CN106547354A - A kind of gesture method of calibration and device for controlling air-conditioning - Google Patents
A kind of gesture method of calibration and device for controlling air-conditioning Download PDFInfo
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- CN106547354A CN106547354A CN201610932571.8A CN201610932571A CN106547354A CN 106547354 A CN106547354 A CN 106547354A CN 201610932571 A CN201610932571 A CN 201610932571A CN 106547354 A CN106547354 A CN 106547354A
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- G—PHYSICS
- 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 gesture method of calibration and device for controlling air-conditioning, the method for calibration comprises the steps：Step 1, gathers the image of air-conditioning forefoot area；Step 2, identifies gesture and gesture in image position in the picture；Step 3, judges the position whether in filtration zone, if it is, execution step 4；Step 4, this gesture identification are invalid.Acquisition module that the calibration equipment includes being sequentially connected, identification module, judge module.The invention provides a kind of filter type of wrong gesture, the quick technical purpose for eliminating wrong gesture is reached by way of setting up filtration zone, to solve the problems such as existing gesture identification false triggering brought due to the complexity of domestic environment, air-conditioning maloperation, recognized the gesture or gesture sequence of expression user's true intention, improve the reliability and accuracy of gesture identification.
Description
Technical field
The present invention relates to intelligent air condition technical field, specifically for, the present invention is a kind of handss for controlling air-conditioning
Gesture method of calibration and device.
Background technology
It is existing to control, in the scheme of air-conditioning, only to rely only on the discriminatory analysiss of opponent's gesture sequence of operation based on gesture identification,
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, artware
Etc. cause misrecognition, false triggering, such as, some static mural painting, photograph, glove etc. easily cause gesture identification false triggering, from
And cause the misoperation of air-conditioning, the experience of user is not only have impact on, and, false triggering air-conditioning can waste the energy, affect empty
The service life of tune.
Therefore, how to avoid gesture identification false triggering, avoid air-conditioning maloperation, improve gesture identification reliability and
Verity, becomes the emphasis of those skilled in the art's technical problem urgently to be resolved hurrily and research.
The content of the invention
Ask to solve the existing gesture identification false triggering brought due to the complexity of domestic environment, air-conditioning maloperation etc.
Topic, the invention discloses a kind of gesture method of calibration and device for controlling air-conditioning, the gesture to recognizing is verified, is entered
And judge the effective or invalid conclusion of gesture identification, dramatically avoid gesture identification false triggering, air-conditioning maloperation etc. and ask
Topic.
To realize above-mentioned technical purpose, the invention discloses a kind of gesture method of calibration for controlling air-conditioning, the verification
Method comprises the steps：
Step 1, gathers the image of air-conditioning forefoot area；
Step 2, identifies gesture and gesture in image position in the picture；
Step 3, judges the position whether in filtration zone, if it is, execution step 4；
Step 4, this gesture identification are invalid.
The present invention innovatively filters the gesture identification of falseness by the way of filtration zone, improves the accurate of gesture identification
Rate and precision, comprehensively, thoroughly solve the problems, such as the misrecognition that causes due to complicated domestic environment.
Further, filtration zone is set up in the following way：
Step 31, gathers the first image of air-conditioning forefoot area；
Step 32, identifies first position of the first gesture and first gesture in the first image in the first image；
Step 33, is once gathered, is recognized new gesture every first time period, if there is new gesture in first position
Number of times exceed preset times, then first position is added into filtration zone.
The present invention sets up the mode of filtration zone and is easier to realize, by the study of certain number of times, training, and should
The characteristics of mode has real-time and accuracy, is that the gesture verification of the present invention provides the foundation.
When further, due to actual acquisition, often there is error in the picture for gathering twice, actual ask to solve this
Topic, in step 33 of the present invention, the distance between the new gesture identified every first time period and first gesture are less than default length
When spending, then illustrate that new gesture occurs in first position, gesture sentencing in first position occurrence number is affected so as to avoid error
It is disconnected.
Further, in step 33, if the number of times that gesture occurs in first position in the second time period exceedes default time
Number, then add filtration zone by first position.
Further, in step 33, first position was the 3rd time period in the effect duration of filtration zone, by first position plus
After entering filtration zone, through the 3rd time period, first position is deleted from filtration zone.
Further, in step 33, filtration zone is emptied every the 4th time period.
As domestic environment may change, such as the picture on a face wall is suspended on another face wall, now filtration zone
In certain position will fail, above provide two kinds of methods for removing expired strain positions, periodically clear up automatically, or,
Self-timing, formulation after generating strain position comes into force the cycle.
The invention also discloses a kind of utilize the above-mentioned gesture method of calibration for controlling air-conditioning to carry out gesture verification
Device, acquisition module that the calibration equipment includes being sequentially connected, identification module, judge module；
Acquisition module, gathers the image of air-conditioning forefoot area；
Identification module, identifies gesture and gesture in image position in the picture；
Judge module, judges the position whether in filtration zone, if it is, this gesture identification is invalid.
The present invention innovatively filters the gesture identification of falseness by the way of filtration zone, improves the accuracy rate of gesture identification
And precision, comprehensively, thoroughly solve the misrecognition phenomenon that causes due to complicated domestic environment.
When further, due to actual acquisition, often there is error in the picture for gathering twice, in order to solve the problem,
The calibration equipment also includes computing module, for calculating every between the new gesture and first gesture that first time period is identified
When the distance between distance, new gesture and first gesture are less than preset length, then illustrate that new gesture occurs in first position, so as to
Avoid error and gesture is affected in the judgement of first position occurrence number.
Further, collecting unit is the combination of photographic head or photographic head and depth transducer.
Further, the calibration equipment also includes memory module, and memory module is used for storage image.
Beneficial effects of the present invention are：The invention provides a kind of filter type of wrong gesture, by setting up filtering area
The mode in domain reaches the quick technical purpose for eliminating wrong gesture, existing with solve to bring due to the complexity of domestic environment
The problems such as gesture identification false triggering, air-conditioning maloperation, recognized the gesture or gesture sequence of expression user's true intention, carried
The reliability and accuracy of high gesture identification.
Description of the drawings
Fig. 1 is the gesture method of calibration schematic flow sheet for controlling air-conditioning.
Fig. 2 is the method flow schematic diagram for setting up 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 present invention with reference to Figure of description
And explanation.
Embodiment one：
As shown in Figure 1, 2, 3, the invention discloses a kind of gesture method of calibration for controlling air-conditioning, the method for calibration bag
Include following steps：
Step 1, gathers the image of air-conditioning forefoot area；" the air-conditioning forefoot area " of the present invention can be regarded as conventional gesture control
Any place of air-conditioning, such as, the position just to air-conditioning, user are typically in " air-conditioning forefoot area " to control air-conditioning.
Step 2, identifies gesture and gesture in image position in the picture；Present invention gesture figure in advance to setting
Sorter model is obtained after as carrying out the collection of great amount of samples, machine learning.By with this sorter model to real time picture
Scanning and calculating, meet position and the size of setting gesture in obtaining picture.The gesture for setting in advance is following one kind or several
Kind：1. the five fingers open, just the palm to photographic head；2. several fingers, the just various gestures to photographic head are stretched out；3. the fist heart or
Fist of the finger joint just to photographic head；For the identification of gesture or gesture sequence, according to the gesture class of all pictures in above several seconds
Not, the output result of position, judges which kind of default gesture sequence belonged to, and finally controls air-conditioning and carries out corresponding operation.In advance
If gesture sequence be one or more following：A) palm stops sequence：1. gesture continues the 2-3 seconds；B) stretch grasp fist sequence：
After 1. gesture continues several figures, there are gesture 3. several figures；C) independent gesture sequence：2. gesture continues the 2-3 seconds.Above-mentioned gesture sequence
It is one or more following to arrange corresponding air conditioner operation：I. switching on and shutting down：After detecting gesture sequence A or B, open state is just
Shutdown, off-mode are just started shooting；II. adjust temperature：Temperature adjustment state, Ran Houzai are entered after detecting gesture sequence A or B
Corresponding temperature is adjusted to according to gesture classification after detecting gesture sequence C；III. shaping modes：Detect gesture sequence A or
Mode tuning state is entered after person B, corresponding pattern is adjusted to according to gesture classification after then detecting gesture sequence C again；IV.
Orientation air-supply：Orientation ventilation state is entered after detecting gesture sequence A or B, following two one kind are performed：1) it is right for the first time
Hand gesture location to blow, state before second return, iterative cycles；2) blow against primary operating gesture position for the first time, the
It is secondary to blow against second operating gesture position, repeatedly against the hand gesture location conversion of operation；V. air-supply is liked：Detect 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 detected after position of human body against certain
People blows or the pattern of wind is swept in a group human world, hide air supply pattern be detect position of human body after avoid people position air-supply mould
Formula.
Step 3, judges the position of gesture in step 2 image whether in filtration zone, if it is, execution step 4；
Step 4, this gesture identification are invalid.
If in certain position continuous several times detection gesture, this position is added to gesture filtration zone, this mistake
The gesture in filter region will be deactivated, specifically, as shown in Fig. 2 the present invention sets up filtration zone in the following way：
Step 31, gathers the first image of air-conditioning forefoot area；
Step 32, identifies first position of the first gesture and first gesture in the first image in the first image；
Step 33, is once gathered, is recognized new gesture every first time period, collection, identification work is repeated, such as
Fruit exceedes preset times in the number of times that new gesture occurs in first position, then first position is added filtration zone；Preset times can
Reasonably set as needed, such as 5 to 10 times.More specifically, if first position occurs in the second time period
The number of times of gesture exceedes preset times, then first position is added filtration zone.Said method requires continuous some second times
The gesture sequence of same position is all detected in section, may be failed in practical application, be to solve this problem, can be by second
Time segment value is arranged to a less value, such as a few minutes, if repeated detection is to the gesture of same position, the position
It is added to gesture filtration zone
For above-mentioned steps 31,32,33, specifically for, the present invention can set up gesture by following embodiment
Filtration zone：Gesture filtration zone is set up：After gesture sequence is recognized, further check the position P1 of gesture whether in gesture
Inside filtration zone, then this gesture is effective, while starting intervalometer T=0；In time T=T1, if detecting this again
The gesture sequence of individual position P1, then this gesture still effectively, but while create the gestures detection enumerator C1 of this position, if
Devise a stratagem numerical value is C1=2.From T=T1, if being detected by same position P1 every the T1 times has gesture identification, the handss of P1
Gesture detection counter C1 Jia 1 automatically.When the value of gestures detection enumerator C1 is more than certain setting value C0, position P1 is added to
Gesture filtration zone, performs above-mentioned steps repeatedly, can set up a gesture filtration zone by multiple position P1.Said method
It is required that continuous some T1 times all detect the gesture sequence of same position, may fail in practical application.As further
Improve, may be required in certain shorter time interval T0, if repeated detection is to the gesture of same position P2, position
Put P2 and be added to gesture filtration zone.
In step 33, in practical application, image-recognizing method is deposited to the repeated detection of the gesture sequence of same position
In certain discordance, little deviation is had, the present invention overcomes offset issue in the following way：Recognize every first time period
When the distance between the new gesture for going out and first gesture are less than preset length, then illustrate that new gesture occurs 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 certain preset length D；
The position for then thinking the two gestures is identical, wherein, the value of D reasonably can be chosen according to actual needs, such as, D
Less than 5 centimetres.
In step 33, after gesture filtration zone is set up, need variable interval to delete some positions for being not required to filter, for example, hang
Picture has been changed, and photograph is placed on elsewhere.This operation can have two schemes.The first scheme, computing unit timing, than
As gesture filtration zone was such as emptied every 1 month.The present invention is solved the above problems in the following way：First position is in filtering area
The effect duration in domain was the 3rd time period, and first position is added after filtration zone, through the 3rd time period, by first position from mistake
Filter is deleted in region, and the length of the 3rd time period can be set as needed.In addition, the present invention can also be by another mode solution
Certainly the problems referred to above：All positions of gesture filtration zone set an effect duration, more than effect duration position by automatically from gesture
Filtration zone is deleted, and the effect duration of the present invention was set as the 4th time period, emptied filtration zone every the 4th time period.
The mode of present invention transmission control command may include various：(1) it is connected with air-conditioning by serial ports and transmits control command
The operational factor of control air-conditioning, including but not limited to design temperature, wind direction, wind speed, switching on and shutting down, pattern etc.；(2) by red
Outside line transmission control command control air-conditioning operational factor, including but not limited to design temperature, wind direction, wind speed, switching on and shutting down,
Pattern etc.；(3) operational factor that control command controls air-conditioning, including but not limited to design temperature, air-supply angle are transmitted by WiFi
Degree, wind speed, switching on and shutting down, pattern etc.；(4) by ZigBee transmit control command control air-conditioning operational factor, including but do not limit
In design temperature, wind direction, wind speed, switching on and shutting down, pattern etc..
The invention also discloses a kind of gesture method of calibration for controlling air-conditioning carries out the device of gesture verification, its feature
It is acquisition module, identification module, judge module that the calibration equipment includes being sequentially connected；
Acquisition module, gathers the image of air-conditioning forefoot area；Acquisition module is photographic head or photographic head and depth transducer
Combination.
Collecting unit is the combination of photographic head or photographic head and depth transducer.In the present embodiment, acquisition module is singly to take the photograph
As head：Only one of which photographic head, gathers high-definition image information.(1) present invention with the neural network model based on deep learning come
Graphical analyses are carried out, the information such as position and posture, the position of gesture and the posture of human body or face are found out；(2) common multiframe
Weight is combined or algorithm recurrent neural network algorithm multiframe result statistics, obtains accurate information；(3) map back the three-dimensional of reality
Space, obtains the information such as position and posture, the position of gesture and the posture of human body or face；Apart from size target imaging size
To estimate.
Identification module, identifies gesture and gesture in image position in the picture；
Judge module, judges position whether in filtration zone, if it is, this gesture identification is invalid.
The calibration equipment also 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 also includes memory module, and memory module is used for storage image.Memory module is used for storage image.This
In embodiment, memory module can be that memory space carrys out storage system less than the unit of 2G, it is also possible to while store very small amount regarding
Frequency or picture, and have one to expand mouth support plug-in card storage video；Memory module can also be unit of the space more than 2G depositing
Storage system, picture and video, and have an expansion mouth for supporting plug-in card to allow user to expand according to demand or not expand amount of storage.
Embodiment two：
The present embodiment is essentially identical with embodiment one, and its difference is：The acquisition module of the present embodiment is dual camera：One
Individual black and white photographic head, a colour imagery shot, gather many parts of high-definition image information.(1) black and white photographic head collection profile, colour are taken the photograph
As head gathers colourity, synthesize an image not affected by backlight and the low light level；(2) with the neural network model based on deep learning
To carry out graphical analyses, position, posture of human body or face etc. are found out, and the information such as the position of gesture, posture；(3) it is common many
The weight combination of frame or algorithm recurrent neural network algorithm multiframe result statistics, obtain accurate information；(4) map back reality
Three dimensions, obtain the information such as position and posture, the position of gesture and the posture of human body or face；Apart from size target imaging
Size is estimating.
Embodiment three：
The present embodiment is essentially identical with embodiment one, and its difference is：The acquisition module of the present embodiment is dual camera：Two
Individual colour imagery shot, gathers the high-definition image information of two parts of different angles.(1) pixel matching is first carried out, then by one
The information such as the distance of position of the pixel in two images and two photographic head are judging the actual range of each pixel；(2)
Mobile object and background are split according to the actual range and the range information of former time period of all pixels point, and tracks motive objects
Body；(3) with other naive models such as the support vector machine of neural network model or feature based based on deep learning come to not
The mobile object of identification carries out graphical analyses, finds out the information such as position and posture, the position of gesture and the posture of human body or face；
4) three dimensions of reality are mapped back, the information such as position and posture, the position of gesture and the posture of human body or face, distance is obtained
Size is estimated with target sizes.
Example IV：
The present embodiment is essentially identical with embodiment one, and its difference is：The acquisition module of the present embodiment is as head and range finding
The combination of sensor group：One photographic head gathers chrominance image information, one or one group of sensor acquisition depth, distance, temperature
At least one in information.(1) motive objects are split according to the actual range and the range information of former time period of all pixels point
Body and background, and track mobile object；(2) with the support vector machine of neural network model or feature based based on deep learning
Graphical analyses are carried out Deng other naive models to Unidentified mobile object, position and posture, the handss of human body or face are found out
The information such as the position of gesture and posture；(3) three dimensions of reality are mapped back, position and posture, the gesture of human body or face is obtained
Position and the information such as posture；Estimated with target sizes apart from size.
Additionally, term " first ", " second " are only used for describing purpose, and it is not intended that indicating or implying relative importance
Or the implicit quantity for indicating indicated technical characteristic, unless otherwise expressly limited specifically.Thus, define " first ",
At least one this feature can be expressed or be implicitly included to the feature of " second ".In describing the invention, " multiple " contain
Justice is at least two, such as two, three etc., unless otherwise expressly limited specifically.
In the present invention, unless otherwise clearly defined and limited, term " installation ", " being connected ", " connection ", " fixation " etc.
Term should be interpreted broadly, for example, it may be fixedly connected, or be detachably connected, or it is integral；Can be that machinery connects
Connect, or electrically connect；Can be joined directly together, it is also possible to be indirectly connected to by intermediary, can be in two elements
The connection in portion or the interaction relationship of two elements, unless otherwise clearly restriction.For one of ordinary skill in the art
For, above-mentioned term concrete meaning in the present invention can be understood as the case may be.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
Example ", or the description of " some examples " etc. mean specific features with reference to the embodiment or example description, structure, material or spy
Point is contained at least one embodiment or example of the present invention.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.And, the specific features of description, structure, material or feature can be with office
Combined in one or more embodiments or example in an appropriate manner.Additionally, in the case of not conflicting, the skill of this area
The feature of the different embodiments or example described in this specification and different embodiments or example can be tied by art personnel
Close and combine.
Presently preferred embodiments of the present invention is these are only, it is not to limit the present invention, all in flesh and blood of the present invention
On any modification, equivalent and the simple modifications made etc., should be included within the scope of the present invention.
Claims (10)
1. a kind of gesture method of calibration for controlling air-conditioning, it is characterised in that the method for calibration comprises the steps：
Step 1, gathers the image of air-conditioning forefoot area；
Step 2, identifies gesture and gesture in image position in the picture；
Step 3, judges the position whether in filtration zone, if it is, execution step 4；
Step 4, this gesture identification are invalid.
2. the gesture method of calibration for controlling air-conditioning according to claim 1, it is characterised in that build in the following way
Vertical filtration zone：
Step 31, gathers the first image of air-conditioning forefoot area；
Step 32, identifies first position of the first gesture and first gesture in the first image in the first image；
Step 33, is once gathered, is recognized new gesture every first time period, if there is the secondary of new gesture in first position
First position is then added filtration zone more than preset times by number.
3. the gesture method of calibration for controlling air-conditioning according to claim 2, it is characterised in that in step 33, every
When the distance between new gesture that first time period is identified and first gesture are less than preset length, then illustrate that new gesture is occurred in
First position.
4. the gesture method of calibration for controlling air-conditioning according to claim 3, it is characterised in that in step 33, if
The number of times that gesture occurs in first position in the second time period exceedes preset times, then first position is added filtration zone.
5. the gesture method of calibration for controlling air-conditioning according to claim 4, it is characterised in that in step 33, first
Position was the 3rd time period in the effect duration of filtration zone, and first position is added after filtration zone, through the 3rd time period, will
Delete from filtration zone first position.
6. the gesture method of calibration for controlling air-conditioning according to claim 4, it is characterised in that in step 33, every
4th time period emptied filtration zone.
7. a kind of gesture method of calibration for controlling air-conditioning utilized in claim 1 to 6 described in any claim is carried out
The device of gesture verification, it is characterised in that acquisition module that the calibration equipment includes being sequentially connected, identification module, judge module；
The acquisition module, gathers the image of air-conditioning forefoot area；
The identification module, identifies gesture and gesture in image position in the picture；
The judge module, judges the position whether in filtration zone, if it is, this gesture identification is invalid.
8. the gesture calibration equipment for controlling air-conditioning according to claim 7, it is characterised in that the calibration equipment is also wrapped
Computing module is included, for calculating the distance between new gesture and first gesture for identifying every first time period.
9. the gesture calibration equipment for controlling air-conditioning according to claim 8, it is characterised in that the collecting unit is
The combination of photographic head or photographic head and depth transducer.
10. the gesture calibration equipment for controlling air-conditioning according to claim 9, it is characterised in that the calibration equipment is also
Including memory module, the memory module is used for storage image.
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| CN201610932571.8A CN106547354B (en) | 2016-10-31 | 2016-10-31 | It is a kind of for controlling the gesture method of calibration and device of air-conditioning |
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| CN201610932571.8A CN106547354B (en) | 2016-10-31 | 2016-10-31 | It is a kind of for controlling the gesture method of calibration and device of air-conditioning |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108088032A (en) * | 2017-10-31 | 2018-05-29 | 珠海格力电器股份有限公司 | Control method and device of air conditioner |
| 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 |
| CN109770460A (en) * | 2017-11-15 | 2019-05-21 | 富港电子（东莞）有限公司 | Glove for gesture identification |
| 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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| CN1249454A (en) * | 1998-09-28 | 2000-04-05 | 松下电器产业株式会社 | Method and apparatus for dividing gesture |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108088032A (en) * | 2017-10-31 | 2018-05-29 | 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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| Publication number | Publication date |
|---|---|
| CN106547354B (en) | 2019-08-02 |
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