforementioned processing, when cycle-index is carried out the test sample book computing greater than set point number; At last according to test sample book operational formula H [i] +=W [i] [n] * X [i] [n] obtains the test result of this sample data; And this sample data test result H [2] and a last sample data test result H [1] judged; As H [1] during greater than H [2]; Return numerical value " 0 ",, return numerical value " 1 " as H [1] during smaller or equal to H [2]; So circulation is accomplished the categorization of perception of myoelectricity marble band energy feature vector repeatedly, identifies user's state of blinking according to this classification results.
Like this, control system according to the invention and control method directly detect user real time notice, allowance through gathering user's brain wave with the myoelectricity ripple, and realization is to the startup of toy car, a left side/turn right with control such as stop; Controllers such as traditional mouse, remote controller had both been broken away from; Also no longer need sensor to limit and turn about toy car is realized, the driving range and the path of restriction toy car are controlled very simple, easy, convenient; Recreational stronger; And the application scenario is extensive, and is like fields such as amusement, education, obvious for the assisting in diagnosis and treatment effect of the training of child attention and allowance and hyperactivity.
The above is a preferred implementation of the present invention; Should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; Can also make some improvement and retouching, these improvement and retouching also are regarded as protection scope of the present invention.
Claims (10)
1. the control system of an electric toy car is characterized in that, includes electric wave collecting device (1), electric wave signal treating apparatus (2) and controller of vehicle (3) that conducting successively connects; Wherein,
Said electric wave collecting device (1) include one be used to obtain user's eeg signal and myoelectricity ripple signal electric wave collecting unit (11), be used for the eeg signal and the myoelectricity ripple signal that obtain are filtered amplifying signal amplification filtering unit (12) and one first communication unit (13), and said electric wave collecting unit (11), signal amplification filtering unit (12) and first communication unit (13) conducting successively are connected;
Said electric wave signal treating apparatus (2) includes one and is used for the low-pass filter unit (21), that the high-frequency signal with eeg signal after amplifying and myoelectricity ripple signal filters out and is used for eeg signal after the filtration treatment and myoelectricity ripple signal are decomposed; The resolving cell (22), one that obtains corresponding wave band coefficient data is used for being used for the categorization of perception unit (24), that the myoelectricity ripple signal subband energy feature vector that extracts carries out linear categorization of perception is used for exporting according to the linear categorization of perception of obtaining from the feature extraction unit (23), that the wave band coefficient data that eeg signal and myoelectricity ripple signal decomposition go out extracts the sub belt energy characteristic vector control signal unit (25) of corresponding control instruction signal, and a second communication unit (27);
Said control device (3) is installed on the said toy car; Including one is used for the control signal modulating unit (31), that the control instruction signal converts the pulse-modulated signal of the corresponding coupling speed of a motor vehicle to is used for a motor control unit (32) and the third communication unit (33) the toy car motor controlled according to pulse-modulated signal; Said motor control unit (32) is connected with control signal modulating unit (31) conducting with third communication unit (33), and said motor control unit (32) is connected with the motor conducting of said toy car;
Said first communication unit (13), second communication unit (27) and third communication unit (33) conducting successively are connected.
2. control according to claim 1 system; It is characterized in that; Said electric wave signal treating apparatus (2) also includes a data processing unit (26); Said data processing unit (26) is connected with said low-pass filter unit (21), signal decomposition unit (22), feature extraction unit (23), categorization of perception unit (24), control signal unit (25) and second communication unit (27) conducting, the common handled of accomplishing said eeg signal and myoelectricity ripple signal that cooperates.
3. control according to claim 2 system is characterized in that, said electric wave collecting unit (11) is the single pass dried electrode at the brain forehead place that is placed on the user, and said signal amplification filtering unit (12) is the TGAM chip.
4. control according to claim 3 system is characterized in that, said low-pass filter unit (21) is for filtering the low pass filter of the above high-frequency signal of 50Hz, and said categorization of perception unit (24) is linear categorization of perception device.
5. according to any one described control system in the claim 2 to 4; It is characterized in that; Said electric wave signal treating apparatus (2) be one be equipped with control systems soft ware PC, said data processing unit (26), low-pass filter unit (21), signal decomposition unit (22), feature extraction unit (23), categorization of perception unit (24), control signal unit (25) and second communication unit (27) all are located in the said PC.
6. according to any one described control system in the claim 1 to 4, it is characterized in that said first communication unit (13), second communication unit (27) and third communication unit (33) are the wireless blue tooth transceiver of coupling each other.
7. control according to claim 6 system; It is characterized in that; This control system also includes one and is used for taking in real time the image unit (4) of said toy car running status, and said image unit (4) is connected with said eeg signal treating apparatus (2) conducting.
8. control according to claim 7 system; It is characterized in that; Said first communication unit (13), second communication unit (27) and third communication unit (33) are the wireless blue tooth transceiver that matees each other, the wireless camera that said image unit (4) is and said second communication unit (27) matees each other.
9. the control method of an electric toy car is characterized in that, includes following steps:
A. gather, obtain user's eeg signal and myoelectricity ripple signal, and filter, processing and amplifying;
B. eeg signal after amplifying and myoelectricity ripple signal are carried out LPF, decomposition, feature extraction, linear categorization of perception processing successively, obtain user real time notice and allowance, and the corresponding control instruction signal of said toy car;
C. this control instruction signal is converted to the pulse control signal of the coupling speed of a motor vehicle, the motor of said toy car is controlled.
10. control method according to claim 9 is characterized in that, said resolution process is specially: with the one-dimensional discrete small echo data of filtering are carried out 6 layers decomposition, obtain the wave band coefficient data of corresponding D elta, Theta, Alpha, the Beta rhythm and pace of moving things.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210226326.7A CN102728068B (en) | 2012-07-03 | 2012-07-03 | Control system and control method for electric toy car |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210226326.7A CN102728068B (en) | 2012-07-03 | 2012-07-03 | Control system and control method for electric toy car |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102728068A true CN102728068A (en) | 2012-10-17 |
| CN102728068B CN102728068B (en) | 2014-04-09 |
Family
ID=46984801
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210226326.7A Expired - Fee Related CN102728068B (en) | 2012-07-03 | 2012-07-03 | Control system and control method for electric toy car |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102728068B (en) |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104149820A (en) * | 2014-08-27 | 2014-11-19 | 西安科技大学 | Railcar brainwave control device and method |
| CN105078448A (en) * | 2014-05-16 | 2015-11-25 | 上海理工大学 | Electroencephalogram acquisition and wireless transmission device |
| CN105214323A (en) * | 2015-10-30 | 2016-01-06 | 黑龙江大学 | The moving body control system that view-based access control model detects and method and electromechanical movement body |
| CN105425963A (en) * | 2015-11-30 | 2016-03-23 | 北京航空航天大学 | System for controlling mechanical arm by brain wave |
| CN105700690A (en) * | 2016-03-31 | 2016-06-22 | 云南省交通科学研究所 | Mobile platform based electroencephalogram multi-media control system |
| CN106406297A (en) * | 2016-08-03 | 2017-02-15 | 哈尔滨工程大学 | Wireless electroencephalogram-based control system for controlling crawler type mobile robot |
| CN106625656A (en) * | 2016-11-03 | 2017-05-10 | 北京石油化工学院 | Control method and control device for drawing robot |
| CN106737761A (en) * | 2017-03-01 | 2017-05-31 | 温州大学 | A kind of Nao Kong intelligence developments robot |
| CN107450559A (en) * | 2017-09-12 | 2017-12-08 | 深圳市宏智力科技有限公司 | Method and device based on brain wave control spider robot movement |
| CN107693012A (en) * | 2017-09-20 | 2018-02-16 | 福州大学厦门工艺美术学院 | A kind of device and method for lifting children's concentration |
| CN108415560A (en) * | 2018-02-11 | 2018-08-17 | 广东欧珀移动通信有限公司 | Electronic device, method of controlling operation thereof and Related product |
| CN108478189A (en) * | 2018-03-06 | 2018-09-04 | 西安科技大学 | A kind of human body ectoskeleton mechanical arm control system and method based on EEG signals |
| CN109164906A (en) * | 2018-06-15 | 2019-01-08 | 深圳市环球易购电子商务有限公司 | More electric wave control method and device |
| CN109326112A (en) * | 2018-11-19 | 2019-02-12 | 广州极飞科技有限公司 | A kind of aircraft remote control device and remote control method |
| CN109521880A (en) * | 2018-11-27 | 2019-03-26 | 东南大学 | A kind of Teleoperation Systems and method based on the driving of mixed biologic electric signal |
| CN109582133A (en) * | 2018-11-05 | 2019-04-05 | 齐鲁工业大学 | A kind of four axis UAV system of idea control, method, equipment and computer readable storage medium |
| CN110152315A (en) * | 2019-04-18 | 2019-08-23 | 深圳创达云睿智能科技有限公司 | A kind of control method of intelligent toy, equipment, terminal device and storage medium |
| CN114756136A (en) * | 2022-06-15 | 2022-07-15 | 深圳市心流科技有限公司 | Training standard reaching prompting method and device for electromyographic signals and electroencephalographic signals |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1149157A (en) * | 1995-10-02 | 1997-05-07 | 齐伯瑙特有限公司 | Hands-free, portable computer and system |
| CN1727028A (en) * | 2005-07-21 | 2006-02-01 | 高春平 | Multi-person game type sport apparatus remote controlled through physiological signals |
| US20080075640A1 (en) * | 2003-08-07 | 2008-03-27 | Hitachi Kokusai Electric Inc. | Substrate processing apparatus and substrate processing method |
| CN201260890Y (en) * | 2008-08-29 | 2009-06-24 | 湖南工程学院 | Toy car with programmable control function |
| CN102113879A (en) * | 2009-12-30 | 2011-07-06 | 上海东方脑科学研究所 | Brainwave real-time evaluation system and evaluation method thereof |
| CN202762092U (en) * | 2012-07-03 | 2013-03-06 | 北京理工大学珠海学院 | Control system of electric toy car |
-
2012
- 2012-07-03 CN CN201210226326.7A patent/CN102728068B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1149157A (en) * | 1995-10-02 | 1997-05-07 | 齐伯瑙特有限公司 | Hands-free, portable computer and system |
| US20080075640A1 (en) * | 2003-08-07 | 2008-03-27 | Hitachi Kokusai Electric Inc. | Substrate processing apparatus and substrate processing method |
| CN1727028A (en) * | 2005-07-21 | 2006-02-01 | 高春平 | Multi-person game type sport apparatus remote controlled through physiological signals |
| CN201260890Y (en) * | 2008-08-29 | 2009-06-24 | 湖南工程学院 | Toy car with programmable control function |
| CN102113879A (en) * | 2009-12-30 | 2011-07-06 | 上海东方脑科学研究所 | Brainwave real-time evaluation system and evaluation method thereof |
| CN202762092U (en) * | 2012-07-03 | 2013-03-06 | 北京理工大学珠海学院 | Control system of electric toy car |
Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105078448A (en) * | 2014-05-16 | 2015-11-25 | 上海理工大学 | Electroencephalogram acquisition and wireless transmission device |
| CN104149820B (en) * | 2014-08-27 | 2016-01-27 | 西安科技大学 | A kind of rail vehicle E.E.G control setup and E.E.G control method |
| CN104149820A (en) * | 2014-08-27 | 2014-11-19 | 西安科技大学 | Railcar brainwave control device and method |
| CN105214323A (en) * | 2015-10-30 | 2016-01-06 | 黑龙江大学 | The moving body control system that view-based access control model detects and method and electromechanical movement body |
| CN105425963B (en) * | 2015-11-30 | 2019-04-26 | 北京航空航天大学 | A kind of system of brain wave control mechanical arm |
| CN105425963A (en) * | 2015-11-30 | 2016-03-23 | 北京航空航天大学 | System for controlling mechanical arm by brain wave |
| CN105700690A (en) * | 2016-03-31 | 2016-06-22 | 云南省交通科学研究所 | Mobile platform based electroencephalogram multi-media control system |
| CN106406297A (en) * | 2016-08-03 | 2017-02-15 | 哈尔滨工程大学 | Wireless electroencephalogram-based control system for controlling crawler type mobile robot |
| CN106625656A (en) * | 2016-11-03 | 2017-05-10 | 北京石油化工学院 | Control method and control device for drawing robot |
| CN106737761A (en) * | 2017-03-01 | 2017-05-31 | 温州大学 | A kind of Nao Kong intelligence developments robot |
| CN107450559A (en) * | 2017-09-12 | 2017-12-08 | 深圳市宏智力科技有限公司 | Method and device based on brain wave control spider robot movement |
| CN107693012A (en) * | 2017-09-20 | 2018-02-16 | 福州大学厦门工艺美术学院 | A kind of device and method for lifting children's concentration |
| CN107693012B (en) * | 2017-09-20 | 2023-05-05 | 福州大学厦门工艺美术学院 | Device and method for improving concentration of children |
| CN108415560A (en) * | 2018-02-11 | 2018-08-17 | 广东欧珀移动通信有限公司 | Electronic device, method of controlling operation thereof and Related product |
| CN108478189A (en) * | 2018-03-06 | 2018-09-04 | 西安科技大学 | A kind of human body ectoskeleton mechanical arm control system and method based on EEG signals |
| CN109164906A (en) * | 2018-06-15 | 2019-01-08 | 深圳市环球易购电子商务有限公司 | More electric wave control method and device |
| CN109582133A (en) * | 2018-11-05 | 2019-04-05 | 齐鲁工业大学 | A kind of four axis UAV system of idea control, method, equipment and computer readable storage medium |
| CN109326112A (en) * | 2018-11-19 | 2019-02-12 | 广州极飞科技有限公司 | A kind of aircraft remote control device and remote control method |
| CN109521880A (en) * | 2018-11-27 | 2019-03-26 | 东南大学 | A kind of Teleoperation Systems and method based on the driving of mixed biologic electric signal |
| CN109521880B (en) * | 2018-11-27 | 2022-06-24 | 东南大学 | Teleoperation robot system and method based on mixed bioelectricity signal driving |
| CN110152315A (en) * | 2019-04-18 | 2019-08-23 | 深圳创达云睿智能科技有限公司 | A kind of control method of intelligent toy, equipment, terminal device and storage medium |
| CN110152315B (en) * | 2019-04-18 | 2021-11-23 | 深圳创达云睿智能科技有限公司 | Control method and device for intelligent toy, terminal device and storage medium |
| CN114756136A (en) * | 2022-06-15 | 2022-07-15 | 深圳市心流科技有限公司 | Training standard reaching prompting method and device for electromyographic signals and electroencephalographic signals |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102728068B (en) | 2014-04-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102728068B (en) | Control system and control method for electric toy car | |
| CN202762092U (en) | Control system of electric toy car | |
| CN102397703B (en) | Routing vehicle system based on electroencephalogram control | |
| CN102176222B (en) | Multi-sensor information collection analyzing system and autism children monitoring auxiliary system | |
| CN105082149B (en) | A kind of health service robot of achievable blood oxygen saturation detection | |
| CN112114670B (en) | Man-machine co-driving system based on hybrid brain-computer interface and control method thereof | |
| CN102178540B (en) | Three-wheeled omnidirectional mobile control device and auxiliary system for autistic children custody | |
| CN107065850A (en) | The four motorized wheels intelligent car systems and its control method of a kind of brain wave control | |
| CN110837298B (en) | Brain wave remote control training system and method based on concentration and vision | |
| CN110403740B (en) | Control system based on brain waves | |
| CN106406297A (en) | Wireless electroencephalogram-based control system for controlling crawler type mobile robot | |
| CN106618963A (en) | Wearable rehabilitation robot glove device and rehabilitation training method after syndactylia operation | |
| CN110286757A (en) | A kind of wearable brain machine interface system and control method based on mixed reality | |
| CN202654544U (en) | Neuromuscular rehabilitation instrument based on electromyographic feedback | |
| CN204480175U (en) | A kind of view-based access control model brings out the intelligent electrical appliance control device of brain-computer interface | |
| CN105138133A (en) | Biological signal gesture recognition device and method | |
| CN107212883A (en) | A kind of mechanical arm writing device and control method based on brain electric control | |
| CN205073668U (en) | Toy train of brain electric control | |
| CN109343704A (en) | A kind of healing robot hand online actions identifying system based on LABVIEW platform | |
| CN105709426B (en) | A kind of control method and device of racer toy vehicles | |
| CN205340145U (en) | Telecontrolled aircraft based on brain wave and muscle electric control | |
| CN206178667U (en) | Wear -type control system based on brain wave analytic technique | |
| CN206162099U (en) | Intelligence house follow -up robot | |
| CN202145292U (en) | Control system based on idea control and device using the same | |
| CN208529107U (en) | A kind of modular remote-controlled robot |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140409 Termination date: 20170703 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |