CN108131808A - Air conditioning control device and method based on classification gesture identification - Google Patents
Air conditioning control device and method based on classification gesture identification Download PDFInfo
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Abstract
The present invention relates to a kind of air conditioning control devices and method based on classification gesture identification, it is opened up two parallel threads by picture recognition module and carries out level-one gesture identification and two level gesture identification to off-the-air picture, if identify level-one gesture or two level gesture, matched first-level instruction or two level instruction are stored；Only when first-level instruction and two level instruction are stored when instructing in memory module simultaneously, and first-level instruction and two level instruction are combined together the control that can be realized to air-conditioning.Compared with prior art, the present invention realizes the controls such as the temperature height to air-conditioning, wind speed size, model selection by the different gestures of people, and the interactive mode for making user and air-conditioning is more intelligent, more convenient using air-conditioning.In addition, the present invention comes together to realize the control to air-conditioning by two-stage gesture so that the control of air-conditioning is more stablized.
Description
Technical field
The present invention relates to home wiring control fields, and in particular to a kind of air conditioning control device and side based on classification gesture identification
Method.
Background technology
The control of present air-conditioning is controlled by remote controler, and people pass through the indicator light on air-conditioning after having used remote controler
Or display panel knows the operating status of air-conditioning.In addition there are also can be by fuselage with button with air conditioner
Button operates air-conditioning.That is, current airconditioning control must by one independently of human body outside medium（Such as
Button with remote controler, air conditioner）It could realize, before user thinks that operating air conditioner will first go for remote controler or go to conditioned surface
It goes, by button, to operate very inconvenient.
Invention content
The purpose of the present invention is to provide a kind of air conditioning control devices and method based on classification gesture identification, can improve
User is to the ease of use of air-conditioning.
To achieve the above object, the technical solution adopted by the present invention is：
A kind of air conditioning control device based on classification gesture identification is known including image capture module, image processing module, image
Other module, gesture instruction matching module, instruction memory module and instruction explanation module, wherein,
Described image acquisition module, for acquiring indoor image；Described image processing module, for image is handled with
Remove the noise in image；
Picture recognition module for storing preset level-one gesture and two level gesture, and carries out gesture identification to image；
The gesture instruction matching module for being used to store preset instructions, and searches the finger to match with the gesture identified
It enables, which includes first-level instruction and two level instructs, and first-level instruction is corresponding with level-one gesture, is used for air-conditioner temperature, wind
The selection of speed, air conditioning mode；Two level instruction is corresponding with two level gesture, including adding, subtracting, the next item up, the next item down, for temperature
The control of degree height, wind speed size, air conditioning mode option；
Described instruction memory module, should for storing the first-level instruction found in gesture instruction matching module and two level instruction
Memory module is instructed to include first-level instruction storage unit and the two level location of instruction；
Described instruction explanation module, for the instruction of storage to be construed to airconditioning control signal.
Described image acquisition module includes infrared camera and infrared light compensating lamp.
A kind of air conditioning control method based on classification gesture identification, using above-mentioned air conditioning control device, specifically includes following
Step：
Step 1, gesture identification model training
By acquiring the picture and video of various people indoors, gesture area is then manually calibrated, the data demarcated are sent
Enter and be trained in depth convolutional neural networks, obtain gesture identification model；
Gesture by palm towards, finger towards and finger bending whether, defined with reference to the posture of arm；
Step 2 presets level-one gesture and two level gesture in picture recognition module, is preset and one in gesture instruction matching module
Grade gesture and the matched first-level instruction of two level gesture and two level instruction；
Step 3 obtains off-the-air picture, and image is sent to image processing module by image capture module；Pass through image procossing
Module carries out wavelet transformation to image, then image is handled to remove in image with median filter and Gaussian filter
Noise, processed image is sent to picture recognition module；
Step 4 opens up two parallel threads by picture recognition module respectively to image progress level-one gesture identification and two level
Gesture identification；
Step 4.1, level-one gesture identification
Step 4.1.1, according to the gesture identification model obtained in step 1, gesture recognition process is carried out to image, is exported as gesture
X or without gesture；If output is not level-one gesture for no gesture or gesture X, abandons picture and continue to identify next frame figure
Picture；If gesture X is level-one gesture, gesture X is sent to gesture instruction matching module；
Step 4.1.2, gesture instruction matching module is according to the matching first-level instruction command_1_ of the type search of gesture X
X, and by the first-level instruction storage unit of first-level instruction command_1_X write instruction memory modules, and opening timing device
Timer；When timer Timer then after, the first-level instruction that stores in the first-level instruction storage unit of clearance order memory module
It deposits；
Step 4.2, two level gesture identification
Step 4.2.1, according to the gesture identification model obtained in step 1, gesture recognition process is carried out to image, is exported as gesture
Y or without gesture；If output is not two level gesture for no gesture or gesture Y, abandons picture and continue to identify next frame；Such as
Fruit gesture Y is two level gesture, and gesture Y is sent to gesture instruction matching module；
Step 4.2.2, gesture instruction matching module is according to the matching instruction command_2_Y of the type search of gesture Y, and
It will be in the two level location of instruction of command_2_Y write instruction memory modules；
Step 4.2.3, whether the instruction of decision instruction storage unit storage is complete, i.e., whether exists simultaneously first-level instruction and two level
Instruction；Complete instruction command_1_X+command_2_Y are sent to instruction explanation module, clearance order if complete
The two level instruction stored in memory module, and refresh the timer Timer of first-level instruction retention time；If imperfect, directly
The two level instruction stored in the two level location of instruction of flush instructions memory module；
Step 4.2.4, instruction explanation module calculates instruction according to the instruction command_1_X+command_2_Y received
Corresponding control signal, and send control signals to air-conditioning.
Definition of gesture is level-one gesture and two level gesture by the present invention, wherein, level-one gesture is for selecting to need to adjust
Project, that is, air-conditioner temperature, wind speed, pattern, two level gesture are used to adjust the sizes of detailed programs, as temperature height, wind speed size,
The mode option；And pass through picture recognition module and open up two parallel threads to off-the-air picture progress level-one gesture identification and two level hand
Gesture identifies, if identify level-one gesture or two level gesture, stores matched first-level instruction or two level instruction；Only when
First-level instruction and two level instruction are stored when instructing in memory module simultaneously, and first-level instruction and two level instruction are combined together
It can realize the control to air-conditioning.Compared with prior art, the present invention realizes the temperature to air-conditioning by the different gestures of people
Just, the controls such as wind speed size, model selection, the interactive mode for making user and air-conditioning is more intelligent, more convenient using air-conditioning.
In addition, the present invention comes together to realize the control to air-conditioning by two-stage gesture so that the control of air-conditioning is more stablized.
Description of the drawings
Fig. 1 is structure diagram of the present invention；
Fig. 2 is level-one gesture identification flow chart of the present invention；
Fig. 3 is level-one gesture schematic diagram of the present invention；
Fig. 4 is two level gesture identification flow chart of the present invention；
Fig. 5 is two level gesture schematic diagram of the present invention.
Specific embodiment
Referring to figs. 1 to shown in Fig. 5, present invention is disclosed a kind of air conditioning control device based on classification gesture identification, packets
Include image capture module 1, image processing module 2, picture recognition module 3, gesture instruction matching module 4,5 and of instruction memory module
Explanation module 6 is instructed, wherein,
Image capture module 1 for acquiring indoor image, is made of infrared camera and infrared light compensating lamp；
Image processing module 2, for being handled image to remove the noise in image；
Picture recognition module 3 for storing preset level-one gesture and two level gesture, and carries out gesture identification to image；
Gesture instruction matching module 4, the instruction that the gesture for searching and identifying matches, the instruction include first-level instruction and
Two level instructs, and first-level instruction is corresponding with level-one gesture, is used for the selection to air-conditioner temperature, wind speed, air conditioning mode；Two level refers to
Order is corresponding with two level gesture, including adding, subtracting, the next item up, the next item down, for temperature height, wind speed size, air conditioning mode
The control of option；
Memory module 5 is instructed, for storing the first-level instruction found in gesture instruction matching module and two level instruction, the instruction
Memory module includes first-level instruction storage unit and the two level location of instruction；；
Explanation module 6 is instructed, for the instruction of storage to be construed to airconditioning control signal.
One complete instruction includes first-level instruction and two level instruction, first-level instruction such as temperature, wind speed, air conditioning mode etc.；
Two level instruction includes adding, subtract, the next item up, the next item down etc..
Based on above device, present invention further teaches a kind of air conditioning control method based on classification gesture identification, including
Following steps：
Step 1, gesture identification model training
By acquiring the picture and video of various people indoors, accurately gesture area is then manually calibrated（Including palm, hand
Finger and arm）, the data demarcated are sent into depth convolutional neural networks（CNN, Convolution Neural Network）
In be trained, obtain gesture identification model；
Gesture by palm towards, finger towards and finger bending whether, defined with reference to the posture of arm.Definition of gesture
In angle, towards be all opposite camera visual angle for, the direction of palm is the centre of the palm or the palm by towards camera
Direction；The direction of finger includes four direction up and down；The posture of arm includes large arm and human body angulation and forearm
Angle between large arm.
Step 2 presets level-one gesture and two level gesture, and in gesture instruction matching module 4 in picture recognition module 3
It is default to be instructed with level-one gesture and the matched first-level instruction of two level gesture and two level；
Step 3 obtains off-the-air picture, and image is sent to image processing module 2 by image capture module 1；At image
It manages module 2 and wavelet transformation is carried out to image, then image is handled with median filter and Gaussian filter to remove figure
Noise as in, picture recognition module 3 is sent to by processed image；
Step 4 opens up two parallel threads by picture recognition module 3 respectively to image progress level-one gesture identification and two level
Gesture identification；
Step 4.1, level-one gesture identification
Step 4.1.1, according to the gesture identification model obtained in step 1, gesture recognition process is carried out to image, is exported as gesture
X or without gesture；If output is not level-one gesture for no gesture or gesture X, abandons picture and continue to identify next frame figure
Picture；If gesture X is level-one gesture, gesture X is sent to gesture instruction matching module 4；
Step 4.1.2, gesture instruction matching module 4 is according to the matching first-level instruction command_ of the type search of gesture X
1_X, and by the first-level instruction storage unit of first-level instruction command_1_X write instructions 5 pieces of mould of storage, and opening timing device
Timer；When timer Timer then after, the first-level instruction that stores in the first-level instruction storage unit of clearance order memory module 5
It deposits；
Step 4.2, two level gesture identification
Step 4.2.1, according to the gesture identification model obtained in step 1, gesture recognition process is carried out to image, is exported as gesture
Y or without gesture；If output is not two level gesture for no gesture or gesture Y, abandons picture and continue to identify next frame；Such as
Fruit gesture Y is two level gesture, and gesture Y is sent to gesture instruction matching module 4；
Step 4.2.2, gesture instruction matching module 4 is according to the matching instruction command_2_Y of the type search of gesture Y,
It and will be in the two level location of instruction of command_2_Y write instructions memory module 5；
Whether the instruction that step 4.2.3, decision instruction memory module 5 stores is complete, i.e., whether exists simultaneously first-level instruction and two
Grade instruction；Complete instruction command_1_X+command_2_Y are sent to instruction explanation module 6 if complete, are removed
The two level instruction stored in instruction memory module 5, and refresh the timer Timer of first-level instruction retention time；If imperfect,
The two level instruction stored in the two level location of instruction of direct flush instructions memory module 5；
Step 4.2.4, instruction explanation module 6 calculates instruction according to the instruction command_1_X+command_2_Y received
Corresponding control signal, and send control signals to air-conditioning.
The present invention it is critical that the present invention by definition of gesture be level-one gesture and two level gesture, and pass through image identify
Module opens up two parallel threads and carries out level-one gesture identification and two level gesture identification to off-the-air picture, if identifying level-one gesture
Or during two level gesture, matched first-level instruction or two level instruction are stored；Only when first-level instruction and two level instruct simultaneously
It stores when instructing in memory module, and first-level instruction and two level instruction are combined together the control that can be realized to air-conditioning.
Compared with prior art, the present invention realizes the temperature height to air-conditioning, wind speed size, model selection by the different gestures of people
Deng control, the interactive mode for making user and air-conditioning is more intelligent, more convenient using air-conditioning.In addition, the present invention passes through two-stage hand
Gesture comes together to realize the control to air-conditioning so that the control of air-conditioning is more stablized.
The above is only the embodiment of the present invention, is not intended to limit the scope of the present invention, therefore every
Any subtle modifications, equivalent variations and modifications that technical spirit according to the present invention makees above example still fall within this
In the range of inventive technique scheme.
Claims (3)
1. a kind of air conditioning control device based on classification gesture identification, it is characterised in that：Including image capture module, image procossing
Module, picture recognition module, gesture instruction matching module, instruction memory module and instruction explanation module, wherein,
Described image acquisition module, for acquiring indoor image；
Described image processing module, for being handled image to remove the noise in image；
Described image identification module for storing preset level-one gesture and two level gesture, and carries out gesture identification to image；
The gesture instruction matching module for storing preset instructions, and searches the instruction to match with the gesture identified；It should
Instruction includes first-level instruction and two level instruction, and first-level instruction is corresponding with level-one gesture, is used for air-conditioner temperature, wind speed, sky
The selection of mode transfer formula；Two level instruction is corresponding with two level gesture, including adding, subtracting, the next item up, the next item down, for temperature height
Low, wind speed size, air conditioning mode option control；
Described instruction memory module, should for storing the first-level instruction found in gesture instruction matching module and two level instruction
Memory module is instructed to include first-level instruction storage unit and the two level location of instruction；
Described instruction explanation module, for the instruction of storage to be construed to airconditioning control signal.
2. a kind of air conditioning control device based on classification gesture identification according to claim 1, it is characterised in that：The figure
As acquisition module includes infrared camera and infrared light compensating lamp.
3. a kind of air conditioning control method based on classification gesture identification, it is characterised in that：It uses air-conditioning described in claim 1
Control device specifically includes following steps：
Step 1, gesture identification model training
By acquiring the picture and video of various people indoors, gesture area is then manually calibrated, the data demarcated are sent
Enter and be trained in depth convolutional neural networks, obtain gesture identification model；
Gesture by palm towards, finger towards and finger bending whether, defined with reference to the posture of arm；
Step 2 presets level-one gesture and two level gesture in picture recognition module, is preset and one in gesture instruction matching module
Grade gesture and the matched first-level instruction of two level gesture and two level instruction；
Step 3 obtains off-the-air picture, and image is sent to image processing module by image capture module；Pass through image procossing
Module carries out wavelet transformation to image, then image is handled to remove in image with median filter and Gaussian filter
Noise, processed image is sent to picture recognition module；
Step 4 opens up two parallel threads by picture recognition module respectively to image progress level-one gesture identification and two level
Gesture identification；
Step 4.1, level-one gesture identification
Step 4.1.1, according to the gesture identification model obtained in step 1, gesture recognition process is carried out to image, is exported as gesture
X or without gesture；If output is not level-one gesture for no gesture or gesture X, abandons picture and continue to identify next frame figure
Picture；If gesture X is level-one gesture, gesture X is sent to gesture instruction matching module；
Step 4.1.2, gesture instruction matching module is according to the matching first-level instruction command_1_ of the type search of gesture X
X, and by the first-level instruction storage unit of first-level instruction command_1_X write instruction memory modules, and opening timing device
Timer；When timer Timer then after, the first-level instruction that stores in the first-level instruction storage unit of clearance order memory module
It deposits；
Step 4.2, two level gesture identification
Step 4.2.1, according to the gesture identification model obtained in step 1, gesture recognition process is carried out to image, is exported as gesture
Y or without gesture；If output is not two level gesture for no gesture or gesture Y, abandons picture and continue to identify next frame；Such as
Fruit gesture Y is two level gesture, and gesture Y is sent to gesture instruction matching module；
Step 4.2.2, gesture instruction matching module is according to the matching instruction command_2_Y of the type search of gesture Y, and
It will be in the two level location of instruction of command_2_Y write instruction memory modules；
Step 4.2.3, whether the instruction of decision instruction storage unit storage is complete, i.e., whether exists simultaneously first-level instruction and two level
Instruction；Complete instruction command_1_X+command_2_Y are sent to instruction explanation module, clearance order if complete
The two level instruction stored in memory module, and refresh the timer Timer of first-level instruction retention time；If imperfect, directly
The two level instruction stored in the two level location of instruction of flush instructions memory module；
Step 4.2.4, instruction explanation module calculates instruction according to the instruction command_1_X+command_2_Y received
Corresponding control signal, and send control signals to air-conditioning.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109814717A (en) * | 2019-01-29 | 2019-05-28 | 珠海格力电器股份有限公司 | A kind of home equipment control method, device, control equipment and readable storage medium storing program for executing |
| CN109948542A (en) * | 2019-03-19 | 2019-06-28 | 北京百度网讯科技有限公司 | Gesture identification method, device, electronic equipment and storage medium |
| CN110967976A (en) * | 2018-09-28 | 2020-04-07 | 珠海格力电器股份有限公司 | Control method and device of intelligent home system |
| CN113190107A (en) * | 2021-03-16 | 2021-07-30 | 青岛小鸟看看科技有限公司 | Gesture recognition method and device and electronic equipment |
| CN113548061A (en) * | 2021-06-25 | 2021-10-26 | 北京百度网讯科技有限公司 | Man-machine interaction method and device, electronic equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007078270A (en) * | 2005-09-14 | 2007-03-29 | Daikin Ind Ltd | Air conditioning system |
| CN105373785A (en) * | 2015-11-30 | 2016-03-02 | 北京地平线机器人技术研发有限公司 | Method and device of hand gesture recognition and detection on the basis of deep neural network |
| CN106054627A (en) * | 2016-06-12 | 2016-10-26 | 珠海格力电器股份有限公司 | Control method and device based on gesture recognition and air conditioner |
| CN106247561A (en) * | 2016-08-30 | 2016-12-21 | 广东美的制冷设备有限公司 | A kind of air-conditioning and long-range control method thereof and device |
| CN106406524A (en) * | 2016-09-05 | 2017-02-15 | 珠海格力电器股份有限公司 | Device control method and device |
| CN106886275A (en) * | 2015-12-15 | 2017-06-23 | 比亚迪股份有限公司 | The control method of car-mounted terminal, device and vehicle |
-
2017
- 2017-12-08 CN CN201711293662.2A patent/CN108131808B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007078270A (en) * | 2005-09-14 | 2007-03-29 | Daikin Ind Ltd | Air conditioning system |
| CN105373785A (en) * | 2015-11-30 | 2016-03-02 | 北京地平线机器人技术研发有限公司 | Method and device of hand gesture recognition and detection on the basis of deep neural network |
| CN106886275A (en) * | 2015-12-15 | 2017-06-23 | 比亚迪股份有限公司 | The control method of car-mounted terminal, device and vehicle |
| CN106054627A (en) * | 2016-06-12 | 2016-10-26 | 珠海格力电器股份有限公司 | Control method and device based on gesture recognition and air conditioner |
| CN106247561A (en) * | 2016-08-30 | 2016-12-21 | 广东美的制冷设备有限公司 | A kind of air-conditioning and long-range control method thereof and device |
| CN106406524A (en) * | 2016-09-05 | 2017-02-15 | 珠海格力电器股份有限公司 | Device control method and device |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110967976A (en) * | 2018-09-28 | 2020-04-07 | 珠海格力电器股份有限公司 | Control method and device of intelligent home system |
| CN109814717A (en) * | 2019-01-29 | 2019-05-28 | 珠海格力电器股份有限公司 | A kind of home equipment control method, device, control equipment and readable storage medium storing program for executing |
| CN109814717B (en) * | 2019-01-29 | 2020-12-25 | 珠海格力电器股份有限公司 | Household equipment control method and device, control equipment and readable storage medium |
| CN109948542A (en) * | 2019-03-19 | 2019-06-28 | 北京百度网讯科技有限公司 | Gesture identification method, device, electronic equipment and storage medium |
| US10983596B2 (en) | 2019-03-19 | 2021-04-20 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Gesture recognition method, device, electronic device, and storage medium |
| CN109948542B (en) * | 2019-03-19 | 2022-09-23 | 北京百度网讯科技有限公司 | Gesture recognition method and device, electronic equipment and storage medium |
| CN113190107A (en) * | 2021-03-16 | 2021-07-30 | 青岛小鸟看看科技有限公司 | Gesture recognition method and device and electronic equipment |
| CN113190107B (en) * | 2021-03-16 | 2023-04-14 | 青岛小鸟看看科技有限公司 | Gesture recognition method and device and electronic equipment |
| CN113548061A (en) * | 2021-06-25 | 2021-10-26 | 北京百度网讯科技有限公司 | Man-machine interaction method and device, electronic equipment and storage medium |
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