CN106547354B - It is a kind of for controlling the gesture method of calibration and device of air-conditioning - Google Patents
It is a kind of for controlling the gesture method of calibration and device of air-conditioning Download PDFInfo
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- CN106547354B CN106547354B CN201610932571.8A CN201610932571A CN106547354B CN 106547354 B CN106547354 B CN 106547354B CN 201610932571 A CN201610932571 A CN 201610932571A CN 106547354 B CN106547354 B CN 106547354B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
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Abstract
The invention discloses a kind of for controlling the gesture method of calibration and device of air-conditioning, which includes the following steps: step 1, acquires the image of air-conditioning forefoot area；Step 2, the position of gesture and gesture in the picture in image is identified；Step 3, the position is judged whether in filtration zone, if so, thening follow the steps 4；Step 4, this gesture identification is invalid.The calibration equipment includes sequentially connected acquisition module, identification module, judgment module.The present invention provides a kind of filter types of wrong gesture, reach the technical purpose for quickly eliminating wrong gesture by way of establishing filtration zone, to solve complexity due to domestic environment the problems such as the existing gesture identification false triggering of bring, air-conditioning maloperation, so that the gesture for expressing user's true intention or gesture sequence is identified, improves the reliability and accuracy of gesture identification.
Description
Technical field
The present invention relates to intelligent air condition technical fields, specifically for, the present invention is a kind of for controlling the hand of air-conditioning
Gesture method of calibration and device.
Background technique
In the existing scheme based on gesture identification control air-conditioning, the discriminance analysis of opponent's gesture sequence of operation is only relied only on,
Often family's use environment is not taken into account.Due to the complexity of domestic environment, it is possible to can be due to ornament, craftwork
Etc. leading to misrecognition, false triggering, for example, mural painting, photograph, the gloves etc. of some static state easily cause gesture identification false triggering, from
And lead to the malfunction of air-conditioning, the usage experience of user is not only affected, moreover, false triggering air-conditioning can waste of energy, influence sky
The service life of tune.
Therefore, how to avoid gesture identification false triggering, avoid air-conditioning maloperation, improve gesture identification reliability and
Authenticity becomes the emphasis of those skilled in the art's technical problem urgently to be resolved and research.
Summary of the invention
For solve due to domestic environment complexity and the existing gesture identification false triggering of bring, air-conditioning maloperation etc. are asked
Topic, the invention discloses a kind of for controlling the gesture method of calibration and device of air-conditioning, verifies to the gesture recognized, into
And judge the effective or invalid conclusion of gesture identification, it dramatically avoids gesture identification false triggering, air-conditioning maloperation etc. and asks
Topic.
To realize the above-mentioned technical purpose, the invention discloses a kind of for controlling the gesture method of calibration of air-conditioning, the verification
Method includes the following steps:
Step 1, the image of air-conditioning forefoot area is acquired；
Step 2, the position of gesture and gesture in the picture in image is identified；
Step 3, the position is judged whether in filtration zone, if so, thening follow the steps 4；
Step 4, this gesture identification is invalid.
The present invention innovatively filters false gesture identification by the way of filtration zone, improves the accurate of gesture identification
Rate and precision, comprehensively, thoroughly solve the problems, such as complicated domestic environment and caused by misidentify.
Further, filtration zone is established in the following way:
Step 31, the first image of air-conditioning forefoot area is acquired；
Step 32, the first position of first gesture and first gesture in the first image in the first image is identified；
Step 33, one acquisition, the new gesture of identification are carried out every first time period, if there is new gesture in first position
Number be more than preset times, then filtration zone is added in first position.
The mode that the present invention establishes filtration zone is easier to realize, by the study of certain number, training, and should
Mode has the characteristics that real-time and accuracy, provides the foundation for gesture verification of the invention.
When further, due to actual acquisition, often there is error in the picture acquired twice, practical ask to solve this
Topic, in step 33 of the present invention, the distance between new gesture and first gesture for identifying every first time period are less than default grow
When spending, then illustrate that new gesture appears in first position, to avoid error and influence gesture sentencing in first position frequency of occurrence
It is disconnected.
Further, in step 33, if it is more than default time that the number of gesture, which occurs, in first position in second time period
Number, then be added filtration zone for first position.
Further, in step 33, first position is the third period in the validity period of filtration zone, by first position plus
After entering filtration zone, by the third period, first position is deleted from filtration zone.
Further, in step 33, filtration zone is emptied every the 4th period.
Since domestic environment may change, for example the picture on a face wall is suspended on another face wall, at this time filtration zone
In some position will fail, the method for removing expired strain position above provide two kinds, periodically automatic cleaning, alternatively,
Self-timing, formulation come into force the period after generation strain position.
Gesture verification is carried out using the above-mentioned gesture method of calibration for controlling air-conditioning the invention also discloses a kind of
Device, the calibration equipment include sequentially connected acquisition module, identification module, judgment module；
Acquisition module acquires the image of air-conditioning forefoot area；
Identification module identifies the position of gesture and gesture in the picture in image；
Judgment module judges the position whether in filtration zone, if it is, this gesture identification is invalid.
The present invention innovatively filters false gesture identification by the way of filtration zone, improves the accuracy rate of gesture identification
And precision, comprehensively, thoroughly solve as complicated domestic environment and caused by misidentify phenomenon.
When further, due to actual acquisition, often there is error in the picture acquired twice, in order to solve this problem,
The calibration equipment further includes computing module, for calculating every between the first time period new gesture identified and first gesture
Distance then illustrates that new gesture appears in first position when the distance between new gesture and first gesture are less than preset length, thus
It avoids error and influences gesture in the judgement of first position frequency of occurrence.
Further, acquisition unit is the combination of camera or camera and depth transducer.
Further, which further includes memory module, and memory module is for storing image.
The invention has the benefit that the present invention provides a kind of filter types of wrong gesture, by establishing filtering area
The mode in domain reaches the technical purpose for quickly eliminating wrong gesture, and to solve the complexity due to domestic environment, bring is existing
The problems such as gesture identification false triggering, air-conditioning maloperation, enables the gesture for expressing user's true intention or gesture sequence to identify, mentions
The reliability and accuracy of high gesture identification.
Detailed description of the invention
Fig. 1 is the gesture method of calibration flow diagram for controlling air-conditioning.
Fig. 2 is the method flow schematic diagram for establishing filtration zone.
Fig. 3 is the gesture calibration equipment composition schematic diagram for controlling air-conditioning.
Specific embodiment
Detailed explanation is carried out to the gesture method of calibration for controlling air-conditioning of the invention with reference to the accompanying drawings of the specification
And explanation.
Embodiment one:
As shown in Figure 1, 2, 3, the invention discloses a kind of for controlling the gesture method of calibration of air-conditioning, the method for calibration packet
Include following steps:
Step 1, the image of air-conditioning forefoot area is acquired；" air-conditioning forefoot area " of the invention can be regarded as common gesture control
Any place of air-conditioning, for example, the position of face air-conditioning, user is typically in " air-conditioning forefoot area " to control air-conditioning.
Step 2, the position of gesture and gesture in the picture in image is identified；The present invention is in advance to the gesture figure of setting
Picture obtains sorter model after carrying out the acquisition of great amount of samples, machine learning.By with this sorter model to real time picture
Scanning and calculating obtain the position and the size that meet setting gesture in picture.The gesture being set in advance is below a kind of or several
Kind: 1. the five fingers open, the palm of face camera；2. stretching out several fingers, the various gestures of face camera；3. the fist heart or
The fist of finger joint face camera；Identification for gesture or gesture sequence, according to the gesture class of all pictures in several seconds of front
Not, the output of position finally controls air-conditioning and carries out corresponding operation as a result, which kind of preset gesture sequence judged to belong to.In advance
If gesture sequence be one or more below: A) palm stop sequence: gesture 1. continue 2-3 seconds；B it) stretches and grasps fist sequence:
1. gesture continues several figures after, there are gesture 3. several figures；C) independent gesture sequence: 2. gesture continues 2-3 seconds.Above-mentioned gesture sequence
Arranging corresponding air conditioner operation is one or more below: I. switching on and shutting down: after detecting gesture sequence A or B, open state is just
Shutdown, off-mode are just switched on；II. it adjusts temperature: entering temperature adjustment state after detecting gesture sequence A or B, then again
It is adjusted according to gesture classification to corresponding temperature after detecting gesture sequence C；III. shaping modes: detect gesture sequence A or
Enter mode tuning state after person B, is adjusted according to gesture classification to corresponding mode after then detecting gesture sequence C again；IV.
Orientation air-supply: enter orientation ventilation state after detecting gesture sequence A or B, execute one kind of following two: 1) right for the first time
Hand gesture location blow, second return before state, iterative cycles；2) it is blown for the first time against the operating gesture position of first time, the
Secondary opposite second of operating gesture position is blown, repeatedly against the hand gesture location transformation of operation；V. air-supply is liked: detecting gesture
After sequence A or B, switching air-supply hobby.It is switched to if being currently to follow air supply pattern and hides air supply pattern, if currently
It is to hide air supply pattern and be then switched to follow air supply pattern.Wherein following air supply pattern is after detecting position of human body against some
People blows or the mode of a group human world swing flap, and hiding air supply pattern is the mould that the position air-supply of people is avoided after detecting position of human body
Formula.
Step 3, whether the position of gesture is in filtration zone in 2 image of judgment step, if so, thening follow the steps 4；
Step 4, this gesture identification is invalid.
If this position is added to gesture filtration zone, this mistake in some position continuous several times detection gesture
The gesture in filter region will be deactivated, specifically, as shown in Fig. 2, the present invention establishes filtration zone in the following way:
Step 31, the first image of air-conditioning forefoot area is acquired；
Step 32, the first position of first gesture and first gesture in the first image in the first image is identified；
Step 33, one acquisition, the new gesture of identification are carried out every first time period, acquisition, identification work is repeated, such as
Fruit is more than preset times in the number that new gesture occurs in first position, then filtration zone is added in first position；Preset times can
It is reasonably set as needed, such as 5 to 10 times.More specifically, if first position occurs in second time period
The number of gesture is more than preset times, then filtration zone is added in first position.The above method requires continuous several second times
The gesture sequence of same position is all detected in section, may be failed in practical application, it to solve this problem, can be by second
Time segment value is arranged to a lesser value, such as a few minutes, if repeated detection to the gesture of the same position, the position
It is added to gesture filtration zone
For above-mentioned steps 31,32,33, specifically for, the present invention can establish gesture by following embodiment
Whether filtration zone: gesture filtration zone is established: after recognizing gesture sequence, further checking the position P1 of gesture in gesture
Inside filtration zone, then this gesture is effective, while starting timer T=0；In time T=T1, if detecting this again
The gesture sequence of a position P1, then this gesture is still effective, but creates the gestures detection counter C1 of this position simultaneously, if
Devise a stratagem numerical value is C1=2.From T=T1, if being detected by same position P1 every the T1 time has gesture identification, the hand of P1
Gesture detection counter C1 adds 1 automatically.When the value of gestures detection counter C1 is greater than some setting value C0, position P1 is added to
Gesture filtration zone, executes above-mentioned steps repeatedly, can set up a gesture filtration zone by multiple position P1.The above method
It is required that continuous several T1 times all detect the gesture sequence of same position, may fail in practical application.As further
Improve, may be required in some shorter time interval T0, if repeated detection to the gesture of the same position P2, position
It sets P2 and is added to gesture filtration zone.
In step 33, in practical application, image-recognizing method deposits the repeated detection of the gesture sequence of the same position
In certain inconsistency, little deviation is had, the present invention overcomes offset issue in the following way: being identified every first time period
When the distance between new gesture and first gesture out are less than preset length, then illustrate that new gesture appears in first position；More
Specifically, the comparison of hand gesture location is compared using distance, when the distance of two hand gesture locations is less than some preset length D；
Then think that the position of the two gestures is identical, wherein the value of D can reasonably be chosen according to actual needs, for example, D
Less than 5 centimetres.
In step 33, after gesture filtration zone is established, not timing is needed to delete some positions for being not required to filtering, such as hang
Picture has changed, and photograph is placed on elsewhere.This operation can be there are two types of scheme.The first scheme, computing unit timing, than
As such as emptied gesture filtration zone every 1 month.The present invention solves the above problems in the following way: first position is in filtering area
The validity period in domain is the third period, after filtration zone is added in first position, by the third period, by first position from mistake
Filter is deleted in region, and the length of third period can be set as needed.In addition, the present invention can also pass through another mode solution
The certainly above problem: all positions of gesture filtration zone set a validity period, more than validity period position by automatically from gesture
Filtration zone is deleted, and validity period of the invention was set as the 4th period, empties filtration zone every the 4th period.
The mode that the present invention transmits control command may include a variety of: (1) being connected by serial ports with air-conditioning and transmit control command
Control the operating parameter of air-conditioning, including but not limited to set temperature, wind direction, wind speed, switching on and shutting down, mode etc.；(2) by red
Outside line transmit control command control air-conditioning operating parameter, including but not limited to set temperature, wind direction, wind speed, switching on and shutting down,
Mode etc.；(3) operating parameter that control command controls air-conditioning, including but not limited to set temperature, air-supply angle are transmitted by WiFi
Degree, wind speed, switching on and shutting down, mode etc.；(4) operating parameter that control command controls air-conditioning is transmitted by ZigBee, including but unlimited
In set temperature, wind direction, wind speed, switching on and shutting down, mode etc..
The gesture method of calibration that the invention also discloses a kind of for controlling air-conditioning carries out the device of gesture verification, feature
It is, which includes sequentially connected acquisition module, identification module, judgment module；
Acquisition module acquires the image of air-conditioning forefoot area；Acquisition module is camera or camera and depth transducer
Combination.
Acquisition unit is the combination of camera or camera and depth transducer.In the present embodiment, acquisition module is singly to take the photograph
As head: only one camera acquires high-definition image information.(1) present invention with the neural network model based on deep learning come
Image analysis is carried out, the information such as position and posture, the position of gesture and posture of human body or face are found out；(2) common multiframe
Weight combination or algorithm recurrent neural network algorithm multiframe result statistics, obtain accurate information；(3) three-dimensional of reality is mapped back
Space obtains the information such as position and posture, the position of gesture and posture of human body or face；Apart from size target imaging size
To estimate.
Identification module identifies the position of gesture and gesture in the picture in image；
Judgment module judges position whether in filtration zone, if it is, this gesture identification is invalid.
The calibration equipment further includes computing module, for calculate the new gesture identified every first time period with it is first-hand
The distance between gesture.
The calibration equipment further includes memory module, and memory module is for storing image.Memory module is for storing image.This
In embodiment, the unit that memory module can be less than 2G for memory space carrys out storage system, can also store minute quantity view simultaneously
Frequency or picture, and there is an expansion mouth to support plug-in card storage video；Memory module may be unit of the space greater than 2G to deposit
Storage system, picture and video, and have the expansion mouth of a support plug-in card to allow user to expand or do not expand amount of storage according to demand.
Embodiment two:
The present embodiment is basically the same as the first embodiment, and difference is: the acquisition module of the present embodiment is dual camera: one
A black and white camera, a colour imagery shot acquire more parts of high-definition image information.(1) black and white camera acquires profile, and colour is taken the photograph
As head acquires coloration, one image not influenced by backlight and dim light of synthesis；(2) with the neural network model based on deep learning
Image analysis is carried out, finds out the information such as the position, posture of position, posture of human body or face etc. and gesture；(3) common more
The weight of frame combines or algorithm recurrent neural network algorithm multiframe result statistics, obtains accurate information；(4) reality is mapped back
Three-dimensional space obtains the information such as position and posture, the position of gesture and posture of human body or face；Apart from size target imaging
Size is estimated.
Embodiment three:
The present embodiment is basically the same as the first embodiment, and difference is: the acquisition module of the present embodiment is dual camera: two
A colour imagery shot acquires the high-definition image information of two parts of different angles.(1) pixel matching is first carried out, then passes through one
The information such as the distance of position and two camera of the pixel in two images judge the actual range of each pixel；(2)
According to the actual range of all pixels point and the range information of former period segmentation mobile object and background, and track motive objects
Body；(3) with the neural network model based on deep learning or based on other naive models such as support vector machines of feature come to not
The mobile object of identification carries out image analysis, finds out the information such as position and posture, the position of gesture and posture of human body or face；
4) three-dimensional space for mapping back reality, obtains the information such as position and posture, the position of gesture and posture of human body or face, distance
Size is estimated with target sizes.
Example IV:
The present embodiment is basically the same as the first embodiment, and difference is: the acquisition module of the present embodiment is as head and ranging
The combination of sensor group: a camera acquires chrominance image information, one or a set of sensor sampling depth, distance, temperature
At least one of information.(1) motive objects are divided according to the actual range of all pixels point and the range information of former period
Body and background, and track mobile object；(2) with the neural network model based on deep learning or based on the support vector machines of feature
To carry out image analysis to unidentified mobile object Deng other naive models, finds out position and the posture, hand of human body or face
The information such as the position of gesture and posture；(3) three-dimensional space for mapping back reality, obtains position and the posture, gesture of human body or face
Position and the information such as posture；Estimate apart from size target sizes.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or the quantity of indicated technical characteristic is implicitly indicated, unless otherwise specifically defined.Define as a result, " first ",
The feature of " second " can explicitly or implicitly include at least one of the features.In the description of the present invention, " multiple " contain
Justice is at least two, such as two, three etc., unless otherwise specifically defined.
In the present invention unless specifically defined or limited otherwise, term " installation ", " connected ", " connection ", " fixation " etc.
Term shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or integral；It can be mechanical connect
It connects, is also possible to be electrically connected；It can be directly connected, can also can be in two elements indirectly connected through an intermediary
The interaction relationship of the connection in portion or two elements, unless otherwise restricted clearly.For those of ordinary skill in the art
For, the specific meanings of the above terms in the present invention can be understood according to specific conditions.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
The above is merely preferred embodiments of the present invention, it is not intended to limit the invention, it is all in substantive content of the present invention
Any modification, equivalent replacement and simple modifications etc., should all be included in the protection scope of the present invention made by upper.
Claims (9)
1. a kind of for controlling the gesture method of calibration of air-conditioning, which is characterized in that the method for calibration includes the following steps:
Step 1, the image of air-conditioning forefoot area is acquired；
Step 2, the position of gesture and gesture in the picture in image is identified；
Step 3, the position is judged whether in filtration zone, if so, thening follow the steps 4；
Step 4, this gesture identification is invalid；
Filtration zone is established in the following way:
Step 31, the first image of air-conditioning forefoot area is acquired；
Step 32, the first position of first gesture and first gesture in the first image in the first image is identified；
Step 33, one acquisition, the new gesture of identification are carried out every first time period, if there is time of new gesture in first position
Number is more than preset times, then filtration zone is added in first position.
2. according to claim 1 for controlling the gesture method of calibration of air-conditioning, which is characterized in that in step 33, every
When the distance between new gesture and first gesture that first time period identifies are less than preset length, then illustrate that new gesture appears in
First position.
3. according to claim 2 for controlling the gesture method of calibration of air-conditioning, which is characterized in that in step 33, if
The number that gesture occurs in first position in second time period is more than preset times, then filtration zone is added in first position.
4. according to claim 3 for controlling the gesture method of calibration of air-conditioning, which is characterized in that in step 33, first
Position is the third period in the validity period of filtration zone,, will by the third period after filtration zone is added in first position
It is deleted from filtration zone first position.
5. according to claim 3 for controlling the gesture method of calibration of air-conditioning, which is characterized in that in step 33, every
4th period emptied filtration zone.
6. a kind of carry out using described in any claim in claim 1 to 5 for controlling the gesture method of calibration of air-conditioning
The device of gesture verification, which is characterized in that the calibration equipment includes sequentially connected acquisition module, identification module, judgment module；
The acquisition module acquires the image of air-conditioning forefoot area；
The identification module identifies the position of gesture and gesture in the picture in image；
The judgment module judges the position whether in filtration zone, if it is, this gesture identification is invalid.
7. according to claim 6 for controlling the gesture calibration equipment of air-conditioning, which is characterized in that the calibration equipment also wraps
Computing module is included, for calculating the distance between the new gesture identified every first time period and first gesture.
8. according to claim 7 for controlling the gesture calibration equipment of air-conditioning, which is characterized in that the acquisition module is
The combination of camera or camera and depth transducer.
9. according to claim 8 for controlling the gesture calibration equipment of air-conditioning, which is characterized in that the calibration equipment also wraps
Memory module is included, the memory module is for storing image.
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| CN108088032B (en) * | 2017-10-31 | 2020-04-21 | 珠海格力电器股份有限公司 | Control method and device of air conditioner |
| CN109770460A (en) * | 2017-11-15 | 2019-05-21 | 富港电子（东莞）有限公司 | Glove for gesture identification |
| CN108897421A (en) * | 2018-06-19 | 2018-11-27 | 芜湖美智空调设备有限公司 | Electronic equipment and its control method, device and computer readable storage medium |
| CN114007140A (en) * | 2021-10-29 | 2022-02-01 | 海信视像科技股份有限公司 | Method for controlling position of controlled role through gesture and display device |
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|---|---|---|---|---|
| CN1249454A (en) * | 1998-09-28 | 2000-04-05 | 松下电器产业株式会社 | Method and apparatus for dividing gesture |
| JP2015191250A (en) * | 2014-03-27 | 2015-11-02 | キヤノン株式会社 | Information processing apparatus, control method thereof, program, and recording medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1249454A (en) * | 1998-09-28 | 2000-04-05 | 松下电器产业株式会社 | Method and apparatus for dividing gesture |
| JP2015191250A (en) * | 2014-03-27 | 2015-11-02 | キヤノン株式会社 | Information processing apparatus, control method thereof, program, and recording medium |
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