CN102192173A - Intelligent gesture control electric fan - Google Patents

Intelligent gesture control electric fan Download PDF

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Publication number
CN102192173A
CN102192173A CN2010101197574A CN201010119757A CN102192173A CN 102192173 A CN102192173 A CN 102192173A CN 2010101197574 A CN2010101197574 A CN 2010101197574A CN 201010119757 A CN201010119757 A CN 201010119757A CN 102192173 A CN102192173 A CN 102192173A
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China
Prior art keywords
gestures
images
gesture control
electric fan
gesture
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Pending
Application number
CN2010101197574A
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Chinese (zh)
Inventor
李君宝
闫立军
潘正祥
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Airmate Electrical Shenzhen Co Ltd
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Airmate Electrical Shenzhen Co Ltd
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Publication date
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Priority to CN2010101197574A priority Critical patent/CN102192173A/en
Publication of CN102192173A publication Critical patent/CN102192173A/en
Pending legal-status Critical Current

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Abstract

The invention relates to an intelligent gesture control electric fan which comprises a gesture control unit and a control regulating unit; and the gesture control unit is connected with the control regulating unit which is connected with a motor of the electric fan, wherein the gesture control unit is used for receiving gestures of a user, recognizing and judging the gestures and indicating the control regulating unit to regulate the starting, the closing and the rotating speed of the motor according to the recognizing and judging results. A novel image feature extracting method is used for carrying out effective gesture recognition; the user can face toward the electric fan and can realize general operations such as starting or closing the electric fan, changing the air speed, shaking or stopping of the head of the electric fan and the like on the electric fan through the set gestures. The electric fan is simple to operate and is more humanized and intelligent.

Description

A kind of intelligent gesture control electric fan
Technical field
The present invention relates to electric fan, more particularly, relate to a kind of intelligent gesture control electric fan.
Background technique
Electric fan is a kind of use household electrical appliances very widely, and it has cheap, and characteristics easy to use are subjected to people's popular welcome.Along with the raising day by day of living standard, people are also more and more higher to the novelty and the intelligentized requirement of electric fan.The fan that present prior art does not also utilize gesture to control.
Summary of the invention
The technical problem to be solved in the present invention is, at the defective that existing electric fan can not use gesture and control, provides a kind of intelligent gesture control electric fan.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of intelligent gesture control electric fan, it comprises: gesture control unit and regulating and controlling unit, described gesture control unit connects described regulating and controlling unit, and described regulating and controlling unit connects the motor of electric fan;
Wherein, described gesture control unit is used to receive user's gesture, and described gesture is discerned judgement, and the result who judges according to described identification indicates described regulating and controlling unit to regulate the startup of described motor, close and rotating speed.
Wherein, preferably, described motor comprises speed-adjustable motor and the rotating vane motor of shaking the head, described regulating and controlling unit comprises alignment circuit and the rotating vane circuit of shaking the head, described alignment circuit connects described gesture control unit and described speed-adjustable motor respectively, and the described rotating vane circuit of shaking the head connects described gesture control unit and the described rotating vane motor of shaking the head respectively.
Wherein, preferred, described gesture identification unit comprises: images of gestures acquisition module, pre-processing module, and training module, matching module and output control module, wherein:
Described images of gestures acquisition module is used to gather user's images of gestures;
Described pre-processing module is used for described images of gestures is carried out pretreatment;
Training module is used for the pretreated images of gestures of described process is set up the images of gestures database;
Matching module is used to receive user's gesture control command, with described gesture control command with shown in images of gestures in the images of gestures database mate;
Output control module is used for according to described matching result to regulating and controlling unit output control signal.
Wherein, preferred, described training module is used for setting up the images of gestures database by the method for nonparametric kernel discriminant analysis from extracting effective feature through pretreated images of gestures.
Wherein, preferred, described intelligent gesture control electric fan, it is characterized in that, also comprise voice alerting unit, described voice alerting unit connects described gesture control unit, be used for the images of gestures that receives according to described gesture control unit, report described images of gestures corresponding operation information.
Wherein, preferred, described intelligent gesture control electric fan comprises that also voice take the unit, is used to take voice, described voice are handled according to described processing result is output a control signal to the regulating and controlling unit.
Implement technological scheme of the present invention, has following beneficial effect: utilize new image characteristic extracting method to carry out effective gesture identification, the user can face toward electric fan, can realize general operation by the gesture that configures: start or close electric fan to electric fan, change wind speed, shake the head or stop etc.Electric fan is carried out operation accordingly after receiving gesture command, made things convenient for people's life like this, this fan of use that people can be more convenient.Because in the gesture identification module, adopted NKDA (nonparametric kernel discriminant analysis) feature extracting method, so gesture identification rate height is operated also simplyr, make electric fan hommization and intellectuality more.
Description of drawings
The invention will be further described below in conjunction with drawings and Examples, in the accompanying drawing:
The intelligent gesture that Fig. 1 provides for the embodiment of the invention is controlled the structural representation of electric fan;
Fig. 2 for the embodiment of the invention provide the control flow chart of energy gesture control electric fan.
Embodiment
In order to make purpose of the present invention, technological scheme and advantage clearer,, the present invention is further elaborated below in conjunction with drawings and Examples.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.
The embodiment of the invention provides a kind of intelligent gesture control electric fan, as shown in Figure 1, this electric fan comprises: gesture control unit 110 and regulating and controlling unit 120, and described gesture control unit 110 connects described regulating and controlling unit 120, and described regulating and controlling unit 120 connects the motor 130 of electric fan;
Wherein, described gesture control unit 110 is used to receive user's images of gestures, and described images of gestures is discerned judgement, and the result who judges according to described identification indicates described regulating and controlling unit 120 to regulate the startup of described motor 130, close and rotating speed.In specific embodiment, described motor 130 comprises the speed-adjustable motor 131 and the rotating vane motor 132 of shaking the head, described regulating and controlling unit 120 comprises the alignment circuit 121 and the rotating vane circuit 122 of shaking the head, described alignment circuit 121 connects described gesture control unit 110 and described speed-adjustable motor 131 respectively, and the described rotating vane circuit 122 of shaking the head connects described gesture control unit 110 and the described rotating vane motor 132 of shaking the head respectively.
Among the further embodiment, described gesture identification unit 110 comprises: images of gestures acquisition module 111, pre-processing module 112, training module 113, matching module 114 and output control module 115, wherein:
Described images of gestures acquisition module 111 is used to gather user's images of gestures, and this images of gestures acquisition module can be a camera;
Described pre-processing module 112 is used for described images of gestures is carried out pretreatment, as take, denoising etc.;
Training module 113 is used for the pretreated images of gestures of described process is set up the images of gestures database; Concrete, described training module 113, be used for setting up the images of gestures database from extracting effective feature through pretreated images of gestures by the method for nonparametric kernel discriminant analysis (NDKA), the training stage by training module 113 will gather and pretreated images of gestures set up a database, for example, stretch out a forefinger, the force one wind of indicating, two fingers light breeze of indicating, fist representative shutdown etc., like this, can be during the stage in control operation, compare with these gestures in the database by the gesture that the user sends, if on relatively can correspondence, according to indication in the training stage correspondence, send control signal, the control motor promptly can reach the purpose of controlling electric fan.
Matching module 114 is used to receive user's gesture control command, with described gesture control command with shown in images of gestures in the images of gestures database mate;
Output control module 115 is used for according to described matching result to regulating and controlling unit 120 output control signals.
Wherein, the concrete operation process by NDKA:
Input training sample x 1, x 2..., x M, wherein W is a total sample number
Step 1, calculating weight matrix w Φ ( i , j , k , l ) = min { d α ( x i l , N ( x i l , i , k ) ) , d α ( x i l , N ( x i l , j , k ) ) } d α ( x i l , N ( x i l , i , k ) ) + d α ( x i l , N ( x i l , j , k ) ) , Wherein d α ( x , y ) = ( k ( x , y ) - 2 k ( x , y ) + k ( y , y ) ) α 2 , N (x i l, j, k) expression is from l sample x of i class i lK nearest samples of relative j class.
Step 2, compute matrix B, B = Σ i = 1 c Σ j = 1 j ≠ i c Σ k = 1 k 2 Σ l = 1 n i w Φ ( i , j , k , l ) B ( i , j , k , l ) , Wherein, and B (i, j, k, l)=K 1(i, j, k, l) TK 1(i, j, k, l), K 1 ( i , j , k , l ) = [ k ( x 1 , x i l ) , . . . , k ( x M , x i l ) ] - [ k ( x 1 , y j k ) , . . . , k ( x M , y j k ) ] , y j k = N ( x i l , j , k ) . Step 3, compute matrix W, wherein W = Σ i = 1 c Σ k = 1 k 1 Σ l = 1 n i W ( i , k , l ) , W(i，k，l)＝K 2(i，k，l) TK 2(i，k，l)， K 2 ( i , k , l ) = [ k ( x 1 , x i l ) , . . . , k ( x M , x i l ) ] - [ k ( x 1 , y i k ) , . . . , k ( x M , y i k ) ] , y i k = N ( x i l , i , k ) .
The eigenmatrix Φ of step 4, compute matrix W and individual features value matrix Θ;
Step 5, B is converted to B K = Θ - 1 2 Θ T BΦ Θ - 1 2 .
Step 6, calculating B K, eigenmatrix Ψ and eigenvalue matrix Λ.
Step 7, calculating mapping matrix W = Φ Θ - 1 2 Ψ .
Step 8, for input x, calculated characteristics vector y=W T[k (x 1, x), k (x 1, x) ..., k (x M, x)].
Can control fan with pre-set gesture,, based on the gesture identification algorithm of NKDA, be beneficial to control more accurately fan in this invention for correct recognition rata and the stability that improves gesture identification.
In addition, in a further embodiment, described intelligent gesture control electric fan, also comprise voice alerting unit, described voice alerting unit connects described gesture control unit, is used for the images of gestures that receives according to described gesture control unit, reports described images of gestures corresponding operation information.
In a further embodiment, described intelligent gesture control electric fan, comprise that also voice take the unit, be used to take voice, described voice are handled according to described processing result output a control signal to the regulating and controlling unit, if user voice command is the automatic orientation air-supply, then take the unit to carry out the source of sound localization process by voice, then voice signal is carried out noise reduction process, to reduce ambient noise to location influence, arrive the lead time of two sound transducers then by the computing voice signal, and then can calculate the deviation angle of sound, export control signal corresponding at last again to the regulating and controlling unit.
Fig. 2 for the embodiment of the invention provide the control flow chart of energy gesture control electric fan, this control flow comprises: training stage and control stage, set up the images of gestures database by the training stage earlier, corresponding certain operation of certain gesture motion, carry out feature extraction by the method for NKDA then, can also be as required the pattern of new database more;
The control stage carries out this images of gestures carrying out feature extraction after the pretreatment by the camera collection images of gestures then;
The images of gestures that the control stage carries out after the feature extraction is mated with the images of gestures of being undertaken by the method for NKDA in the database that feature extraction sets up,, then export the control signal of this gesture correspondence if be complementary.
The above only is preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of being done within the spirit and principles in the present invention, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.

Claims (6)

1. an intelligent gesture control electric fan is characterized in that, comprising: gesture control unit and regulating and controlling unit, and described gesture control unit connects described regulating and controlling unit, and described regulating and controlling unit connects the motor of electric fan;
Wherein, described gesture control unit is used to receive user's gesture, and described gesture is discerned judgement, and the result who judges according to described identification indicates described regulating and controlling unit to regulate the startup of described motor, close and rotating speed.
2. intelligent according to claim 1 gesture control electric fan, it is characterized in that, described motor comprises speed-adjustable motor and the rotating vane motor of shaking the head, described regulating and controlling unit comprises alignment circuit and the rotating vane circuit of shaking the head, described alignment circuit connects described gesture control unit and described speed-adjustable motor respectively, and the described rotating vane circuit of shaking the head connects described gesture control unit and the described rotating vane motor of shaking the head respectively.
3. intelligent according to claim 1 gesture control electric fan is characterized in that described gesture identification unit comprises: images of gestures acquisition module, pre-processing module, and training module, matching module and output control module, wherein:
Described images of gestures acquisition module is used to gather user's images of gestures;
Described pre-processing module is used for described images of gestures is carried out pretreatment;
Training module is used for the pretreated images of gestures of described process is set up the images of gestures database;
Matching module is used to receive user's gesture control command, with described gesture control command with shown in images of gestures in the images of gestures database mate;
Output control module is used for according to described matching result to regulating and controlling unit output control signal.
4. as intelligent gesture control electric fan as described in the claim 3, it is characterized in that described training module is used for setting up the images of gestures database by the method for nonparametric kernel discriminant analysis from extracting effective feature through pretreated images of gestures.
5. intelligent according to claim 1 gesture control electric fan, it is characterized in that, also comprise voice alerting unit, described voice alerting unit connects described gesture control unit, be used for the images of gestures that receives according to described gesture control unit, report described images of gestures corresponding operation information.
6. intelligent according to claim 1 gesture control electric fan is characterized in that, comprises that also voice take the unit, is used to take voice, described voice are handled according to described processing result is output a control signal to the regulating and controlling unit.
CN2010101197574A 2010-03-08 2010-03-08 Intelligent gesture control electric fan Pending CN102192173A (en)

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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102894652A (en) * 2012-08-23 2013-01-30 安徽大学 Intelligent rotating dining table
CN103728906A (en) * 2014-01-13 2014-04-16 江苏惠通集团有限责任公司 Intelligent home control device and method
CN104632680A (en) * 2015-01-28 2015-05-20 广州光炬智能科技有限公司 Fan drive device
CN104834222A (en) * 2015-04-30 2015-08-12 广东美的制冷设备有限公司 Control method and apparatus for household electrical appliance
WO2017015913A1 (en) * 2015-07-29 2017-02-02 薄冰 Method for adjusting use state of fan via gesture and fan
WO2017015914A1 (en) * 2015-07-29 2017-02-02 薄冰 Method for prompting information when adjusting fan via gesture and fan
WO2017028187A1 (en) * 2015-08-18 2017-02-23 黄冠明 Method for matching fan state according to iris, and fan
CN106704238A (en) * 2016-12-26 2017-05-24 广东美的环境电器制造有限公司 Fan control method and device, and fan
CN107577411A (en) * 2017-07-19 2018-01-12 陈宗林 Touch gestures identify motor speed regulating method
CN107781205A (en) * 2017-10-09 2018-03-09 珠海格力电器股份有限公司 Fan and its air-out control method, device and system
CN107977078A (en) * 2017-11-27 2018-05-01 惠州市物联微电子有限公司 A kind of wireless gesture induction control system based on 2.4G
CN108105136A (en) * 2017-11-03 2018-06-01 珠海格力电器股份有限公司 Control method, device and the fan of fan
CN111412171A (en) * 2020-03-31 2020-07-14 佛山市云米电器科技有限公司 Control method and system of intelligent air outlet equipment and computer readable storage medium
CN111425438A (en) * 2020-03-31 2020-07-17 佛山市云米电器科技有限公司 Intelligent air outlet equipment control method and system and computer readable storage medium
CN112904998A (en) * 2019-12-04 2021-06-04 佛山市云米电器科技有限公司 Fan control method, fan and computer readable storage medium

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Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102894652A (en) * 2012-08-23 2013-01-30 安徽大学 Intelligent rotating dining table
CN103728906A (en) * 2014-01-13 2014-04-16 江苏惠通集团有限责任公司 Intelligent home control device and method
US11486598B2 (en) 2015-01-28 2022-11-01 Botao Zhang Fan driving device
CN104632680A (en) * 2015-01-28 2015-05-20 广州光炬智能科技有限公司 Fan drive device
CN104632680B (en) * 2015-01-28 2016-07-06 胡军 A kind of fan drive device
CN104834222A (en) * 2015-04-30 2015-08-12 广东美的制冷设备有限公司 Control method and apparatus for household electrical appliance
WO2017015913A1 (en) * 2015-07-29 2017-02-02 薄冰 Method for adjusting use state of fan via gesture and fan
WO2017015914A1 (en) * 2015-07-29 2017-02-02 薄冰 Method for prompting information when adjusting fan via gesture and fan
WO2017028187A1 (en) * 2015-08-18 2017-02-23 黄冠明 Method for matching fan state according to iris, and fan
CN106704238A (en) * 2016-12-26 2017-05-24 广东美的环境电器制造有限公司 Fan control method and device, and fan
CN106704238B (en) * 2016-12-26 2019-01-18 广东美的环境电器制造有限公司 The control method and device of fan, fan
JP2020516800A (en) * 2016-12-26 2020-06-11 広東美的環境電器制造有限公司 Fan control method and device, and fan
CN107577411A (en) * 2017-07-19 2018-01-12 陈宗林 Touch gestures identify motor speed regulating method
CN107781205A (en) * 2017-10-09 2018-03-09 珠海格力电器股份有限公司 Fan and its air-out control method, device and system
CN108105136A (en) * 2017-11-03 2018-06-01 珠海格力电器股份有限公司 Control method, device and the fan of fan
CN107977078A (en) * 2017-11-27 2018-05-01 惠州市物联微电子有限公司 A kind of wireless gesture induction control system based on 2.4G
CN112904998A (en) * 2019-12-04 2021-06-04 佛山市云米电器科技有限公司 Fan control method, fan and computer readable storage medium
CN111412171A (en) * 2020-03-31 2020-07-14 佛山市云米电器科技有限公司 Control method and system of intelligent air outlet equipment and computer readable storage medium
CN111425438A (en) * 2020-03-31 2020-07-17 佛山市云米电器科技有限公司 Intelligent air outlet equipment control method and system and computer readable storage medium

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Application publication date: 20110921